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PeRSIVA: An empirical evaluation method of a student model of an intelligent e-learning environment for computer programming

机译:PeRSIVA:一种用于计算机编程的智能电子学习环境的学生模型的经验评估方法

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摘要

In this paper an evaluation method for assessing the effectiveness, accuracy and validity of a student model was presented. Our method is called PeRSIVA and is a combination of the well-known evaluation method of Kirkpatrick and the layered evaluation framework. These well-known and commonly used evaluation techniques have been selected in order to design an accurate and correct evaluation methodology, since there are no clear guidelines in the literature for the evaluation of the student model of an adaptive tutoring system. Furthermore, PeRSIVA method was used to evaluate the hybrid student model, which combines an overlay model with stereotypes and fuzzy logic techniques, of an e-learning system. Particularly, PeRSIVA assesses the results of student modeling in students' satisfaction, performance, progress, behavior and state, as well as the validity of the conclusions drawn by the student model and the validity of the adaptation decision making. The e-learning system was used by the students of a postgraduate program in the field of informatics in the University of Piraeus and the evaluation results demonstrated learning improvements in students and adaptation success to students' needs.
机译:本文提出了一种评估学生模型有效性,准确性和有效性的评估方法。我们的方法称为PeRSIVA,是著名的Kirkpatrick评估方法和分层评估框架的结合。选择这些众所周知且常用的评估技术是为了设计一种准确而正确的评估方法,因为文献中没有明确的指导方针来评估自适应补习系统的学生模型。此外,PeRSIVA方法用于评估混合学习模型,该模型将覆盖模型与定型和模糊逻辑技术结合在一起,用于电子学习系统。尤其是,PeRSIVA会评估学生建模的结果,包括学生的满意度,成绩,进度,行为和状态,以及学生模型得出的结论的有效性和适应性决策的有效性。比雷埃夫斯大学信息学研究生课程的学生使用了电子学习系统,评估结果证明了学生在学习方面的改进和对学生需求的成功适应。

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