Derivation of Learning Style Effectiveness from Portfolio in Programming Education

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概要

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• Students would take many learning styles in programming learning. Good learning styles vary depending on items to be learned and student understanding. Educators should lead students to follow a good learning style. For each learning item, we evaluate the effectiveness of every learning style from portfolio of many students who have achieved good/bad results, and have improved their ability well/poorly. Through the evaluation, we try to identify a linear function, which can differentiate students who take effective learning style from others. The weights in the linear function express the effectiveness of the learning styles for a specific learning item in one programming course. They will let us know the best balance of mixing several learning styles in each week.

• 2012-07-21

著者

• Harada Fumiko

  College Of Information Science And Engineering Ritsumeikan University

• Shimakawa Hiromitsu

  College of Information Science and Engineering, Ritsumeikan Uni.

• Phuong Dinh

  Graduate School of Science and Engineering, Ritsumeikan Uni.

• Harada Fumiko

  College of Information Science and Engineering, Ritsumeikan Uni.

関連論文

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• Adaptive Fair Sharing Control in Real-Time Systems Using Nonlinear Elastic Task Models(Nonlinear Problems)
• Directing All Learners to Course Goal with Enforcement of Discipline Utilizing Persona Motivation
• Derivation of Learning Style Effectiveness from Portfolio in Programming Education
• Presuming Learner Personas from Portfolios with Non-negative Matrix Factorization
• Non-negative Matrix Factorization to Identify Motivation and Learning Strategies from Portfolio

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