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Understanding the Progression of Educational Topics via Semantic Matching
March 12, 2024, 4:42 a.m. | Tamador AlkhidirCurriculum Department, Ministry of Education, United Arab Emirates, Edmond AwadDepartment of Economics and Institute for Data Science
cs.LG updates on arXiv.org arxiv.org
Abstract: Education systems are dynamically changing to accommodate technological advances, industrial and societal needs, and to enhance students' learning journeys. Curriculum specialists and educators constantly revise taught subjects across educational grades to identify gaps, introduce new learning topics, and enhance the learning outcomes. This process is usually done within the same subjects (e.g. math) or across related subjects (e.g. math and physics) considering the same and different educational levels, leading to massive multi-layer comparisons. Having nuanced …
abstract advances arxiv cs.cl cs.cy cs.lg curriculum education educational grades identify industrial process semantic students systems topics type understanding via
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