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摘要
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Modern Approach to Educational Data Mining and Its Applications, delves into enhancing learning efficiency through personalized course materials and adaptive learning paths tailored to individual learner characteristics such as learning style, knowledge level, emotion, motivation, and self-efficacy. The book emphasizes the evolution of education from traditional methods to computer-assisted learning, highlighting the role of Educational Data Mining (EDM) in developing adaptive e-learning systems. By analyzing hidden data patterns, EDM aims to improve learners’ experiences by providing personalized content and guidance, thereby enhancing performance in terms of knowledge, skills, and aptitudes. The author discusses various frameworks designed to assess learners’ preferences and deliver adaptive learning materials accordingly. |
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