tag:blogger.com,1999:blog-66270876160945106092024-03-18T16:04:05.302+13:00Beyond a Blackboard Danni Stonehttp://www.blogger.com/profile/06470833379829179523noreply@blogger.comBlogger185125tag:blogger.com,1999:blog-6627087616094510609.post-49388011578178307872023-08-04T12:40:00.000+12:002023-08-13T13:19:56.680+12:00Running out of time!<p>This term I've been trying out my maths intervention. I have been using more materials/ songs etc. - a variety of modes of content and different teaching practices. This has been targeted specifically at my groups operating at level 1 and 2 of the curriculum.</p><p>It has been hard work. The gaps of my learners are very broad, so while they are technically around the same level, they have different strengths and weaknesses. I think having the span of level 1 - 5 has been a little too much to cater for effectively - I take my hat off to teachers in rural schools who have this span. I expect you would get accustomed to it, but also I think a smaller class (less than 29) would help greatly!</p><p>The activities have definitely paid off - I can see how teaching using multi-modal offline/online experiences is especially important when learning the initial maths concepts. However, I think it's quite engaging for all learners, even those working well above. The problem lies with the time it takes to plan various activities for such a diverse class - it's not really feasible for a large/varied class like mine. If I didn't have release time to work on my inquiry it realistically wouldn't happen very often, or I'd only be able to cater for a few students.</p><p>I think if I had more time, at this point I would pivot my intervention again. I would create three workshops a day tailored to different skills with some 'must do' activities related to the workshop and then some optional activities that cover a wider range of concepts - e.g. basic facts practice, maintenance of skills learned previously etc. I would also work on getting the students to recognise their own strengths/ next steps so that they could effectively select tasks and workshops.</p><p>Frustratingly, this is very similar to the intervention I came up with in 2017. I was reluctant to go back to this as I felt I could add more elements to it and wanted to push myself out of my comfort zone more. In hindsight I should have just started by unpacking this intervention (from my dissertation that was fully researched and had expert help with) and following it before adapting/ adding new elements. </p><p>I think this has been a good piece of learning for me though - sometimes we learn more from our failures and by pushing ourselves. I have a lot clearer picture of what I would do were I setting up a class from scratch in 2024. Instead, I will be on maternity leave, which will also be an educational experience as I learn from my number obsessed toddler!</p>Danni Stonehttp://www.blogger.com/profile/06470833379829179523noreply@blogger.com0tag:blogger.com,1999:blog-6627087616094510609.post-17241525436074505842023-07-27T14:31:00.002+12:002023-07-27T14:31:12.372+12:00A great opportunity for my intervention!<p> This morning I taught maths to a large group (around 21) of Y7/8 students performing well below in maths. In Geometry (our current focus), most of these students were around a year three level. Perfect for my intervention!</p><p>I was excited by the opportunity to teach a full lesson in the style of my intervention. With a range of activities and videos up my sleeve I devoted the full 80 minutes to teaching the students about the properties of shapes.</p><p>Some of our investigating included:</p><p></p><ul style="text-align: left;"><li>A triangle is still a triangle if it is 'upside down' and 'sideways'</li><li>There are different types of triangle</li><li>A square has to have the same length sides or it is a rectangle </li><li>A rhombus is not a wonky square</li><li>Not every 5+ sided shape is a hexagon - there's a name for each!</li></ul><p></p><p>The students actually loved learning these things! I was so pleasantly surprised by their level of engagement and willingness to ask questions when all of the tasks were at their level and presented in different ways.</p><p>At one point of the lesson we listened to a song describing all of the shapes and several of the students sung along - just as I had witnessed in the junior classes. </p><p>I ended with a kahoot that contained all of the key learnings from the lesson - everyone ended feeling successful and clear about what they had learned. It was a big moment for one of my girls who won the kahoot and smashed the activities - it really boosted her confidence.</p><p><b>Things to adapt</b></p><p>My tasks involved too much writing. I hadn't considered that many of these students are also well below in writing, so it took me a moment to realise I needed to write the names of the shapes on the board for some to copy for spelling reasons (I had angles, vertices and sides written up as this was the vocab I anticipated being the focus for spelling/ acquistion). I will definitely consider the literacy demands of my tasks and spelling words next time.</p><p>My tasks were still too long. It took the students longer than I anticipated to get through their online slides. While these were multi-modal with digital manipulatives (quite engaging/ at correct level) they were still a little too long - I think the writing definitely contributed to this.</p><p>Some worksheets and paper based tasks were completed very quickly - but perhaps this is a good thing and it is me who needs to get used to a more rapid pace - as long as the task is not too easy!</p><p><br /></p><p><br /></p><p><br /></p><p><br /></p>Danni Stonehttp://www.blogger.com/profile/06470833379829179523noreply@blogger.com0tag:blogger.com,1999:blog-6627087616094510609.post-2714849989645257962023-07-20T13:46:00.045+12:002023-07-27T14:11:50.763+12:00My Intervention<p> Towards the end of term 2 I had a rude awakening: I had a term left of my inquiry before starting maternity leave!!</p><p>Due to this, I needed to fast track my intervention. It was really tempting to fall back on my 2017 dissertation, in which I had a hugely successful intervention in maths that really changed my practice for the better.</p><p>As I critiqued my current practice, I could feel myself falling back on this. It was hard not to examine myself through a narrow lens; what am I not doing now that has worked well in the past?</p><p>Obviously it is important to use past inquiries - 'don't throw the baby out with the bath water'. But simply going back to an old intervention felt like a cop out. I had to at least build on it and adapt it. As I identified a weakness in my practice for teaching early maths knowledge and strategies, I decided to try something different. I investigated the style of teaching - the teaching process in our new entrants hub.</p><p><b>Key Learnings</b></p><p>- When the maths itself is simple and short (e.g. learning to count to 20), the activities suit being short and simple too. However, you do a wider variety of multi modal activities so the learning sticks.</p><p>- Incorporating music/ movement/ games/ non-digital multi-modal activities in quick succession is very powerful. It keeps engagement high but means the learning is reinforced in different ways.</p><p>- Things can move quite quickly with these learning intentions if you are consistent - rinse and repeat, then on to the next thing.</p><p><b>Different to my practice</b></p><p>Realistically, my students would get through 2, maybe 3 different activities a session. This included some online slides, a paper based task and then maths whizz or a learning game/ video/ times tables challenge etc. with their group. My tasks would take quite a lot longer than those done by the five year olds. Obviously this makes sense as their attention span is longer, but they could have a few more short activities followed by a longer one for example.</p><p><b>My Intervention</b></p><p>For my high performing students (achieving at and above), keep my teaching similar, adding in a few more songs or activities at their level. They need to be solving level 5 maths problems, which take longer and are meatier. They also showed great progress in the 6 months I taught them last year, so they don't need the same level of intervention. I will keep these students as one large group - the span of my other learners is too large and this group can cope with being together.</p><p>For my students below and well below - change up their program so they have shorter slides and do different activities throughout the lesson. I envision them all coming together for some activities and others being taught in group time. E.g. beginning the lesson with a song or game that introduces/ reinforces a core concept then differentiating the next activity for each group, while the others rotate between slides/ video/ maths whizz/ paper based activities/ mini maths activities like timestable challenges (on/offline).