A Theoretical Framework for a Mathematical Cognitive Model for Adaptive Learning Systems
The emergence of artificial intelligence has made adaptive learning possible, but building an adaptive system requires a comprehensive understanding of students’ cognition. The cognitive model provides a crucial theoretical framework to explore students’ cognitive attributes, making it vital for lea...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-05-01
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| Series: | Behavioral Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-328X/13/5/406 |
| _version_ | 1797600980757381120 |
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| author | Siyu Sun Xiaopeng Wu Tianshu Xu |
| author_facet | Siyu Sun Xiaopeng Wu Tianshu Xu |
| author_sort | Siyu Sun |
| collection | DOAJ |
| description | The emergence of artificial intelligence has made adaptive learning possible, but building an adaptive system requires a comprehensive understanding of students’ cognition. The cognitive model provides a crucial theoretical framework to explore students’ cognitive attributes, making it vital for learning assessment and adaptive learning. This study investigates 52 experts, including primary and secondary school teachers, mathematics education experts, and graduate students, based on the 16 cognitive attributes in the TIMSS 2015 assessment framework. Through an analysis of their attribute questionnaires, the Interpretive structural modeling (ISM) method is used to construct a five-level mathematical cognitive model. The model is then revised through oral reports and expert interviews, resulting in a final cognitive model ranging from “memorize” to “justify”. The cognitive model describes the relationship between different attributes in detail, enabling the development of adaptive systems and aiding in the diagnosis of students’ cognitive development and learning paths in mathematics. |
| first_indexed | 2024-03-11T03:56:29Z |
| format | Article |
| id | doaj.art-32f658f50e7a4ec2ba21b1c40c0fc635 |
| institution | Directory Open Access Journal |
| issn | 2076-328X |
| language | English |
| last_indexed | 2024-03-11T03:56:29Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Behavioral Sciences |
| spelling | doaj.art-32f658f50e7a4ec2ba21b1c40c0fc6352023-11-18T00:29:50ZengMDPI AGBehavioral Sciences2076-328X2023-05-0113540610.3390/bs13050406A Theoretical Framework for a Mathematical Cognitive Model for Adaptive Learning SystemsSiyu Sun0Xiaopeng Wu1Tianshu Xu2College of Elementary Education, Capital Normal University, Beijing 100048, ChinaFaculty of Education, Northeast Normal University, Changchun 130024, ChinaCollege of Teacher Education, East China Normal University, Shanghai 200062, ChinaThe emergence of artificial intelligence has made adaptive learning possible, but building an adaptive system requires a comprehensive understanding of students’ cognition. The cognitive model provides a crucial theoretical framework to explore students’ cognitive attributes, making it vital for learning assessment and adaptive learning. This study investigates 52 experts, including primary and secondary school teachers, mathematics education experts, and graduate students, based on the 16 cognitive attributes in the TIMSS 2015 assessment framework. Through an analysis of their attribute questionnaires, the Interpretive structural modeling (ISM) method is used to construct a five-level mathematical cognitive model. The model is then revised through oral reports and expert interviews, resulting in a final cognitive model ranging from “memorize” to “justify”. The cognitive model describes the relationship between different attributes in detail, enabling the development of adaptive systems and aiding in the diagnosis of students’ cognitive development and learning paths in mathematics.https://www.mdpi.com/2076-328X/13/5/406cognitive modelmathematical learningadaptive learning systeminterpretive structural modeling |
| spellingShingle | Siyu Sun Xiaopeng Wu Tianshu Xu A Theoretical Framework for a Mathematical Cognitive Model for Adaptive Learning Systems Behavioral Sciences cognitive model mathematical learning adaptive learning system interpretive structural modeling |
| title | A Theoretical Framework for a Mathematical Cognitive Model for Adaptive Learning Systems |
| title_full | A Theoretical Framework for a Mathematical Cognitive Model for Adaptive Learning Systems |
| title_fullStr | A Theoretical Framework for a Mathematical Cognitive Model for Adaptive Learning Systems |
| title_full_unstemmed | A Theoretical Framework for a Mathematical Cognitive Model for Adaptive Learning Systems |
| title_short | A Theoretical Framework for a Mathematical Cognitive Model for Adaptive Learning Systems |
| title_sort | theoretical framework for a mathematical cognitive model for adaptive learning systems |
| topic | cognitive model mathematical learning adaptive learning system interpretive structural modeling |
| url | https://www.mdpi.com/2076-328X/13/5/406 |
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