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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
Ignacio Villagran; Rocio Hernandez; Gregory Schuit; Andres Neyem; Javiera Fuentes-Cimma; Constanza Miranda; Isabel Hilliger; Valentina Duran; Gabriel Escalona; Julian Varas – IEEE Transactions on Learning Technologies, 2024
This article presents a controlled case study focused on implementing and using generative artificial intelligence, specifically large language models (LLMs), in physiotherapy education to assist instructors with formulating effective technology-mediated feedback for students. It outlines how these advanced technologies have been integrated into…
Descriptors: Artificial Intelligence, Physical Therapy, Technology Uses in Education, Case Studies
Qi Lang; Shengjing Tian; Mo Wang; Jianan Wang – IEEE Transactions on Learning Technologies, 2024
Entrepreneurship education is critical in encouraging students' innovation, creativity, and entrepreneurial spirit. It provides essential skills and knowledge, enabling them to open their creative potential and apply innovative thinking across diverse professional fields. With the widespread application of large language models in education,…
Descriptors: Entrepreneurship, Business Administration Education, Artificial Intelligence, Creativity
Zhang, Kang; Shao, Zhijing; Lu, Yun; Yu, Ying; Sun, Wei; Wang, Zeyu – IEEE Transactions on Learning Technologies, 2023
As metaverse becomes one of the most popular buzzwords in technology, there is still a lack of support to integrate true metaverse learning experiences in massive open online courses (MOOCs). This article introduces a new framework of massive open metaverse courses (MOMCs) and its major enabling technologies, which add immersive and 3-D learning…
Descriptors: MOOCs, Learning Experience, Guidelines, Educational Technology
Beasley, Zachariah J.; Piegl, Les A.; Rosen, Paul – IEEE Transactions on Learning Technologies, 2021
Accurately grading open-ended assignments in large or massive open online courses is nontrivial. Peer review is a promising solution but can be unreliable due to few reviewers and an unevaluated review form. To date, no work has leveraged sentiment analysis in the peer-review process to inform or validate grades or utilized aspect extraction to…
Descriptors: Case Studies, Online Courses, Assignments, Peer Evaluation
Motejlek, Jiri; Alpay, Esat – IEEE Transactions on Learning Technologies, 2021
This article presents and analyzes existing taxonomies of virtual and augmented reality and demonstrates knowledge gaps and mixed terminology, which may cause confusion among educators, researchers, and developers. Several such occasions of confusion are presented. A methodology is then presented to construct a taxonomy of virtual reality and…
Descriptors: Taxonomy, Teaching Methods, Artificial Intelligence, Educational Objectives
Alammary, Ali – IEEE Transactions on Learning Technologies, 2021
Developing effective assessments is a critical component of quality instruction. Assessments are effective when they are well-aligned with the learning outcomes, can confirm that all intended learning outcomes are attained, and their obtained grades are accurately reflecting the level of student achievement. Developing effective assessments is not…
Descriptors: Outcomes of Education, Alignment (Education), Student Evaluation, Data Analysis