LEARNING ABOUT STUDENT'S STRATEGIES BASED ON AUTOMATED ANALYSIS: THE CASE OF FRACTIONS

Amal Kadan-Tabaja; Michal Yerushalmy

LEARNING ABOUT STUDENT'S STRATEGIES BASED ON AUTOMATED ANALYSIS: THE CASE OF FRACTIONS

Department of Mathematics Education

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We argue that learners’ generated examples can do more than answer mathematical task requirements. Studies show that examples may also reflect students’ strategical thinking, which is fundamentally related to how students solve problems. Our argument is relevant to the use of automated assessment platforms. A central challenge of such platforms is to provide automated data that enables learning about students’ strategies based on their examples. We report here on a study that examined data analysis of submitted examples of a 7th-grade student engaged in two activities comprising six example-eliciting tasks in the context of fractions. Characterization of the examples’ properties, provided by automated assessment of the student's submissions, enabled us to learn about his strategies to answer the tasks, such as the expanding strategy.

Original language	English
Title of host publication	Proceedings of the 46th Conference of the International Group for the Psychology of Mathematics Education, 2023
Editors	Michal Ayalon, Boris Koichu, Roza Leikin, Laurie Rubel, Michal Tabach
Publisher	Psychology of Mathematics Education (PME)
Pages	123-130
Number of pages	8
ISBN (Print)	9789659311231
State	Published - 2023
Event	46th Annual Conference of the International Group for the Psychology of Mathematics Education, PME 2023 - Haifa, Israel Duration: 16 Jul 2022 → 21 Jul 2022

Publication series

Name	Proceedings of the International Group for the Psychology of Mathematics Education
Volume	3
ISSN (Print)	0771-100X
ISSN (Electronic)	2790-3648

Conference

Conference	46th Annual Conference of the International Group for the Psychology of Mathematics Education, PME 2023
Country/Territory	Israel
City	Haifa
Period	16/07/22 → 21/07/22

Bibliographical note

Publisher Copyright:
© 2023, Psychology of Mathematics Education (PME). All rights reserved.

ASJC Scopus subject areas

Mathematics (miscellaneous)
Developmental and Educational Psychology
Experimental and Cognitive Psychology
Education

Cite this

Kadan-Tabaja, A., & Yerushalmy, M. (2023). LEARNING ABOUT STUDENT'S STRATEGIES BASED ON AUTOMATED ANALYSIS: THE CASE OF FRACTIONS. In M. Ayalon, B. Koichu, R. Leikin, L. Rubel, & M. Tabach (Eds.), Proceedings of the 46th Conference of the International Group for the Psychology of Mathematics Education, 2023 (pp. 123-130). (Proceedings of the International Group for the Psychology of Mathematics Education; Vol. 3). Psychology of Mathematics Education (PME).

Kadan-Tabaja, Amal ; Yerushalmy, Michal. / LEARNING ABOUT STUDENT'S STRATEGIES BASED ON AUTOMATED ANALYSIS : THE CASE OF FRACTIONS. Proceedings of the 46th Conference of the International Group for the Psychology of Mathematics Education, 2023. editor / Michal Ayalon ; Boris Koichu ; Roza Leikin ; Laurie Rubel ; Michal Tabach. Psychology of Mathematics Education (PME), 2023. pp. 123-130 (Proceedings of the International Group for the Psychology of Mathematics Education).

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abstract = "We argue that learners{\textquoteright} generated examples can do more than answer mathematical task requirements. Studies show that examples may also reflect students{\textquoteright} strategical thinking, which is fundamentally related to how students solve problems. Our argument is relevant to the use of automated assessment platforms. A central challenge of such platforms is to provide automated data that enables learning about students{\textquoteright} strategies based on their examples. We report here on a study that examined data analysis of submitted examples of a 7th-grade student engaged in two activities comprising six example-eliciting tasks in the context of fractions. Characterization of the examples{\textquoteright} properties, provided by automated assessment of the student's submissions, enabled us to learn about his strategies to answer the tasks, such as the expanding strategy.",

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Kadan-Tabaja, A & Yerushalmy, M 2023, LEARNING ABOUT STUDENT'S STRATEGIES BASED ON AUTOMATED ANALYSIS: THE CASE OF FRACTIONS. in M Ayalon, B Koichu, R Leikin, L Rubel & M Tabach (eds), Proceedings of the 46th Conference of the International Group for the Psychology of Mathematics Education, 2023. Proceedings of the International Group for the Psychology of Mathematics Education, vol. 3, Psychology of Mathematics Education (PME), pp. 123-130, 46th Annual Conference of the International Group for the Psychology of Mathematics Education, PME 2023, Haifa, Israel, 16/07/22.

LEARNING ABOUT STUDENT'S STRATEGIES BASED ON AUTOMATED ANALYSIS: THE CASE OF FRACTIONS. / Kadan-Tabaja, Amal ; Yerushalmy, Michal.
Proceedings of the 46th Conference of the International Group for the Psychology of Mathematics Education, 2023. ed. / Michal Ayalon; Boris Koichu; Roza Leikin; Laurie Rubel; Michal Tabach. Psychology of Mathematics Education (PME), 2023. p. 123-130 (Proceedings of the International Group for the Psychology of Mathematics Education; Vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Kadan-Tabaja A , Yerushalmy M. LEARNING ABOUT STUDENT'S STRATEGIES BASED ON AUTOMATED ANALYSIS: THE CASE OF FRACTIONS. In Ayalon M, Koichu B, Leikin R, Rubel L, Tabach M, editors, Proceedings of the 46th Conference of the International Group for the Psychology of Mathematics Education, 2023. Psychology of Mathematics Education (PME). 2023. p. 123-130. (Proceedings of the International Group for the Psychology of Mathematics Education).

LEARNING ABOUT STUDENT'S STRATEGIES BASED ON AUTOMATED ANALYSIS: THE CASE OF FRACTIONS

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

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