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Yilmaz Soysal – Science & Education, 2024
This multiple case study describes error-reaction patterns (ERPs) in middle school science lessons. Twenty-seven science teachers' reactions to student errors were explored in terms of four aspects of classroom discourse: talk move, discursive purpose, communicative approach, and patterns of interaction. Two hundred ninety-six error-reaction…
Descriptors: Middle School Teachers, Science Teachers, Science Instruction, Teaching Methods
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Zhu, Yuanze; Tang, Aibin – International Journal of Science Education, 2023
Understanding the nature of science (NOS) is an important goal of science education, and textbooks are a key factor in shaping students' conceptions of NOS. In this study, we analysed NOS represented in middle school chemistry textbooks in the Chinese mainland. The selected materials were three most commonly adopted textbook series, which were…
Descriptors: Chemistry, Science Instruction, Scientific Principles, Textbooks
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Safadi, Rafi' – International Journal of Science Education, 2022
Troubleshooting activities require students to diagnose teacher-crafted erroneous examples by detecting and explaining the conceptual errors driving them. In a previous study, the author tested whether diagnosing erroneous examples and then scoring them using a rubric that contained the related worked examples, a step-by-step strategy to solve a…
Descriptors: Error Patterns, Scientific Concepts, Physics, Science Instruction
Neidorf, Teresa; Arora, Alka; Erberber, Ebru; Tsokodayi, Yemurai; Mai, Thanh – International Association for the Evaluation of Educational Achievement, 2020
The International Association for the Evaluation of Educational Achievement (IEA) Research for Education series represents a further effort by IEA to capitalize on it's unique datasets, so as to provide powerful information for policymakers and researchers. Each report focuses on a specific topic and is produced by a dedicated team of leading…
Descriptors: Misconceptions, Mathematical Concepts, Scientific Concepts, Mathematics Instruction
Cebesoy, Umran Betul; Yeniterzi, Betul – Online Submission, 2016
Integration of science and mathematics as well as with other disciplines is overarching goal of science education. In spite of its importance, teachers have concerns about mathematical difficulties that their students encounter during their teaching. One of the most common subjects that students have mathematical difficulties was reported as…
Descriptors: Physics, Science Instruction, Mathematics Instruction, Scientific Concepts
Hershkovitz, Arnon; Baker, Ryan S. J. d.; Gobert, Janice; Wixon, Michael; Sao Pedro, Michael – Grantee Submission, 2013
In recent years, an increasing number of analyses in Learning Analytics and Educational Data Mining (EDM) have adopted a "Discovery with Models" approach, where an existing model is used as a key component in a new EDM/analytics analysis. This article presents a theoretical discussion on the emergence of discovery with models, its…
Descriptors: Learning Analytics, Models, Learning Processes, Case Studies
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection