An adaptive sequencing method of the learning objects for the e-learning environment

Abstract

SUMMARYIn this study, an e-learning system is developed to handle the e-learning environment based on the learning ecological model. In the learning ecological model, which represents the comprehensive e-learning environment, not only the contents of learning, but also the learning environment are managed and provided, based on the content, the goal, and the configuration of the learning. The major purpose of this study is to realize the function that can manage the diversified learning objects with various information granularities and representation formats, using the learning object metadata, so that each learner can utilize the learning object based on the learning scenario, which is matched to the individual learner. The learning scenario is constructed by sequencing the learning objects based on the learning necessity, the learning history information, and the curriculum information of the object of learning, according to the characteristics of the learning object. As the sequencing procedure, the sequencing of the learning objects is considered, by applying the optimization technique of the multi-objective optimization problem, so that multiple evaluation viewpoints are simultaneously satisfied. The genetic algorithm is used as the optimization procedure. The learning object metadata and the sequencing of the learning objects are discussed in detail in this paper. The evaluation of the developed e-learning system is also described.

Learning path adaptation in online learning systems

“…The results of their experiment have shown that learning in suitable learning paths could improve students' learning results and saves learning time. This result is in line with previously published studies [7,17,18], which have indicated that learning path adaptivity has successfully guided learner to get satisfactory assessment results.…”

“…Therefore, several authors [15,17] propose multi-criteria/multi-objective optimization problem to solve learning path adaptation. The concern in multi-objective optimization problem is to satisfy multiple objectives simultaneously.…”

“…The concern in multi-objective optimization problem is to satisfy multiple objectives simultaneously. For instance, in [17] the author attempted to generate adaptively the learning object sequence by formulating the evaluation viewpoint for sequencing as a multi-objective optimization problem. The conditions that must be satisfied are concept relation, prerequisite satisfaction, difficulty level.…”

A Development of Learning Management System for the Practice of E-Learning in Higher Education

“…The Learning Ecological Model focuses on learning content, objective, and style (Seki et al (2000(Seki et al ( , 2002, Okamoto et al (2001)). RAPSODY is based on this model.…”

“…To realize this, LMSs must handle information such as user identity, curriculum, learning contents, learning history, communication among learners, questions, and answers (Seki et al (2002), Okamoto et al (2001), Ymakita et al (1999), IMS/GLC (2005)). RAPSODY systems (Seki et al (2000(Seki et al ( , 2002, Okamoto et al (2001)) implemented these features. In RAPSODY, learners and teachers can utilize functions such as computer supported cooperative learning (CSCL), authoring, planning curriculum, evaluation, and reporting.…”