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Shurui Bai; Donn Emmanuel Gonda; Khe Foon Hew – IEEE Transactions on Learning Technologies, 2024
This case study explored the use of generative artificial intelligence (GenAI), specifically chat generative pretraining transformer (ChatGPT), in writing scenarios for scenario-based learning (SBL). Our research addressed three key questions: 1) how do teachers leverage GenAI to write scenarios for SBL purposes? 2) what is the quality of…
Descriptors: Vignettes, Teaching Methods, Engineering Education, Guidelines
Saint, John; Whitelock-Wainwright, Alexander; Gasevic, Dragan; Pardo, Abelardo – IEEE Transactions on Learning Technologies, 2020
The recent focus on learning analytics (LA) to analyze temporal dimensions of learning holds the promise of providing insights into latent constructs, such as learning strategy, self-regulated learning (SRL), and metacognition. These methods seek to provide an enriched view of learner behaviors beyond the scope of commonly used correlational or…
Descriptors: Undergraduate Students, Engineering Education, Learning Analytics, Learning Strategies
Han, Peng-Fei; Zhao, Feng-Kui; Zhao, Gang – IEEE Transactions on Learning Technologies, 2022
Mechanical assembly courses are widely set up for mechanical and vehicle engineering majors. Teaching in these classes is traditionally presented in the form of 2-D lectures, which are ineffective for students to understand complex 3-D information. The study presented in this article aimed to investigate whether augmented reality (AR) could…
Descriptors: Physical Environment, Simulated Environment, Synthesis, Information Technology
Yousuf, Bilal; Conlan, Owen – IEEE Transactions on Learning Technologies, 2018
This paper introduces VisEN, a novel visual narrative framework that has been shown to facilitate, support, and enhance student engagement in an adaptive Online Learning Environment (OLE). VisEN provides explorable visual narratives personalized to students in order to support them in engaging with course content. The evaluation of VisEN showed…
Descriptors: Learner Engagement, Visual Aids, Electronic Learning, Individualized Instruction