Year: 2025
Type: conference-paper
Abstract: The development of digital technology has significantly influenced education, with e-learning systems becoming essential tools for teaching and learning. A fundamental component of these systems is learning objects—the smallest units of knowledge—whose validity and usability are increasingly scrutinized due to the rapid growth of available educational materials. This research aims to develop a tool for evaluating learning objects using the Delphi method, which can function independently or as part of an e-learning system. Previous studies have identified two main categories of assessment: teacher-conducted assessments, often based on experience, and computerized assessments, which typically rely on specific evaluation criteria. In this study, the Delphi method was employed to develop a learning object assessment tool, involving multiple rounds of expert evaluation to reach a consensus. The primary evaluation criteria were derived from Bloom’s taxonomy of learning objectives, the VAK (Visual/Aural/Kinesthetic) model of learning styles, and Biggs’ cognitive deep/surface learning framework. The results indicated a high level of agreement among respondents with the proposed statements, confirming the validity and reliability of the developed instrument. Additionally, the calculation of Cronbach’s alpha coefficient (0.9165) demonstrated high instrument reliability, supporting its implementation in e-learning systems for personalized education.
Author: Maja Gligora Marković
Institution: University of Rijeka
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4410159617