کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
349869 | 618242 | 2008 | 20 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Personalized multi-student improvement based on Bayesian cybernetics
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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
This work presents innovative cybernetics (feedback) techniques based on Bayesian statistics for drawing questions from an Item Bank towards personalized multi-student improvement. A novel software tool, namely Module for Adaptive Assessment of Students (or, MAAS for short), implements the proposed (feedback) techniques. In conclusion, a pilot application to two Computer Science courses during a period of 4 years demonstrates the effectiveness of the proposed techniques. Statistical evidence strongly suggests that the proposed techniques can improve student performance. The benefits of automating a quicker delivery of University quality education to a large body of students can be substantial as discussed here.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Education - Volume 51, Issue 4, December 2008, Pages 1430–1449
Journal: Computers & Education - Volume 51, Issue 4, December 2008, Pages 1430–1449
نویسندگان
Vassilis G. Kaburlasos, Catherine C. Marinagi, Vassilis Th. Tsoukalas,