</p><p>I will keep visiting the junior classes to build up my repertoire of really simple games and activities. I will modify these to suit the age of my learners, but want to really build up their feelings of success.</p>Danni Stonehttp://www.blogger.com/profile/06470833379829179523noreply@blogger.com0tag:blogger.com,1999:blog-6627087616094510609.post-61625224907719315412023-07-04T13:55:00.001+12:002023-07-21T14:56:09.968+12:00Reflecting on my Teaching<p> After consulting research about what could be considered 'best practice' in teaching mathematics, I need to compare my findings with my current practice.</p><p>After looking at my planning/ class site, student blogs and chatting to my students, there are a few things I can see I have strengths in and some that I need to work on.</p><p><b>PROS</b></p><p>Curriculum knowledge</p><p>This has always been one of my strengths. I was real nerd at university and have attended a fair bit of PD over the years to ensure I have a good understanding of what is expected at each level of the curriculum. As such, I can offer students content that is appropriate for their level of learning. A lot of the content I have historically made covers level 4 achievement objectives - appropriate for year 7 and 8. Hill, Rowan and Ball (2005) identify that teachers knowledge directly affects their students achievement. It has been a common theme I have seen across literature, but there is a lot more to teaching maths.</p><p>Basic Facts</p><p>I have been able to introduce lots of basic fact learning tasks to my class. We have times table quizzes/ games and I include things I want my students to memorise frequently in my tasks - e.g. lots of converting between 0.25, 25% and 1/4 as I want them to automatically recall this. I found lots of research, such as <a href="https://www.nzcer.org.nz/nzcerpress/set/articles/basic-facts-start-strategies-move-memorisation">this article</a>, highlighting the need to teach basic facts.</p><p><br /></p><p><b>Work Ons</b></p><p>Differentiation</p><p>This is something I once had a strength in. I remember when I first started teaching, I had a few classes whose span was a lot smaller - say year 5 to 8 and I was able to prepare different content/ materials/ experiences for my learners well. This year my span is five levels of the curriculum - my student range from year 2 to 9. It's been a challenge to say the least! While I've set content at all of these levels, it has been near impossible to meet with each group of kids daily and to keep up with experiences that best suit their needs. I had five groups at each level of the curriculum, but within those groups the learners had quite different strengths. I then tried to move to flexible grouping - they would all move to different groups if they found something too difficult/easy. This made it a lot better, but there was always at least one set of students missing out, unfortunately this was usually my higher learners.</p><p>Teaching Junior Maths</p><p>I haven't had a student as low as year two since I was a first year BT, but the span of my students achievement levels means I have a group who are still at a junior school level. I've always taught older students, so I have gaps in my understanding of the teaching processes required for students at this level. While I can identify their next steps/ knowledge and strategies they need, the experiences and materials are different. </p><p>Since becoming a mum to a number loving toddler, and from spending time in junior classes, I can see how children's love of maths can begin. I love the way they take joy in numbers and experimenting. There must be more ways to capture this in a senior classroom. This is something I'm going to focus on in my teaching.</p><p><br /></p><p><br /></p><p><br /></p>Danni Stonehttp://www.blogger.com/profile/06470833379829179523noreply@blogger.com0tag:blogger.com,1999:blog-6627087616094510609.post-9597192827633260372023-06-01T09:19:00.001+12:002023-06-09T09:38:19.285+12:00Findings about my Student Challenge<p> At a recent inquiry meeting, Clarelle mentioned that her testing revealed that her students gaps were like a sieve; each child had different gaps in different areas with little overlap. I can definitely say the same about my class; the gaps have common themes but differ with each child.</p><p>A common theme I have found; the difference between my year sevens and eights is huge. My year eights consistently outperform my year sevens and have fewer gaps, except for in extenuating circumstances (e.g. two girls whose attendance was below 50 percent for years of their schooling).As such, I am going to do almost a year level split in my class in terms of my grouping.</p><p>Another common theme is that my year sevens tend to have strengths in number, but their strand and ratio knowledge is massively lacking. </p><p>After dedicating almost ten weeks to filling in all number and ratio gaps, I now have to attend to the gaps that the children have in strand. Like I mentioned before, while I can generally say the students have gaps in 'measurement', each child has different gaps. I have some who don't know how to use a ruler, but understand area and perimeter and vice versa, for example.</p><p> These 'gaps' run deep. There are students working 'at' their age in number, who couldn't say whether you should measure a person in mm, cm or m. </p><p>This makes teaching really challenging!!</p><p>Another common theme from my interview with the students, was that almost all of my lower performing students have very low confidence or self efficacy in maths. "I'm bad at maths", "I'm better at reading", "I hate maths... because I suck at it". These students show less interest in maths in general and are quieter in group work than the students who said that they enjoy maths, unsurprisingly.</p><p>I don't want to waste time.</p><p>One thing that I found from teaching my Number unit addressing massive fractions/decimals/percentages gaps is that it was easy to feel like I was wasting some students time. Trying to cover everyone's gaps (in each of my five groups, spanning level 1-5 of the curriculum), was time consuming and meant that some students were going over things they had already mastered. Yes, all students showed improvement and most gaps were filled adequately, but at a real cost of time.</p><p>What can I do?</p><p>I think I need to consider very flexible grouping and get students to choose (with some support) the learning intention that they need to work on. I wonder if this would also increase student agency and self-efficacy; empowering them to improve their own learning.</p><p>I also think I need to differentiate my actual methods of teaching and teaching task for my students working at levels 1 and 2 (year 2 - 4) of the curriculum. The teaching in junior classes looks very different to senior/college level classes and I need to reflect this more in my practice.</p>Danni Stonehttp://www.blogger.com/profile/06470833379829179523noreply@blogger.com0tag:blogger.com,1999:blog-6627087616094510609.post-31346103546620186672023-05-25T16:08:00.002+12:002023-05-25T16:08:08.049+12:00There is a place for Rote Learning?<p> After reading about how Irish and Swedish teachers facilitate more memorisation of facts than in New Zealand, I decided to read a little further about 'rote learning'.</p><p>I found <a href="https://www.nzcer.org.nz/nzcerpress/set/articles/basic-facts-start-strategies-move-memorisation">this article</a> with information about the rote learning of basic facts. While it contains some things I am already familiar with - the fact that knowledge of basic facts such as times tables frees up cognitive load and enables children to solve more complex problems.</p><p>The level of memorisation required by students is automaticity - they need instant recall. For example, do you know off the top of your head, do you know the 15th letter of the alphabet? What about 4 x 8?</p><p>8,16... is not automatic - it needs to be something that comes straight to mind. Otherwise there is still some cognitive load.</p><p>In order to reach this level of automaticity, it seems like a variety of approaches is needed. Students need to be exposed to basic facts in different contexts, multiple times to commit them to memory. I think this is an area we are going wrong - we are thinking that by giving them the same task on a regular basis - e.g. a times table website, that we are doing enough to support them to reach automaticity. However, perhaps we need to go a bit broader with this.</p><p>However, I am not ignoring the fact that many high performing countries also use culturally responsive, 'real world' approaches to teaching maths. I have read a lot of research on this, particularly from the DMIC programme, which I do believe still has a place in the classroom.</p><p><br /></p><p><br /></p>Danni Stonehttp://www.blogger.com/profile/06470833379829179523noreply@blogger.com0tag:blogger.com,1999:blog-6627087616094510609.post-65121835513988916242023-05-23T12:13:00.001+12:002023-05-23T12:13:01.998+12:00Trying out new methods<p>This week I had a go at creating a hands on create activity - a video to teach other students the three times tables. This was at the end of teaching three weeks on the three times table. </p><p>Times tables are another aspect of maths that my students are behind on. My advanced year eights could do them in their sleep, but for my 'at' or below students and all of my year sevens, they are a real struggle!</p>
