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How Preservice Teachers Interpret and Respond to Student Errors: Ratio and Proportion in Similar Rectangles

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Son, Ji-Won – Educational Studies in Mathematics, 2013

Interpreting and responding to student thinking are central tasks of reform-minded mathematics teaching. This study examined preservice teachers' (PSTs) interpretations of and responses to a student's error(s) involving finding a missing length in similar rectangles through a teaching scenario task. Fifty-seven PSTs' responses were…

Descriptors: Mathematics Instruction, Preservice Teachers, Student Teacher Attitudes, Error Patterns

Innovative Teaching and Learning Methods in Educational Systems: Proceedings of the International Conference on Teacher Education and Professional Development (INCOTEPD 2018), October 28, 2018, Yogyakarta, Indonesia

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Retnowati, Endah, Ed.; Suprapto, Ed.; Jerusalem, Mohammad Adam, Ed.; Sugiyarto, Kristian, Ed.; Wagiran, Ed. – Routledge, Taylor & Francis Group, 2018

This proceedings volume of InCoTEPD 2018 covers many ideas for handling a wide variety of challenging issues in the field of education. The outstanding ideas dealing with these issues result in innovation of the system. There are many innovation strategies resulting from recent research that are discussed in this book. These strategies will become…

Descriptors: Educational Innovation, Knowledge Level, Skill Development, Vocational Education

Proceedings of the International Conference on Educational Data Mining (EDM) (12th, Montreal, Canada, July 2-5, 2019)

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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