利用学生的认知、情感和人口特征预测他们对计算思维概念的理解：一种基于机器学习的方法

IF 3.7 3区教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH

Interactive Learning Environments Pub Date : 2024-03-19 DOI:10.1080/10494820.2024.2331148

Siu-Cheung Kong, Wei Shen

引用次数: 0

摘要

逻辑回归模型历来被用于确定学生概念理解的促成因素。随着基于机器学习的研究方法的发展...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Using students’ cognitive, affective, and demographic characteristics to predict their understanding of computational thinking concepts: a machine learning-based approach

Logistic regression models have traditionally been used to identify the factors contributing to students’ conceptual understanding. With the advancement of the machine learning-based research appro...

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来源期刊

Interactive Learning Environments EDUCATION & EDUCATIONAL RESEARCH-

CiteScore

12.10

自引率

11.10%

发文量

249

期刊介绍： Founded in 1990, Interactive Learning Environments publishes peer-reviewed articles on all aspects of the design and use of interactive learning environments in the broadest sense, encompassing environments that support individual learners through to environments that support collaboration amongst groups of learners or co-workers. Relevant domains of application include education and training at all levels, life-long learning and knowledge sharing. Relevant topics for articles include: adaptive systems, learning theory, pedagogy and learning design, the electronically-enhanced classroom, computer mediated communications of all kinds, computer aided assessment, the design and use of virtual learning environments and learning management systems.