An Expert-Opinion-Based Evaluation Framework for Sustainable Technology-Enhanced Learning Using Z-Numbers and Fuzzy Logarithm Methodology of Additive Weights

As technology continues to shape the landscape of education, need for effective evaluation frameworks sustainable technology-enhanced learning (TEL) becomes increasingly vital. This study presents an expert-opinion-based framework, utilizing Z-numbers and fuzzy logarithm methodology additive weights (LMAW), assess sustainability TEL approaches. framework focuses on four main criteria: cloud services compliance, M-Learning essentials, system technological advancement, organizations management readiness. Additionally, it incorporates 17 sub-criteria provide a comprehensive system. Drawing expertise subject matter specialists, utilizes account inherent uncertainty imprecision in expert judgments. The LMAW is applied calculate overall scores each criterion sub-criterion, enabling quantitative measure their importance process. findings this will contribute development robust scientifically rigorous TEL. By incorporating opinions employing Z-LMAW, decision-makers stakeholders can objectively systems. holds promise informing design implementation strategies enhance quality, advancements environments.