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| DOI | 10.1109/TLT.2024.3358864 |
| Learning Style Identification Using Semisupervised Self-Taught Labeling | |
| 发表日期 | 2024 |
| ISSN | 1939-1382 |
| 起始页码 | 17 |
| 卷号 | 17 |
| 英文摘要 | Education is a dynamic field that must be adaptable to sudden changes and disruptions caused by events like pandemics, war, and natural disasters related to climate change. When these events occur, traditional classrooms with traditional or blended delivery can shift to fully online learning, which requires an efficient learning environment that meets students' needs. While learning management systems support teachers' productivity and creativity, they typically provide the same content to all learners in a course, ignoring their unique learning styles. To address this issue, we propose a semisupervised machine learning approach that detects students' learning styles using a data mining technique. We use the commonly used Felder-Silverman learning style model and demonstrate that our semisupervised method can produce reliable classification models with few labeled data. We evaluate our approach on two different courses and achieve an accuracy of 88.83% and 77.35%, respectively. Our work shows that educational data mining and semisupervised machine learning techniques can identify different learning styles and create a personalized learning environment. |
| 英文关键词 | Learning systems; Semisupervised learning; Education; Climate change; Machine learning; Pandemics; Learning management systems; Productivity; Learning management system (LMS); learning style model; personalized learning; self-taught-labeling; semisupervised classification |
| 语种 | 英语 |
| WOS研究方向 | Computer Science ; Education & Educational Research |
| WOS类目 | Computer Science, Interdisciplinary Applications ; Education & Educational Research |
| WOS记录号 | WOS:001174297900001 |
| 来源期刊 | IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES
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| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/287320 |
| 作者单位 | University of Jordan |
| 推荐引用方式 GB/T 7714 | . Learning Style Identification Using Semisupervised Self-Taught Labeling[J],2024,17. |
| APA | (2024).Learning Style Identification Using Semisupervised Self-Taught Labeling.IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES,17. |
| MLA | "Learning Style Identification Using Semisupervised Self-Taught Labeling".IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES 17(2024). |
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