Abstract:

Effective instructional resources are critical in successful online distance learning (ODL), particularly for adult learners with diverse needs and experiences. Considering learners' varied learning styles, prior knowledge, and experiences, this study focuses on optimizing Self-Instructional Material (SIM) within the myINSPIRE Learning Management System (LMS). Incorporating Cognitive Load Theory (CLT), it explores SIM efficacy through design strategies, learning theories, user experience, and learner characteristics, such as age, gender, educational level, and familiarity with learning theories. With an objective to optimize cognitive load via SIM design, the study considers scaffolding strategies, learner control, and the management of extraneous and intrinsic cognitive loads. It delves into the alignment of SIM design with constructivist and behaviorist learning theories, studying their impact on SIM usability, effectiveness, and learning outcomes. Key elements such as immediate feedback mechanisms, interaction opportunities, and adaptive learning strategies, in accordance with the principle of CLT. The study aims to inform the design of more engaging, effective SIMs in myINSPIRE and similar LMS platforms to enhance ODL outcomes in higher education institutions. By underscoring the importance of interweaving SIM, LMS, and cognitive load management, this research fills a gap in the understanding of SIM design and implementation, contributing to personalized learning experiences. The research methodology involves a comprehensive SIM design analysis, learning analytics, and survey data to evaluate these aspects and identify additional potential factors that could be integrated into SIM design for ODL. The results, derived from descriptive and inferential statistics, demonstrate significant trends and patterns in SIM usage and effectiveness. The paper concludes with the primary findings, implications for SIM design and implementation in ODL, potential limitations, and future research directions.

Keywords:

Self-Instructional Material (SIM), Cognitive Load Theory, Personalized Learning Environments, Online Distance Education, Learning Theories, Learner.