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Xie, Charles; Li, Chenglu; Sung, Shannon; Jiang, Rundong – IEEE Transactions on Learning Technologies, 2022
During the COVID-19 pandemic, many students lost opportunities to explore science in labs due to school closures. Remote labs provide a possible solution to mitigate this loss. However, most remote labs to date are based on a somehow centralized model in which experts design and conduct certain types of experiments in well-equipped facilities,…
Descriptors: Learner Engagement, Distance Education, Science Education, COVID-19
Kim, Jihyung; Kim, Kyeongsun; Kim, Wooksung – IEEE Transactions on Learning Technologies, 2022
This article investigated the impact of immersive virtual reality (VR) content, using 360-degree videos, in undergraduate education. To improve the delivery and reality of 360-degree VR content, we filmed the video in the third person so that the viewers could feel like they were in the environment where the lecture was conducted. To verify the…
Descriptors: Computer Simulation, Video Technology, Undergraduate Study, College Students
Asiri, Yousef A.; Millard, David E.; Weal, Mark J. – IEEE Transactions on Learning Technologies, 2021
Digital behavior change interventions (DBCIs) provide customized advice, ongoing support, and Web- and mobile-based platforms for learners who want to change their undesirable behaviors. DBCIs have been successful in the past for delivering interventions that support sustained changes to health behaviors, such as disease prevention and health…
Descriptors: Learner Engagement, Feedback (Response), Behavior Change, Intervention
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
Lavoue, Elise; Monterrat, Baptiste; Desmarais, Michel; George, Sebastien – IEEE Transactions on Learning Technologies, 2019
In spite of their effectiveness, learning environments often fail to engage users and end up under-used. Many studies show that gamification of learning environments can enhance learners' motivation to use learning environments. However, learners react differently to specific game mechanics and little is known about how to adapt gaming features to…
Descriptors: Educational Games, Educational Environment, Learner Engagement, Time on Task
Chin, Kai-Yi; Lee, Ko-Fong; Chen, Yen-Lin – IEEE Transactions on Learning Technologies, 2020
In most cultural heritage courses, students physically visit several renowned heritage sites for educational purposes. However, because of time and manpower limitations, many teachers use traditional outdoor instruction methods to transmit vital information regarding these sites and buildings. This approach could result in students merely…
Descriptors: Cultural Education, Historic Sites, Outdoor Education, Computer Simulation
Brinton, Christopher G.; Rill, Ruediger; Ha, Sangtae; Chiang, Mung; Smith, Robert; Ju, William – IEEE Transactions on Learning Technologies, 2015
We present the design, implementation, and preliminary evaluation of our Adaptive Educational System (AES): the Mobile Integrated and Individualized Course (MIIC). MIIC is a platform for personalized course delivery which integrates lecture videos, text, assessments, and social learning into a mobile native app, and collects clickstream-level…
Descriptors: Individualized Instruction, Electronic Learning, Online Courses, Student Attitudes
Cocea, M.; Weibelzahl, S. – IEEE Transactions on Learning Technologies, 2011
Learning environments aim to deliver efficacious instruction, but rarely take into consideration the motivational factors involved in the learning process. However, motivational aspects like engagement play an important role in effective learning-engaged learners gain more. E-Learning systems could be improved by tracking students' disengagement…
Descriptors: Prediction, Electronic Learning, Online Courses, Delivery Systems