On the use of case-based planning for e-learning personalization

被引:30
|
作者
Garrido, Antonio [1 ]
Morales, Lluvia [2 ]
Serina, Ivan [3 ]
机构
[1] Univ Politecn Valencia, Camino Vera S-N, E-46022 Valencia, Spain
[2] Univ Tecnol Mixteca, Oaxaca 69000, Mexico
[3] Univ Brescia, Via Branze 38, Brescia, Italy
关键词
e-learning; Learning route personalization; Planning; Plan adaptation; Case base planning; RECOMMENDER SYSTEMS; MODELS; CLASSIFICATION; ENVIRONMENT; COMPLEXITY;
D O I
10.1016/j.eswa.2016.04.030
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper we propose myPTutor, a general and effective approach which uses Al planning techniques to create fully tailored learning routes, as sequences of Learning Objects (LOs) that fit the pedagogical and students' requirements. myPTutor has a potential applicability to support e-learning personalization by producing, and automatically solving, a planning model from (and to) e-learning standards in a vast number of real scenarios, from small to medium large e-learning communities. Our experiments demonstrate that we can solve scenarios with large courses and a high number of students. Therefore, it is perfectly valid for schools, high schools and universities, especially if they already use Moodle, on top of which we have implemented myPTutor. It is also of practical significance for repairing unexpected discrepancies (while the students are executing their learning routes) by using a Case-Based Planning adaptation process that reduces the differences between the original and the new route, thus enhancing the learning process. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1 / 15
页数:15
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