<iframe allow="autoplay" height="480" src="https://drive.google.com/file/d/1HepxNUVjIYui5flEQxLbSqaT14vrGI9h/preview" width="640"></iframe><div><br /></div><div>I hope by exploring concepts in different contexts my learners will master them!</div>Danni Stonehttp://www.blogger.com/profile/06470833379829179523noreply@blogger.com0tag:blogger.com,1999:blog-6627087616094510609.post-81732389314322916602023-05-22T17:52:00.003+12:002023-05-22T17:52:27.190+12:00What Can We Learn from Other Nations?<p> I've already investigated the state of mathematics in NZ. We clearly have a problem and it is far wider than that of my own classroom. As Hannah, Clarelle and I are undertaking a collaborative inquiry, I decided to have a look at what other countries have done to increase mathematics on a far broader level.</p><p>I looked at our latest NZ TIMSS data in an earlier post, so today I thought I'd look at the countries improving their TIMSS results. <a href="https://assets.education.govt.nz/public/Documents/Ministry/Changes-in-education/Countries-Improving-in-Maths-report.pdf">This report</a> compares the changes made in three countries improving their TIMSS score to the work that we do in NZ. The three countries were Austria, Ireland and Sweden.</p><p>In Austria the most obvious difference to me is the way the teaching profession is treated. Austrian teachers complete a masters course within their first five years of teaching. Specialist maths teachers are utilised from year 6 onwards. As such, their pedagogical content knowledge would be higher than many NZ teachers.</p><p>In Ireland, they have mathematics recovery, similar to the reading recovery that we have in NZ. They also offered funded maths PLD opportunities for teachers in 'project maths' since 2010. They also have a more clear curriculum, with maths goals for every year level (not every two years) and interrelated strands, such as measure, data, shape and space.</p><p>In Sweden, once again, there has been PLD offered and higher qualifications for teachers. There seems to be a bit of a trend in increasing teacher content knowledge.</p><p>In Ireland and Sweden there is more rote learning and memorisation of facts than in NZ. In all countries, teachers do more whole class teaching compared to NZ, where we typically teach small groups.</p><p>I am really not surprised by the difference in teacher content and pedagogical knowledge in maths. As a uni student, I voluntarily sought out a maths tutor who ran a free programme on teaching fractions. I also took a higher mathematics paper and focussed on maths for my dissertation,</p><p>However, I was shocked by a lot of the other students attitudes towards maths. "I didn't really like maths at school, I'll just teach the juniors" said one girl who was identified as needing to attend an extra maths tutorial due to her poor performance in a maths assignment. I remember her distinctly because the next year she got a job at an intermediate school.</p><p>That is not to say that all teachers share this same attitude towards maths, but they do exist and are able to graduate from university.</p><p>I am surprised that the countries in the study used more whole class teaching. The rote learning side I can understand - in England we had to know our times tables by year 4. Here, I've just spent three weeks trying to teach the three times tables to my year 7 and 8's.</p><p>But it seems that the teachers are using whole class instruction to teach full concepts, not just ten minutes of times table practice like we might do in NZ.</p><p>This is something that I would like to investigate further. </p><p><br /></p><p><br /></p><p> </p><p><br /></p><p><br /></p>Danni Stonehttp://www.blogger.com/profile/06470833379829179523noreply@blogger.com0tag:blogger.com,1999:blog-6627087616094510609.post-4100493526003578072023-05-11T11:29:00.007+12:002023-05-22T11:53:10.353+12:00Forming Hunches from Student Data<p> This term I have been gathering data from my learners to determine what challenges need to be addressed. I went into detail on my data collection in previous posts.</p><p>One piece of data that was most striking straight away was my students lack of knowledge in fractions. At the end of term 1, I glossed the majority of my class. There was a group of 7 students whose knowledge in fractions was severely lacking in comparison with their ability to add or multiply. These students were achieving scores around stage 6 in add/sub and mult/div, but stage 2-4 in ratio and proportion. These students could multiply and divide by 4, but could not find 1/4 of 20. There are a multitude of studies that support the fact that fractions are a common weakness for primary school students, for several reasons <span style="background-color: #f7f7f7; color: #282828; font-family: MuseoSans, Georgia, "Times New Roman", Times, serif;">(</span><a href="https://www.frontiersin.org/articles/10.3389/fpsyg.2013.00715/full#B4" style="background-color: #f7f7f7; box-sizing: border-box; color: rgb(29, 181, 195) !important; font-family: MuseoSans, Georgia, "Times New Roman", Times, serif; hyphens: auto; outline: none; text-decoration-line: none; word-break: break-word;">Behr et al., 1983</a><span style="background-color: #f7f7f7; color: #282828; font-family: MuseoSans, Georgia, "Times New Roman", Times, serif;">; </span><a href="https://www.frontiersin.org/articles/10.3389/fpsyg.2013.00715/full#B28" style="background-color: #f7f7f7; box-sizing: border-box; color: rgb(29, 181, 195) !important; font-family: MuseoSans, Georgia, "Times New Roman", Times, serif; hyphens: auto; outline: none; text-decoration-line: none; word-break: break-word;">Moss and Case, 1999</a><span style="background-color: #f7f7f7; color: #282828; font-family: MuseoSans, Georgia, "Times New Roman", Times, serif;">; </span><a href="https://www.frontiersin.org/articles/10.3389/fpsyg.2013.00715/full#B15" style="background-color: #f7f7f7; box-sizing: border-box; color: rgb(29, 181, 195) !important; font-family: MuseoSans, Georgia, "Times New Roman", Times, serif; hyphens: auto; outline: none; text-decoration-line: none; word-break: break-word;">Grégoire and Meert, 2005</a><span style="background-color: #f7f7f7; color: #282828; font-family: MuseoSans, Georgia, "Times New Roman", Times, serif;">; </span><a href="https://www.frontiersin.org/articles/10.3389/fpsyg.2013.00715/full#B9" style="background-color: #f7f7f7; box-sizing: border-box; color: rgb(29, 181, 195) !important; font-family: MuseoSans, Georgia, "Times New Roman", Times, serif; hyphens: auto; outline: none; text-decoration-line: none; word-break: break-word;">Charalambous and Pitta-Pantazi, 2007</a>).</p><p>From my in class observations, I can see that these students also have major gaps in areas such as measurement; even how to use a ruler! There is one very obvious factor that this could be attributed to - distance learning and absence during Covid. </p><p>These mathematic concepts really require the use of materials and very direct teaching - something that was very tricky to do during Covid. It also makes sense that the gaps that these students have go back to a year 4 level - the age they were when lockdowns first started. </p><p>So a hunch I have is that my students are going to need more opportunities to use materials and experience concepts in different contexts. Learning about fractions for example, they are going to need repetition and to keep exploring with concepts, as purported in studies such as <a href="https://www.frontiersin.org/articles/10.3389/fpsyg.2013.00715/full">Gabriel et al., 2013</a>.</p><p>I am going to respond to this hunch during my unit on fractions at the start of term 2, so that I can gather more data and evaluate my own practice.</p><p><br /></p>Danni Stonehttp://www.blogger.com/profile/06470833379829179523noreply@blogger.com0tag:blogger.com,1999:blog-6627087616094510609.post-60850564503624612892023-05-08T07:04:00.004+12:002023-05-08T07:04:57.277+12:00Looking at the Bigger Picture: Maths in NZ<p>Are NZ teachers really failing our students in maths? In 2020, Year 9 students scores in the Trends in International Mathematics and Science Study (TIMSS) fell by the largest margins since the study began in 1994. There is a large gap in the achievement of students from high vs low socioeconomic backgrounds and girls are outperforming boys.