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Direct linkTao, Da; Fu, Pei; Wang, Yunhui; Zhang, Tingru; Qu, Xingda – Interactive Learning Environments, 2022
In spite of the proliferation of Massive Open Online Courses (MOOCs) in higher education, factors influencing user acceptance of MOOCs are not well understood. This study is intended to investigate key characteristics of user acceptance from interface design (i.e. usability), content quality (i.e. perceived quality), and emotional arousal (i.e.…
Descriptors: MOOCs, Computer Attitudes, Educational Technology, Technology Uses in Education
Barrett, Alex; Pack, Austin; Guo, Yajing; Wang, Ningjuan – Interactive Learning Environments, 2023
Virtual reality is a rapidly developing technology and its applications are being explored in a variety of educational fields. While an increasing amount of attention is being paid to VR as a language learning tool, there remains less research on using VR with languages other than English. Adapting the Technology Acceptance Model, this study…
Descriptors: Second Language Learning, Chinese, Educational Technology, Technology Uses in Education
Ashrafi, Amir; Zareravasan, Ahad; Rabiee Savoji, Sogol; Amani, Masoumeh – Interactive Learning Environments, 2022
In the last decades, universities and higher education institutes have widely employed a learning management system (LMS) to monitor and manage electronic learning and teaching. Contrary to the significant role of LMS in educational settings, most research has focused on initial acceptance, and few attempts have been made to investigate factors…
Descriptors: College Students, Intention, Learning Management Systems, Educational Technology
Wang, Yu-Yin; Wang, Yi-Shun; Lin, Hsin-Hui; Tsai, Tung-Han – Interactive Learning Environments, 2019
With the proliferation of paid mobile learning applications (m-learning apps), understanding how to assess their success has become an important issue for academics and practitioners. Based on the information systems (IS) success models and the value-based adoption model, this study developed and validated a multidimensional model for assessing…
Descriptors: Telecommunications, Handheld Devices, Computer Oriented Programs, Educational Technology
Pozón-López, I.; Kalinic, Zoran; Higueras-Castillo, Elena; Liébana-Cabanillas, Francisco – Interactive Learning Environments, 2020
The purpose of this study is to classify the predictors of satisfaction and intention to use in Massive Open Online Courses (MOOC). Informed by a scientific literature review, this work poses a behavioral model to explain intention to use via various constructs. To this end, the authors have carried out a study through an online survey of Spanish…
Descriptors: Online Courses, Large Group Instruction, Predictor Variables, Student Satisfaction
Cheon, Jongpil; Chung, Sungwon; Song, Jaeki; Kim, Yongjin – Interactive Learning Environments, 2015
A serious game, which is designed for learning purposes rather than recreational purposes, has been applied for digital game-based Learning. This study investigated the effects of graphic organizers in a serious game, "The Transistor", on learning outcomes and attitudinal perceptions. A total of 99 participants were randomly assigned to…
Descriptors: Instructional Materials, Educational Games, Attitude Measures, Technology Uses in Education
