کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
385025 | 660858 | 2009 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data](/preview/png/385025.png)
چکیده انگلیسی
This work describes the application of subgroup discovery using evolutionary algorithms to the usage data of the Moodle course management system, a case study of the University of Cordoba, Spain. The objective is to obtain rules which describe relationships between the student’s usage of the different activities and modules provided by this e-learning system and the final marks obtained in the courses. We use an evolutionary algorithm for the induction of fuzzy rules in canonical form and disjunctive normal form. The results obtained by different algorithms for subgroup discovery are compared, showing the suitability of the evolutionary subgroup discovery to this problem.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 36, Issue 2, Part 1, March 2009, Pages 1632–1644
Journal: Expert Systems with Applications - Volume 36, Issue 2, Part 1, March 2009, Pages 1632–1644
نویسندگان
C. Romero, P. González, S. Ventura, M.J. del Jesus, F. Herrera,