</p><p>However, it also found that the students home environment had the biggest impact on their achievement across all countries. </p><p>In the holidays, I spent two weeks at a daycare with a 'high decile' rating whose roll consisted largely of south east asian students and then pakeha (groups who have been found to have the highest achievement in mathematics). </p><p>The first thing I noticed was the students language skills. The three year olds were using phrases and full sentences, asking questions and speaking enough that you could pick up on their thought processes and understanding of the activity they were engaging with. They were excited to learn, quickly picking up anything that was given to them, including mathematical concepts. These children could count, name shapes and identify numbers. </p><p>The daycare had a school transition programme for 4.5 year olds, that very much resembled a new entrants classroom. I saw these students engage with a PE lesson, but they had writing practice (letter formation, writing their names etc.), discussed books and learnt basic maths skills. </p><p>I finally realised the full significance of the early years and the impact it has on student learning. As a year 7/8 teacher, I have might have taught a few students who were learning at level 1 of the curriculum, but I hadn't witnessed the speed at which under fives acquire knowledge. </p><p>Learning is natural with these children. I think of the mathematical concepts I have already introduced to my 20 month old daughter unintentionally - halves, quarters, counting, shapes, patterns, big vs small... She loves playing 'numbers game' where, as we walk to the playground, she notices the numbers on letter boxes and gleefully names them. She is excited to understand more of the world around her. This was something she came up with, but I reinforce with high fives for correct numbers and share excitement in them with her. </p><p>So I could have come out of this experience feeling hopeless, or blaming our maths results on larger societal issues, but it has made me think about the way children learn again. Is there joy in my maths classroom? Are we learning through multiple modes? What experiences have my students missed out on and how can I recreate them in an age appropriate way? </p><p>Lots to think about. As a follow up, I'm going to spend a little bit of time observing maths with our new entrants and get a clearer picture of where my students started from. Perhaps there is something I could take from the junior school and apply to my own learners. </p><p><br /></p>Danni Stonehttp://www.blogger.com/profile/06470833379829179523noreply@blogger.com0tag:blogger.com,1999:blog-6627087616094510609.post-14632474293119541742023-03-31T12:18:00.000+13:002023-03-31T12:18:34.941+13:00Interview Questions<p>As I wrote in my last blog post, I intend to conduct a broad student survey with my class which will be shared across the school to look for overall trends. However, Driscoll (2011) asserts that interviews are useful when gathering in depth data from a small sample. In order to effectively address the needs of my target learners, it makes sense to interview them to gain more insight into their experiences and attitudes towards mathematics.</p><p>Here are the questions I have formulated so far. The interview will be informal to support the ease of my students and I will ask follow up questions to gain further insights and to clarify my understanding.</p><p>1. What is your favourite thing about maths? Potential follow up - Do you enjoy it?</p><p>2. What is your least favourite thing about maths?</p><p>3. Can you think of a maths lesson you have enjoyed in the past? What happened?</p><p>4. How would you rate your ability out of 5 in maths? Why do you think that?</p><p>5. Can you think of an area of maths that you would like to work on (link to what they said in the survey if they could identify an area)?</p><p>6. What is an area of maths that you enjoy or feel good at?</p><p>7. What does a good maths teacher do?</p><p>I am hoping that these questions allow me to determine: 1. What is the students self-efficacy in maths, 2. what are teachers already doing that they feel supported by and 3. Can they identify their strengths/ weaknesses in maths.</p><p>I will begin conducting the interviews in week 2 of term 2. I plan to do the survey prior to conducting the interviews so that I can use the survey data to inform my questions and to further tailor my questions to suit each individual. </p><p>References</p><p><span style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 15px;">Driscoll, D, L. (2011). Introduction to primary research: Observations, surveys, and interviews. Writing spaces: Readings on writing 2, 153-174, 2011</span></p>Danni Stonehttp://www.blogger.com/profile/06470833379829179523noreply@blogger.com0tag:blogger.com,1999:blog-6627087616094510609.post-44113896005444749602023-03-31T12:04:00.004+13:002023-03-31T12:04:47.720+13:00Gathering Data<p> To inform my inquiry I need to gather data from my students regarding their level of achievement in maths, but also their prior experiences and disposition towards the subject.</p><p><b>Gathering Academic Data:</b></p><p>I will use the <b>PAT Maths</b> test results, <b>Gloss</b> test data and <b>e-asTTle</b> maths test data. Greene (2007) purports that it is vital to triangulate test data in order to ensure validity of the results. It could be that one of my students was ill or having an 'off day' when they took the PAT test for example. Or they could have had a great time selecting random answers which can pay off in a multi-choice test like PAT. I know that by using three different testing methods, I will have a more accurate picture of my students current achievement and have more opportunity to identify results that might be inaccurate. </p><p>I am interested to see if there are any patterns in the data. For example, so far from my gloss testing, I have found a large group of students who have a weakness in ratio and proportion. Having this academic data may point towards other common 'gaps' in my students learning. This in turn, may point to areas of the curriculum that our teachers need more support with.</p><p>I also need to collect this data in order to assess the affect that my intervention has on my students learning. </p><p><b>Survey Data</b></p><p>I will get my class to fill in a survey regarding their experiences and feelings towards mathematics. This is the same survey that will be used with Hannah and Clarelle's students, so we can look for wider trends across different year levels. </p><p>It will be interesting to see the areas of maths that our learners will find the most challenging and whether they can identify their strengths and weaknesses. I would also be interested to see what the students attitudes are to maths; if lower achieving students also have low self efficacy. </p><p>Something that I often notice in my learners who make shift is they come to me with maths anxiety. These learners may freeze when they see a problem involving large numbers and generally have low self efficacy in maths. These learners tend to perform below their expected curriculum level, but it is hard to say whether they are low because they are anxious, or anxious because they are low (Carey, Hill, Devine and Szücs, 2016). I wonder what percentage of my lower learners will have low self-efficacy in maths.</p><p>We are also surveying different teachers at our school (and ourselves) to look for trends across our teaching. We might find that teachers follow similar lesson structure, or we may learn that different syndicates or teams of teachers use different approaches. I have previously shared about the <a href="https://beyondablackboard.blogspot.com/2023/03/what-is-our-problem.html">surveys here.</a></p><p><b>Interview</b></p><p>In the past I have conducted interviews alongside surveys as I have found that some students answer questions far more in depth orally. This could be because they are reluctant writers or because in person I can probe further and ask follow up questions to clarify my understanding.</p><p>While a survey used across multiple classes and year levels will enable us to find trends across the school, an interview will give me deeper insight into the minds of my target students. Driscoll (2011) suggests: "use interviews to gain details from a few people, and surveys to learn general patterns from many people." As such, it makes sense for me to use the interview to learn more from my target learners and to use this data to more richly inform my intervention.</p><p>Hannah, Clarelle and I intend to use interventions that best suit our year level of the school and the learners in front of us; to come at the same problem from different angles. As such, I do need to have a firm knowledge of my learners and the interviews will be created to best suit their needs.