کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
349950 | 618249 | 2007 | 19 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Diagnostic, predictive and compositional modeling with data mining in integrated learning environments
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کلمات کلیدی
موضوعات مرتبط
علوم انسانی و اجتماعی
علوم اجتماعی
آموزش
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
Models represent a set of generic patterns to test hypotheses. This paper presents the CogMoLab student model in the context of an integrated learning environment. Three aspects are discussed: diagnostic and predictive modeling with respect to the issues of credit assignment and scalability and compositional modeling of the student profile in the context of an intelligent tutoring system/adaptive hypermedia learning system architectural pattern. The SOM–PCA, a collaborative-based data mining approach, is shown to be reusable for all three purposes above, enabling fast, objective implementations without requiring much intensive data collection.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Education - Volume 49, Issue 3, November 2007, Pages 562–580
Journal: Computers & Education - Volume 49, Issue 3, November 2007, Pages 562–580
نویسندگان
Chien-Sing Lee,