Automatic Composition of Instructional Units in Virtual Learning Environments

• Published in: International journal of emerging technologies in learning Vol. 13; no. 6; p. 86
• Main Authors: Hnida, Meriem, Khalidi Idrissi, Mohammed, Bennani, Samir
• Format: Journal Article
• Language: English
• Published: Vienna International Association of Online Engineering (IAOE) 01.01.2018
• Subjects: Algorithms; Bayesian Statistics; Cognitive Structures; Cognitive style; Courseware; Curricula; Curriculum Design; Educational Environment; Educational Objectives; Educational software; Educational technology; Electronic Learning; Independent study; Influence of Technology; Instructional design; Instructional Development; Instructional Materials; Knowledge; Knowledge Level; Learning management systems; Learning Processes; Online instruction; Prior Learning; Researchers; Student Characteristics; Students; Units of Study
• ISSN: 1863-0383; 1863-0383
• DOI: 10.3991/ijet.v13i06.8107

In this paper, a new approach for automatic composition of instructional units based on a new variant of Harmony Search Algorithm is proposed. The purpose is to solve curriculum sequencing issue by designing and arranging learning content in a suitable sequence. By suitable sequence we mean a learning sequence that fits learner level and presents the content in a way that conveys its structure to learner. Results show that the proposed approach is promising. For instance, individualized courseware plan are generated “on the spot” carefully considering both students characteristics and subject-matter coherence.