</p><p>References:</p><p>Carey, E., Hill, F., Devine, A., and Szücs, D. (2016). The chicken or the egg? The direction of the relationship between mathematics anxiety and mathematics performance. Front. Psychol. 6:1987. doi: 10.3389/fpsyg.2015.01987</p><p>Driscoll, D, L. (2011). Introduction to primary research: Observations, surveys, and interviews. Writing spaces: Readings on writing 2, 153-174, 2011.</p><p>Greene J. C. (2007). Mixed methods in social inquiry. San Francisco, CA: John Wiley.</p>Danni Stonehttp://www.blogger.com/profile/06470833379829179523noreply@blogger.com0tag:blogger.com,1999:blog-6627087616094510609.post-67994034462139319682023-03-23T11:58:00.000+13:002023-03-23T11:58:14.296+13:00School Leaders PLD<p>This morning the CoL across school teachers had the privilege of being invited to the School Leaders PLD. This is an opportunity for school leaders (SMT), Manaiakalani Facilitators and Staff to meet to discuss topics pertinent to our Manaiakalani community, teachers and learners.</p><p>We kicked off with a korero from Russell Burt, Convenor, who discussed the main goal and focus for us at the moment; getting a '3fer'. A 3fer meaning getting accelerated progress in Reading, Writing and Maths. Our data shows that we do well across the cluster in writing, and that we have teachers in our schools who are able to get a 3fer, but we need to get this consistent across all classes and maintain it for three years. He also discussed the need to collect data, as the Ministry of Education is falling short at investigating the things that teachers are doing and the impact this has on student learning.</p><p>We heard from Dorothy who recently lead <a href="https://hapara.com/hipipalooza-sh/?utm_source=Hapara+Teacher+Contacts&utm_campaign=0af065c4bd-SH+Hipipalooza+Teacher+-+Day+1&utm_medium=email&utm_term=0_c0fe1d25aa-0af065c4bd-108581429">this keynote</a> for Hapara, Fiona lead conversation about what is working in our schools and then it was our turn as CoL teachers to advertise our support in school.</p><p>Kiri from the Manaiakalani Research team then discussed the upcoming observations. These observations are really crucial for us to be able to pinpoint the direct acts of teaching that has a positive impact on student progress. The research team go into 20 percent of the classes in each school and observe the teachers, but also look at their planning, interview the learners and look at the student outcomes from the session, such as our blog posts. The observation from is available for all teachers to read and use; Dorothy suggested that BT's could use it when observing their mentors. You could also use it for a self reflection - this would have been great for me to do when I was on ClassonAir. So perhaps I will whip out the video camera once again.</p><p>Finally we discussed our continued use of the Learn, Create, Share cycle and the different opportunities we are providing for our learners to do so. We heard about lots of really cool expo's and creative ways that teachers are empowering their tamariki to share.</p><p>I thought this was a really rewarding morning. It is always great to connect with teachers across our cluster, remind ourselves of our 'what', 'where' and 'why' as Manaiakalani teachers. </p><p><br /></p>Danni Stonehttp://www.blogger.com/profile/06470833379829179523noreply@blogger.com0tag:blogger.com,1999:blog-6627087616094510609.post-86075961487923376112023-03-17T11:50:00.003+13:002023-03-31T12:04:58.149+13:00Getting to Know my Learners<p> Today a lot of my release has been spent glossing my class, so I can build a far more accurate picture of student achievement. This has prompted a few wonderings regarding formative assessment. </p><p>Since covid, my school moved away from having teachers gloss the entire class, instead we were advised to gloss the students who we felt were on the 'cusp' of a level, or who we find it harder to make an OTJ for. This made sense to me, as I collect pre/post test data via asttle/ other forms of summative assessment. Last year for example, I had around 8 test results to look at from the second half of the year to inform my OTJ. These included some Gloss testing, lots of asttle results and some ARBs type mini test results. </p><p>However, I know I am an outlier in terms of this frequent testing. I wonder if we should be doing more mini formative assessment/ different types of assessment throughout the year to better inform our practice.</p><p>This is something I will bring to my inquiry group, but hold onto for now.</p><p>In the meantime, my Gloss testing has caused me to change my planning, change my groups around and change the topic for the second half of this term. </p><p>Why? Because I have several students who are around early stage 7 for add/sub and mult/div but all the way back in stage 2-4 for fractions. No really. I have an entire group of students who cannot find a fraction of a set. </p><p>I gave one of my students (11 years old) eight counters and asked her to show find me 1/4 of 8. She arranged the counters as a circle and then 'cut out a piece of the pie'. I've never had a student at this level do something like this before. However, I asked her 8 divided by 4 and she answered instantly. </p><p>Our students often come to us with gaps in fractions and decimals, so I will be interested to see how Clarelle and Hannah's learners get on in this area. I am also hoping to work with two groups of students in years 5/6 to boost the scope of our inquiry and gather more information school wide. </p><p>Are there other areas that students have such stark gaps? How have these gaps remained so large? Lots to think about. </p>Danni Stonehttp://www.blogger.com/profile/06470833379829179523noreply@blogger.com0tag:blogger.com,1999:blog-6627087616094510609.post-55077378646472799752023-03-10T09:01:00.003+13:002023-03-10T09:03:54.477+13:00What is our Problem?<p> This week <a href="http://hmwest.blogspot.com/">Hannah</a>, <a href="https://clarelledavis.blogspot.com/">Clarelle</a> and I have been discussing our collaborative maths inquiry. I am so excited to work with these ladies as I feel we will make a bigger impact working together, looking at a school wide problem.</p><p>Our overall problem is that our students are performing poorly in mathematics. We need to narrow this down and identify specific issues in this area. </p><p>Some of the ponderings we have had so far are:</p><p>- Do certain areas of maths have larger gaps?</p><p>-Are the students able to apply their knowledge? </p><p>-Why aren't student's choosing the most efficient ways of solving problems?</p><p>- Do the children have self efficacy? Do they know where they are at/ their next steps?</p><p>- Are they willing to learn from each other? </p><p>To help us to find areas of focus, Hannah has been working on a series of surveys. She has made one for the senior management team, one for teachers and one for the students. </p><p>Here is an example, the teacher survey:</p><div style="background-color: #d9e1e3; font-family: Calibri; font-size: 15.4px;"><b><br class="Apple-interchange-newline" />Teacher survey:</b></div><div style="background-color: #d9e1e3; font-family: Calibri; font-size: 15.4px;"><b><br /></b></div><div style="background-color: #d9e1e3; font-family: Calibri; font-size: 15.4px;"><b><br /></b></div><p><iframe frameborder="0" height="1929" marginheight="0" marginwidth="0" src="https://docs.google.com/forms/d/e/1FAIpQLSc9yF3tEJ4gItSkot845ZkGIahwbJh4yuUcFFK3nqyvpBNtPg/viewform?embedded=true" style="background-color: #d9e1e3; font-family: Calibri; font-size: 15.4px;" width="640"></iframe></p><p>Meanwhile, Clarelle and I have been testing our students to get a bigger picture of their strengths and weaknesses. We have the PAT data, but we are also using Gloss and EasTTle so that we can triangulate our data and identify trends more reliably. </p>Danni Stonehttp://www.blogger.com/profile/06470833379829179523noreply@blogger.com0tag:blogger.com,1999:blog-6627087616094510609.post-62120746124785802612023-03-03T12:02:00.002+13:002023-03-03T12:02:50.986+13:00Identifying a Problem<p> In my last blog post, I was considering which subject to focus on for my CoL inquiry and came to the conclusion that I should look at Maths. I have since teamed up with Clarelle Carruthers and Hannah Burton to form a collaborative inquiry group.