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David DeLiema; Jeffrey K. Bye; Vijay Marupudi – ACM Transactions on Computing Education, 2024
Learning to respond to a computer program that is not working as intended is often characterized as finding a singular bug causing a singular problem. This framing underemphasizes the wide range of ways that students and teachers could notice discrepancies from their intention, propose causes of those discrepancies, and implement interventions.…
Descriptors: Computer Software, Troubleshooting, Intention, Intervention
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Broley, Laura; Buteau, Chantal; Sardella, Jessica – Journal of Pedagogical Research, 2023
The importance of computational thinking skills in mathematics has been recognized in educational research for a long time. More recently, this recognition has materialized in formal international recommendations (e.g., by PISA's 2022 Mathematics Framework) and in national or provincial curricular reforms (e.g., in France, Sweden, and Canada) that…
Descriptors: Foreign Countries, Mathematics Teachers, Preservice Teachers, Teacher Education
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Bolognese, Chris A. – Teaching Children Mathematics, 2016
Eliciting student thinking is paramount to effective mathematics teaching and learning. Although one can use many strategies and techniques to promote student thinking, technology is one resource that is often underutilized. Whether it is the informed use of calculators or an interactive website, technology can be leveraged to promote mathematical…
Descriptors: Mathematics Instruction, Geometry, Mathematical Logic, Educational Technology
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Reinholz, Daniel L.; Shah, Niral – Journal for Research in Mathematics Education, 2018
Equity in mathematics classroom discourse is a pressing concern, but analyzing issues of equity using observational tools remains a challenge. In this article, we propose equity analytics as a quantitative approach to analyzing aspects of equity and inequity in classrooms. We introduce a classroom observation tool that focuses on relatively…
Descriptors: Teaching Methods, Mathematics Instruction, Equal Education, Statistical Analysis
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Peugh, James L. – Journal of Early Adolescence, 2014
Applied early adolescent researchers often sample students (Level 1) from within classrooms (Level 2) that are nested within schools (Level 3), resulting in data that requires multilevel modeling analysis to avoid Type 1 errors. Although several articles have been published to assist researchers with analyzing sample data nested at two levels, few…
Descriptors: Early Adolescents, Research, Hierarchical Linear Modeling, Data Analysis
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Lineback, Jennifer Evarts – Journal of the Learning Sciences, 2015
Responsive teaching occurs when teachers take up and "respond" to their students' ideas during instruction (J. L. Pierson, 2008). Although responsive teaching is gaining recognition as an effective strategy for encouraging student learning, few methods of analysis are capable of characterizing the different ways in which teachers take up…
Descriptors: Thinking Skills, Discourse Analysis, Discussion (Teaching Technique), Discourse Modes
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Hance, Trevor – Science and Children, 2014
Designing opportunities for students to discover core science concepts can be challenging, however, with a good understanding of their interests, proper planning, and the use of technology and the outdoors, students can become engaged in a way that can leave a legacy for future students. Last fall, this author designed a nine-session unit for a…
Descriptors: Science Instruction, Scientific Concepts, Teaching Methods, Grade 4