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1. Supporting Teachers Supporting Students: Iterative Development of TIPS in a Teacher Dashboard

   Adair, A. ( January 2020 , International Conference of the Learning Sciences)

   When implementing the Next Generation Science Standards, it is challenging for teachers to support students on inquiry practices; technological tools are a good solution to help inform teachers’ pedagogical practices. In this study, we developed actionable, evidence-based Teacher Inquiry Practice Supports (TIPS) that are presented as fine-grained real-time alerts within the teacher dashboard Inq-Blotter. These TIPS aid teachers in providing detailed support to students in order to scaffold students’ specific inquiry difficulties on the practices. 

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2. Supporting Upper Elementary Students’ Engineering Practices in an Integrated Science and Engineering Unit.

   https://doi.org/10.18260/1-2--35258  

   Lilly, S. ; McAlister, A. ; Fick, S. ; Chiu, J. L. ; McElhaney, K. ( June 2020 , Paper presented at 2020 ASEE Virtual Annual Conference Content Access, Virtual On line.)

   To support teachers in providing all students with opportunities to engage in engineering learning activities, research must examine the ways that elementary teachers support how diverse learners engage with engineering ideas and practices. This study focuses on two teachers' verbal supports in classroom discussions across two class sections of a four-week, NGSS-aligned unit that challenged students to redesign their school to reduce water runoff. We examine the research question: How and to what extent do upper-elementary teachers verbally support students' engagement with engineering practices across diverse classroom contexts in an NGSS-aligned integrated science unit? Classroom audio data was collected daily and coded to analyze support through different purposes of teacher talk. Results reveal the purpose of teachers’ talk often varied between the class sections depending on the instructional activity and indicate that teachers utilized a variety of supports toward students' engagement in different engineering practices. In one class, with a large percentage of students with individualized educational plans, teachers provided more epistemic talk about the engineering practices to contextualize the particular activities. For the other class, with a large percentage of students in advanced mathematics, teachers provided more opportunities for students to engage in discussion and support for students to do engineering. This difference in supports may decrease the opportunities for some students to rigorously engage in engineering ideas and practices. This study can inform future research on the kinds of educative supports needed to guide teaching of integrated engineering activities for diverse students. 

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3. A spatiotemporal analysis of teacher practices in supporting student learning and engagement in an AI-enabled classroom

   Karumbaiah, S. ; Borchers, C. ; Falhs, A. C. ; Holstein, K. ; Rummel, N. ; Aleven, V. ( July 2023 , Springer)

   Wang, N. ; Rebolledo-Mendez, G. ; Matsuda, N. ; Santos, O.C. ; Dimitrova, V. (Ed.)

   Research indicates that teachers play an active and important role in classrooms with AI tutors. Yet, our scientific understanding of the way teacher practices around AI tutors mediate student learning is far from complete. In this paper, we investigate spatiotemporal factors of student-teacher interactions by analyzing student engagement and learning with an AI tutor ahead of teacher visits (defined as episodes of a teacher being in close physical proximity to a student) and immediately following teacher visits. To conduct such integrated, temporal analysis around the moments when teachers visit students, we collect fine-grained, time-synchronized data on teacher positions in the physical classroom and student interactions with the AI tutor. Our case study in a K12 math classroom with a veteran math teacher provides some indications on factors that might affect a teacher’s decision to allocate their limited classroom time to their students and what effects these interactions have on students. For instance, teacher visits were associated more with students’ in-the-moment behavioral indicators (e.g., idleness) than a broader, static measure of student needs such as low prior knowledge. While teacher visits were often associated with positive changes in student behavior afterward (e.g., decreased idleness), there could be a potential mismatch between students visited by the teacher and who may have needed it more at that time (e.g., students who were disengaged for much longer). Overall, our findings indicate that teacher visits may yield immediate benefits for students but also that it is challenging for teachers to meet all needs - suggesting the need for better tool support. 

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4. The Classroom‐Research‐Mentoring Framework: A lens for understanding science practice‐based instruction

   https://doi.org/10.1002/sce.21835  

   Cooper, Alexandra C. ; Bolger, Molly S. ( January 2023 , Science Education)

   Abstract Reformed science curricula provide opportunities for students to engage with authentic science practices. However, teacher implementation of such curricula requires teachers to consider their role in the classroom, including realigning instructional decisions with the epistemic aims of science. Guiding newcomers in science can take place in settings ranging from the classroom to the undergraduate research laboratory. We suggest thinking about the potential intersections of guiding students across these contexts is important. We describe the Classroom‐Research‐Mentoring (CRM) Framework as a novel lens for examining science practice‐based instruction. We present a comparative case study of two teachers as they instruct undergraduate students in a model‐based inquiry laboratory. We analyzed stimulated‐recall episodes uncovering how these teachers interacted with their students and the rationale behind their instructional choices. Through the application of the CRM Framework, we revealed ways teachers can have instructional goals that align with those of a research mentor. For example, our teachers had the goals of “creating an inclusive environment open to student ideas,” “acknowledging students as scientists,” and “focusing students on skills and ideas needed to solve biological problems.” We suggest three functions of research mentoring that translate across the classroom and research laboratory settings: (1) build a shared understanding of epistemic aims, (2) support learners in the productive use of science practices, and (3) motivate learner engagement in science practices. 

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5. A human‐centred learning analytics approach for developing contextually scalable K‐12 teacher dashboards

   https://doi.org/10.1111/bjet.13383  

   Wiley, Korah ; Dimitriadis, Yannis ; Linn, Marcia ( September 2023 , British Journal of Educational Technology)

   This paper describes a Human‐Centred Learning Analytics (HCLA) design approach for developing learning analytics (LA) dashboards for K‐12 classrooms that maintain both contextual relevance and scalability—two goals that are often in competition. Using mixed methods, we collected observational and interview data from teacher partners and assessment data from their students' engagement with the lesson materials. This DBR‐based, human‐centred design process resulted in a dashboard that supported teachers in addressing their students' learning needs. To develop the dashboard features that could support teachers, we found that a design refinement process that drew on the insights of teachers with varying teaching experience, philosophies and teaching contexts strengthened the resulting outcome. The versatile nature of the approach, in terms of student learning outcomes, makes it useful for HCLA design efforts across diverse K‐12 educational contexts.

   What is already known about this topic

   Learning analytics that are aligned to both a learning theory and learning design support student learning.

   LA dashboards that support users to understand the associated learning analytics data provide actionable insight.

   Design‐based research is a promising methodology for Human‐Centred Learning Analytics design, particularly in the K‐12 educational context.

   What this paper adds

   Leveraging a longstanding, yet fluid, research‐practice partnership is an effective design‐based research adaptation for addressing the high variation in instructional practices that characterize K‐12 education.

   Using both quantitative and qualitative data that reflects students' developing knowledge effectively supports teachers' inquiry into student learning.

   Teachers' use of learning analytics dashboards is heavily influenced by their perspectives on teaching and learning.

   Implications for practice and/or policy

   Impact on student learning outcomes, alongside usability and feasibility, should be included as a necessary metric for the effectiveness of LA design.

   LA dashboard developers should both leverage learning data that reflect students' developing knowledge and position teachers to take responsive pedagogical action to support student learning.

   LA researchers and developers should utilize a long‐term, yet fluid, research‐practice partnership to form a multi‐stakeholder, multidisciplinary design team for Human‐Centred Learning Analytics design.

    

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