</p><p><br /></p><p>The first step to an inquiry is identifying a problem. I think this evidence is pretty compelling: </p><p><br /></p><p></p><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEgz6D4I6xqtuxx0yMwIPZX-xPioskKyhJX1ADZjCcbfaCIWRVtzl6boSsxYYr_sOhiv9OJ6HnMKHHc3EZ7ftKS2kRVJFWcCTmlRLu8jiNjgSouE7B4GQR7_RkiNRgW46yBFdAvVLI2QfrWAuyOJgK5RFGCzdAtAZjZBPgFr9H6rFui_3R9LRJvR-lzM" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="232" data-original-width="640" height="116" src="https://blogger.googleusercontent.com/img/a/AVvXsEgz6D4I6xqtuxx0yMwIPZX-xPioskKyhJX1ADZjCcbfaCIWRVtzl6boSsxYYr_sOhiv9OJ6HnMKHHc3EZ7ftKS2kRVJFWcCTmlRLu8jiNjgSouE7B4GQR7_RkiNRgW46yBFdAvVLI2QfrWAuyOJgK5RFGCzdAtAZjZBPgFr9H6rFui_3R9LRJvR-lzM" width="320" /></a></div><div class="separator" style="clear: both; text-align: center;"><br /></div><div class="separator" style="clear: both; text-align: center;"><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEhiFUxQhF1Yrlth2VADOByvfHhPIlwsbeuNdID7aA9mF0b9TxXIT04axufzddw_NeCbU1ZsVuE6klnABlzyRPOWmtSVkFjnMx6Mj09IVzCJ5PCkMtB-xopDvuehoM_agzSYrfYy8pxAdSfxa1V-7g_mpV8pkyQw3D7Tgu2DDmbWHnIny7Xn_0brAuHm" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="257" data-original-width="640" height="129" src="https://blogger.googleusercontent.com/img/a/AVvXsEhiFUxQhF1Yrlth2VADOByvfHhPIlwsbeuNdID7aA9mF0b9TxXIT04axufzddw_NeCbU1ZsVuE6klnABlzyRPOWmtSVkFjnMx6Mj09IVzCJ5PCkMtB-xopDvuehoM_agzSYrfYy8pxAdSfxa1V-7g_mpV8pkyQw3D7Tgu2DDmbWHnIny7Xn_0brAuHm" width="320" /></a></div><div class="separator" style="clear: both; text-align: center;"><br /></div><div class="separator" style="clear: both; text-align: center;">This data illustrates the fact that our school's maths data is far behind that of the other Manaiakalani schools. Something needs to change!</div><div class="separator" style="clear: both; text-align: center;"><br /></div><div class="separator" style="clear: both; text-align: center;">We have decided to gather data from across the school to try and identify an area of need from a range of year levels. We are hoping this will support us to make a bigger impact on our learners.</div><div class="separator" style="clear: both; text-align: center;"><br /></div><div class="separator" style="clear: both; text-align: center;">We will of course still examine our own practice and make changes as per a normal inquiry. The idea being that we all follow a similar approach so that other teachers can replicate it if it is successful.</div><br /><br /></div><div class="separator" style="clear: both; text-align: center;"><br /></div><div class="separator" style="clear: both; text-align: center;"><br /></div><br /><br /><p></p>Danni Stonehttp://www.blogger.com/profile/06470833379829179523noreply@blogger.com0tag:blogger.com,1999:blog-6627087616094510609.post-13849296536165453652023-02-23T09:39:00.000+13:002023-02-23T09:39:40.493+13:00Contributing to ManaiakalaniTo help support me to narrow down my inquiry focus (i.e. choose which of my many ideas to actually focus on), I have been chatting to colleagues to identify areas of need.<div><br /></div><div>Yes, reading is still at the forefront of our minds and an area of focus here at Pt England. Across the cluster we have recognised an issue with students getting stuck at an 8-9 year old reading level for several years. But we have amazing research and a variety of CoL inquiries that have confronted this problem. </div><div><br /></div><div>At the moment we have a cluster wide reading intensive, where the Manaiakalani researchers are giving teachers practical support and suggestions that will shift our learners. This programme is based upon research in our own classrooms - it's the next level of inquiry! </div><div><br /></div><div>I think it is quite clear what needs to be done - after years of inquiry and this reading intensive, we really need to put the suggestions from the researchers and other CoL teachers into practice. </div><div><br /></div><div>So while it is a school focus, and I do have 3/4 of a class at an 8-9 year old level (which I am thoroughly enjoying), I think I would do better to focus on a different area. </div><div><br /></div><div>I also want to highlight the work that Latini Ilaoa, Amy Tofa, Robyn Anderson and Clarelle Carruthers have done in this area for years. For those of us not on the intensive, these teachers inquiries also offer a lot of insight into how to shift our students in reading.</div><div><br /></div><div>Okay. So if moving these 'stuck' students has been a passion project/ inquiry focus of mine for the last four years, where does that leave me? What else could I offer the cluster?</div><div><br /></div><div>Well, my first passion project was my multi-modal approach to maths teaching in 2017. It was the focus of my dissertation and something I was making good traction with until our school changed to a DMIC approach - meaning that I had to drop what I had learnt in the years prior.</div><div><br /></div><div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/a/AVvXsEisiemWtmv2GMQ-eMKCbtdgOvNRkchMsfcavhG1y1jZbIdSdMpS2rFb42hRsM8DPakMCiX6-F2N_zn_1AX08oonJfdIb8bEO8TDBgy8Scb_49iQx06OqZdxEZzzEhsusR1IAF2xGj15M4HDku4gFRVRVkc9sNowE4_7q0Win5xlVRY4rR2i80xvO9DZ" style="margin-left: 1em; margin-right: 1em;"><img alt="" data-original-height="595" data-original-width="850" height="224" src="https://blogger.googleusercontent.com/img/a/AVvXsEisiemWtmv2GMQ-eMKCbtdgOvNRkchMsfcavhG1y1jZbIdSdMpS2rFb42hRsM8DPakMCiX6-F2N_zn_1AX08oonJfdIb8bEO8TDBgy8Scb_49iQx06OqZdxEZzzEhsusR1IAF2xGj15M4HDku4gFRVRVkc9sNowE4_7q0Win5xlVRY4rR2i80xvO9DZ" width="320" /></a></div><br /></div><div><br /></div><div>While my maths teaching has been 'good enough' over the last few years, in that I've supported my students to make decent shift, I wouldn't say I've been an adaptive expert. At most I would say I'm a routine expert (or routine competent more like!). </div><div><br /></div><div>But, I did have a good thing going in my dissertation - I put a huge amount of work into it, hours of research and reflection so I would love to put more time into it.</div><div><br /></div><div>I also have identified a vague area of need in the school, after talking to colleagues from each team. Trying to cater to a range of levels in maths can be tricky and it is quite often the highest groups who miss out. These students tend to work well independently, while our lower students need our support (but might be tricky to cater for) and our middle groups tend to be at the level of the curriculum we know best. </div><div><br /></div><div>I am going to investigate this further.</div>Danni Stonehttp://www.blogger.com/profile/06470833379829179523noreply@blogger.com0tag:blogger.com,1999:blog-6627087616094510609.post-69581313066149520892023-02-16T12:11:00.000+13:002023-02-16T12:11:01.890+13:002023 Inquiry Options<p> Wow, I am super eager to get started with my inquiry this year. After spending a couple of weeks with my two main classes, I cannot wait to get further into investigating their learning. In fact I'm probably too excited in terms of narrowing down my inquiry focus.</p><p>On one hand, I have an amazing opportunity to focus on reading. This year half of my class are 'stuck' at an 8-9 year old reading level. I also have one group slightly lower and one group who are at. I have spent the last four and a half years focussed on reading, with particular focus on this level. This could be an amazing year to get shift and work with this level on a larger scale. But after spending so long focussed on this, would it truly be an inquiry, or more putting my past inquiries into practice on a larger scale?</p><p>On the other hand, my real passion started with maths. It was the topic of my dissertation and a subject I really enjoy teaching. I love planning for maths - I can clearly imagine learning pathways for my students and feel so passionate about increasing their confidence. One problem that I already see in my learners is that some have low self-efficacy in maths, or maths anxiety. Another challenge for teachers in maths is differentiating for those at the two extremes. This year I have a seven year gap between my lowest and highest learner in maths - I'm teaching a lot of levels of the curriculum! This is a challenge that other teachers have asked for support with too.</p><p>As an across school's teacher this year, could I include working to support other teachers as part of my inquiry?</p><p>I have a lot to consider!</p>Danni Stonehttp://www.blogger.com/profile/06470833379829179523noreply@blogger.com0tag:blogger.com,1999:blog-6627087616094510609.post-82810131540593095522023-02-13T10:16:00.002+13:002023-02-13T10:16:35.804+13:00Across Schools Teacher 2023<div class="post-body entry-content float-container" id="post-body-7173667347394756742" style="font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 15px; font-stretch: normal; font-variant-east-asian: normal; font-variant-numeric: normal; line-height: 1.6em; margin: 1.5em 0px 2em;"><p><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh0SiVJ79jeUSOAxaxMUFOSCCEtYnUXoYL-fiNBlK47shRS9mi34uhWY1BqgIBgEe8_PXYxEBZ1QQ66Z6OLGBf7G36eLd4xsELtirZNuecIG5NJE7CX2mSad3GpYwTpould0g0-J4tClMo/" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; clear: left; color: #2196f3; float: left; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 15px; margin-bottom: 1em; margin-right: 1em; text-align: center; text-decoration-line: none;"><img alt="" data-original-height="188" data-original-width="188" height="200" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh0SiVJ79jeUSOAxaxMUFOSCCEtYnUXoYL-fiNBlK47shRS9mi34uhWY1BqgIBgEe8_PXYxEBZ1QQ66Z6OLGBf7G36eLd4xsELtirZNuecIG5NJE7CX2mSad3GpYwTpould0g0-J4tClMo/w200-h200/image.png" style="border: 0px; height: inherit; max-width: 100%;" width="200" /></a></p><br /><p></p><p>Kia ora, I'm Danni Stone! I'm a year 7/8 teacher at Pt England School. </p><p>For several years, my inquiry was focussed on reading. In <a href="https://beyondablackboard.blogspot.com/2019/" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; color: #2196f3; text-decoration-line: none;">2019</a>, I was interested in generating more discussion about texts and used reciprocal reading, argumentation boards and debate as part of my intervention.