Towards an Enhanced Adaptive Learning Framework: Integrating Blended Learning and Educational Technology

Abstract

The quality of education today significantly impacts student performance and academic achievements. Adaptive learning has emerged as a strategic approach to enhance educational quality by replacing conventional one-size-fits-all methods, which often fail to address diverse student needs. However, existing adaptive learning frameworks predominantly rely on e-learning platforms, despite many educators still favouring face-to-face instruction in the classroom as their primary platform. Therefore, this research article aims to propose an adaptive learning framework that integrates a blended learning environment while leveraging educational technology. This research uses literature reviews, interviews, and questionnaires to develop the proposed adaptive learning framework, the Adaptive-Decision Support System-Learning Framework (A-DSS-LF). The A-DSS-LF comprises four primary components: the learning process, learning assessment, adaptive decision support system, and adaptive profile—the validation of the proposed A-DSS-LF involves experts from the education field. Presentations and discussions were conducted to gather their feedback and reach a consensus on the framework's validity. The findings of the Fuzzy Delphi Analysis reveal that the proposed A-DSS-LF garnered a positive reception from experts. However, valuable feedback was also offered for potential enhancements to the framework. The proposed A-DSS-LF provides educators and students with alternative learning strategies within a blended learning environment, customised to meet students' individual needs. It also leverages existing technology as a supportive learning tool.