Personalized curriculum composition by learner profile driven data mining

Author:

Knauf Rainer,Sakurai Yoshitaka,Tsuruta Setsuo,Takada Kouhei,Dohi Shinichi

Publisher

IEEE

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Preparing Teachers and Students for the Challenges of Society 5.0;Advances in Educational Technologies and Instructional Design;2024-06-28

2. Educational Data Mining: A Systematic Review on the Applications of Classical Methods and Deep Learning Until 2022;2023 IEEE Symposium on Industrial Electronics & Applications (ISIEA);2023-07-15

3. Development of an Algorithm for Intelligent Analysis of Behavioral Classifiers for Personalizing Training;Lecture Notes in Electrical Engineering;2021

4. Curriculum Optimization by Correlation Analysis and Its Validation;Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data;2013

5. An Intelligent System for Modeling and Supporting Academic Educational Processes;Intelligent and Adaptive Educational-Learning Systems;2013

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