</p><p>In <a href="https://beyondablackboard.blogspot.com/2020/" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; color: #2196f3; text-decoration-line: none;">2020</a> I looked at teaching my students to self-reflect in reading; to identify when they found something challenging and to stop and employ a strategy to support their understanding. </p><p>In <a href="https://beyondablackboard.blogspot.com/2021/">2021</a> I was an across schools teacher and combined my previous two inquiries, with further changes to my practice to shift my learners who were stuck around an 8 year old level. This was a highly successful intervention, but I left in term three to have my daughter, Ruby.</p><p>I am now back as an across schools teacher in 2023 and really looking forward to the year ahead! </p><p>Please feel free to visit my <a href="https://sites.google.com/ptengland.school.nz/team52021/home" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; color: #2196f3; text-decoration-line: none;">class site</a>, to watch my lessons on <a href="https://sites.google.com/manaiakalani.org/onair/home" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; color: #2196f3; text-decoration-line: none;">Class onAir</a> or check out my <a href="https://sites.google.com/a/manaiakalani.org/pld-overview/mita" style="background-attachment: initial; background-clip: initial; background-image: initial; background-origin: initial; background-position: initial; background-repeat: initial; background-size: initial; color: #2196f3; text-decoration-line: none;">MIT</a> inquiry. </p><p><br style="background-color: white;" /></p></div>Danni Stonehttp://www.blogger.com/profile/06470833379829179523noreply@blogger.com0tag:blogger.com,1999:blog-6627087616094510609.post-2292546394421616202022-11-21T20:54:00.003+13:002023-02-16T12:11:40.750+13:00Planning for my 2023 Inquiry<p>As the end of the year approaches, I have a lot to reflect upon. I have noticed many changes in my learners since returning from maternity leave. As a mum, I have found a new sense of passion and enthusiasm for teaching. </p><p>I will use the questions below to help me to consider my focus.</p><p><b> What achievement challenge are you considering as an area of focus in 2023 and why? Include in your WHY both evidence and your own passion/expertise</b></p><p>I would like to focus on Achievement Challenge 4. Increasing the achievement of students in years 7-10, with a focus on reading. This is simply because our data once again identifies this as an area that we need to address. I am confident in my maths teaching, and understand the importance of reading at college. </p><p>On returning to maternity leave I definitely noticed a difference with my learners engagement and self- efficacy when it came to reading. They were good readers but had a very poor view of themselves. </p><p>What learnings from the 2017 - 2022 CoL teacher inquiries have informed or inspired your thinking.</p><p>I was inspired by Robin Andersons inquiry this year, that was focussed on encouraging students to read for enjoyment as this was something I had seen in my own class. I also looked at Jessica and Emma's inquiries on teaching students about the learning process in reading lessons. I've found supporting students metacognition has supported my reading practice in the past. I also draw from my own inquiries, I have worked really hard in this area, making constant improvements to my practice but I have had to continuously make adaptations due to the impact that covid has had on teaching and learning. </p><p>How would your work support Manaiakalani pedagogy and kaupapa?</p><p>My interventions always follow the Learn, Create Share pedagogy and can be easily used by other teachers. As all my resources are visible, I know many of the DLO's that I have created through my past inquiries are used by other educators. </p><p>Which elements of the extensive Manaiakalani research findings inform or challenge you as you think about this?</p><p>I know that we need more extended discussion. I've been successful at facilitating discussion in the past but I could do more of this in my inquiry. I can see that the students who speak up the most in my reading group discussions tend to have a higher self-efficacy and perform better. </p><p>How would you like to be supported in 2023 as you undertake this inquiry?</p><p>I would love to work collaboratively again and be able to discuss my ideas with others. I've missed having talanoa time this year! I also would like to work more with Naomi, as I can definitely see the benefit of extended discussion and critical thinking skills. </p><p>How would you plan to support your colleagues in your school with THEIR inquiries and/or teaching in the area you are exploring?</p><p>I love to discuss teaching! I have done a lot of work in this area in the past, so have quite a few ideas about teaching reading already. I also know that I can learn from others. </p>Danni Stonehttp://www.blogger.com/profile/06470833379829179523noreply@blogger.com0tag:blogger.com,1999:blog-6627087616094510609.post-42218100002942975552022-08-22T12:40:00.004+12:002022-08-23T07:04:45.631+12:00Back to Business!<p>It feels so good to be back at Pt England this term. I feel refreshed from my maternity leave and eager to get back to business!</p><p>I left part way through my most successful inquiry yet! My students were getting eyes on text like never before, we had great discussion and the whole class managed to read a novel (many for the first time). This meant that my students made great shift and I was really pleased with how I left them.</p><p>The week after I left for maternity leave, New Zealand entered another long lockdown. Some of my students didn't return until the very end of the year, if at all. In term one, sickness and a strong message to 'stay home if you have a sniffle' from the government meant that attendance was at an all time low.</p><p>This is still the case, it is now week five and there are a couple of students I have taught twice this term. Twice. I am definitely feeling the pressure to support these children, as they are often playing catch up and I am having to spend some class time explaining what they have missed. </p><p>To combat this my teaching has changed, I am delivering a short activity and learning intention for each individual lesson and ensuring that they are completed then and there. This can be problematic, but it seems to be working best so far. </p><p>But how can I build on from past lessons? How can I engage my students and encourage them to come to school? Can I make a difference in the time I have with them?</p><p>I am hoping to answer these questions in my mini reading inquiry. At this point I am focussing on engagement in particular, as no matter how great my teaching is, it has no impact in an empty classroom.</p>Danni Stonehttp://www.blogger.com/profile/06470833379829179523noreply@blogger.com0tag:blogger.com,1999:blog-6627087616094510609.post-75298543135886040422022-07-22T16:32:00.004+12:002022-07-22T16:32:26.197+12:00Making a ComebackBecoming a mum has definitely been the most rewarding experience of my life, although it has come with new challenges! I have been fascinated with early childhood education, reading studies about language acquisition and early development. I think I can finally see the appeal of teaching young children; their rate of growth is incredible! <div><br /></div><div><div class="separator" style="clear: both; text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhRQXdGTJzVDsSV_pgE69e63BRc93n_CWAh8Sik4xOojgQutO1C53IxestUef6PgnSpJYGICCHfav8RBRUYWRxjC6vC_C436QTDom7wLz-tQKkiQvi_eaPPG4QPTf6w8W8skBnxX3_pDctIZq9gOC1-pdz-4DsHI0geiAqYKFbZOUmXXj6fOvjUxQKE/s867/IMG_1260.JPG" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" data-original-height="867" data-original-width="480" height="320" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhRQXdGTJzVDsSV_pgE69e63BRc93n_CWAh8Sik4xOojgQutO1C53IxestUef6PgnSpJYGICCHfav8RBRUYWRxjC6vC_C436QTDom7wLz-tQKkiQvi_eaPPG4QPTf6w8W8skBnxX3_pDctIZq9gOC1-pdz-4DsHI0geiAqYKFbZOUmXXj6fOvjUxQKE/s320/IMG_1260.JPG" width="177" /></a></div><div class="separator" style="clear: both; text-align: center;"><br /></div>I have quite often heard Dr Jannie Van Hees in my head, reminding me to keep conversing with my daughter. "Serve and return". Or Dorothy discussing how many millions of words children should hear before starting school. I guess I can thank them both for my very chatty (loud) girl! I joke, but it has been really helpful to experience these things instead of simply reading about them.