Citation
Naeem, Noor i.Kiran and Hadie, Siti Nurma Hanim and Ismail, Irwan Mahazir and Naeem, Zil e.Fatima and Khan, Ahmad Hassan and Yusoff, Muhamad Saiful Bahri
(2025)
Experts' consensus over key components of online learning environments in medical education: a modified e-delphi study.
Khyber Medical University Journal, 17 (1).
pp. 4-12.
ISSN 2305-2643; eISSN: 2305-2651
Abstract
Objectives: To achieve expert consensus on the essential components for effective online learning environments in medical education using a modified eDelphi approach. Methods: A purposive sampling strategy was used to recruit 18 professionals from seven countries, including medical educationists, instructional designers, and health professions faculty, all with minimum two years of experience in technology-enhanced learning environments. Two Delphi rounds were conducted online, where experts rated nine components and 25 subcomponents using a 4-point Likert scale for appropriateness and applicability. Statistical analysis included descriptive statistics (mean, standard deviation) and Friedman's non-parametric rank correlation test, with ≥75% agreement set as the consensus threshold. Results: Fifteen out of 18 experts participated (response rate: 83.3%) and evaluated nine components and 24 subcomponents for appropriateness and applicability. Consensus was achieved across all components, with "Institutional Support" (3.6±0.50) and "Digital Capability" (3.6±0.51) receiving 100% agreement, while "Learning Facilitator" had the lowest score (3.2±0.51; 86.7% agreement). Expert feedback led to refinements in definitions and nomenclature, e.g. renaming "Pedagogical Practices" to "Cybergogical Practices" for better conceptual clarity. Friedman test showed no significant differences in rankings (p >0.05), confirming consensus. The finalized framework supports curriculum design, faculty development, and policymaking. Conclusion: Modified e-Delphi study established a consensus-driven framework for optimizing online learning in medical education. By refining key components-Digital Capability, Cognitive Enhancement, and Cybergogical Practices-it enhances clarity in e-learning terminology and supports curriculum design, faculty development, and policymaking. With strong expert agreement, it ensures adaptability in hybrid education while paving the way for future research and innovation.
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