</div><div><br /></div><div>Now I have a new surge of energy to bring to the classroom and a new perspective too. I've been relieving and working in new spaces which has given me more insight and eased me back into school life. Throughout term two I spent a lot of time thinking about what I will implement in my own classroom and the changes I will make. </div><div><br /></div><div>I can't wait to get started!</div><div><br /></div><br /><div><br /></div>Danni Stonehttp://www.blogger.com/profile/06470833379829179523noreply@blogger.com0tag:blogger.com,1999:blog-6627087616094510609.post-27112899765401454002021-08-06T11:58:00.001+12:002021-08-06T11:58:00.191+12:00Ka Kite Ano!<p>Today is my official last day at Pt England for 2021 before I go off on my next adventure: motherhood. It's going to be quite a change and funny for me to be away from this place as I still have such passion and love for teaching, my classes and my colleagues. </p><p>I will of course be keeping in touch as I will be returning in 2022. I'm eager to see how my target students perform in their end of year tests, but also to see my students graduate and prepare for college. I'm also excited to visit with baby so that she can hear the singing that she has kicked along to every morning in assembly.</p><p>This blog may be a little quiet for a while, but I will be back with regular posts in 2022. Until then, ka kite ano!</p>Danni Stonehttp://www.blogger.com/profile/06470833379829179523noreply@blogger.com1tag:blogger.com,1999:blog-6627087616094510609.post-46168126097258623572021-08-04T10:03:00.001+12:002021-08-05T11:54:07.022+12:00Getting Gains; What my readers think caused their success<p> Today I interviewed my target learners to get their thoughts about why they made such great improvements in reading. I also followed the same interview structure as I used before the intervention to see if their overall attitudes or thoughts about reading had changed. Due to some transience, my original target group have changed, so I am not comparing all of the same group which is a shame. However, I had enough of a group to identify some trends.</p><p><b>Attitude to reading has improved!</b></p><p>In the first round of surveys, 3/4 of the students reported that they didn't enjoy reading. In this round, the worst response was 'its okay', with three pointing out things that they liked about reading. Two students said that reading is a calming activity. I also noticed a slight increase in students reading for fun at home. Interestingly this is because more of them have discovered manga and comic books.</p><p><b>Reading Independently</b></p><p>Several of the students discussed our independent time as helping them learn. They expressed that they would rarely finish a book if they weren't given independent/ silent reading time in class. Two mentioned that they would even get distracted if they read with the teacher first and would often not finish the book before/after the guided reading lesson. The vast majority also mentioned the fact that they were reading so much more often in class - because of our novel study or the number of books we covered each week.</p><p>This aligns with my focus on mileage - I felt that these students needed a lot more eyes on text to catch up.</p><p><b>Challenging Texts</b></p><p>Alongside the fact that our mileage had increased, many students discussed the fact that they were also reading more challenging texts, like our novel or articles in class. They liked the idea of reading at their level and got a boost from this. </p><p>I actually think this has been a large factor in increasing the students attitude towards reading - one of my most challenging students shared that he was "super good at reading" because he could read tricky books and actually understand what they were about.</p><p><b>Metacognition</b></p><p>The answers I got overall from the students were far more detailed than they had been at the start of the year! When I asked what they found challenging, two mentioned inferencing/reading behind the lines and one mentioned the overall message behind the story. They also discussed some of the strategies that they had learned which had helped them throughout the year and four discussed having an understanding of the level that they are at/ what their next steps would be. This tells me that they have actually made sense of the conversations we had in class regarding metacognition and can think about their own understanding in reading.</p><p><b>Vocabulary!</b></p><p>This was something that was mentioned by the vast majority of students as something that they were getting better at/ still needed to work on. I am not surprised by this as I also see this as an area of need for my students and something I only gave enough attention to at the end of my intervention. This will be a starting point for me next year for sure, as it would be a continued focus of my intervention if I was not going on maternity leave.</p><p><br /></p>Danni Stonehttp://www.blogger.com/profile/06470833379829179523noreply@blogger.com0tag:blogger.com,1999:blog-6627087616094510609.post-33569579679688586372021-07-10T11:48:00.001+12:002021-07-29T14:03:47.698+12:00Reaping the Rewards: Midyear Testing!<p> After making changes to my intervention over the course of the term, I was really excited to look at the progress that my literacy class had made and even more so to share the results with my learners. However, this has also been a bittersweet time for me as this is the end of my intervention - I am off on maternity leave next term. I can't help but wonder where we would have landed had I stayed the year.</p><p><br /></p><p> <img height="248" 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" width="400" /></p><p>At the beginning of the year, I identified a group of learners who had a reading age between 9 and 10 years. These students had even been stuck at one level for a while or had made minimal progress in the last couple of years. I also had a large group of students reading just below their biological age. </p><p> <img height="248" 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" width="400" /></p><p>At the end of term 2, every single child in my class has made at least six months progress. Woohoo! Interestingly, it was my boys who made the most progress. With many of them making over a year. This mirrors my 2018 inquiry, where my integrated approach to reading/writing and use of reciprocal reading proved really beneficial to my male students in particular. </p><p>While two of my 9 year old readers only made six months progress, I have to remind myself that this is a big accomplishment for them as it's the first time they had moved in over a year. The other students in my target group made a years worth of progress, which I was overjoyed to see!</p><p><b>What worked?</b></p><p>I think overall it was the mileage the kids were getting that ensured they made progress. They read at least one journal story/article/chapter every single lesson and had to summarise or retell what they read. The fact that all students completed a novel study and learnt to follow a more complicated plot also helped in this area. Obviously to get better at reading to have to read!</p><p>The direct instruction strategies that I used were also helpful as I noted before, they worked well with my inquiry group in 2018, so it is no surprise I saw similar results. The children enjoyed discussing their own ideas through reciprocal reading which places a greater emphasis on the learners voice than the teachers. Getting them to be metacognitive and reflect on their understanding of a text has also proven really helpful in ensuring they focus on comprehension over decoding.</p><p>The vocabulary work that I have been doing, particularly focussing on grammar as suggested by Jannie Van Hees has also paid off. The students were far more successful with the vocabulary in the text when I tested them this time compared to their tests in term one. However, increasing their vocabulary is still really important in the long run and I could have done far more with this in class in the beginning, as I picked it up towards the end of the intervention.</p><p><b>Where to next?</b></p><p>I will go back to collect student voice from my learners to hear what they thought helped them in reading and for feedforward to my return to teaching next year! </p>Danni Stonehttp://www.blogger.com/profile/06470833379829179523noreply@blogger.com0