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Chien-Liang Lin; Jun-Yan Liu; Chi-Heng Li; Yu-Sheng Su; Juan Zhou – International Review of Research in Open and Distributed Learning, 2025
In response to the COVID-19 pandemic, many educational institutions switched to online learning to maintain learning activities. With the global pandemic, the educational environment was forced to shift from traditional face-to-face teaching or blended learning to a fully online learning model. In February 2020, China took the lead in announcing…
Descriptors: COVID-19, Pandemics, Online Courses, Educational Technology
Hsi-Hsun Yang – International Review of Research in Open and Distributed Learning, 2024
This study proposes a hypothetical model combining the unified theory of acceptance and use of technology (UTAUT) with self-determination theory (SDT) to explore design professionals' behavioral intentions to use artificial intelligence (AI) tools. Moreover, it incorporates job replacement (JR) as a moderating role. Chinese-speaking design…
Descriptors: Artificial Intelligence, Design, Intention, Models
Wang, Kai – International Review of Research in Open and Distributed Learning, 2023
This study incorporated the technology acceptance model (TAM) and theory of planned behavior (TPB) to interpret students' perception of MOOCs. This study was based on a survey questionnaire; all 525 respondents were undergraduates in China. A five-point Likert scale was used to collect data in order to measure relationships among the constructs of…
Descriptors: Foreign Countries, Undergraduate Students, MOOCs, Intention
Dongmin Ma; Huma Akram; I-Hua Chen – International Review of Research in Open and Distributed Learning, 2024
Artificial intelligence (AI) has undergone considerable advancement in the contemporary period and represents an emerging technology in higher education. Cultural contexts significantly shape individuals' perceptions, attitudes, and behaviors, particularly in the realm of technology acceptance. By adopting a cross-cultural lens, this research…
Descriptors: Artificial Intelligence, Student Behavior, Intention, Student Attitudes
Al-Azawei, Ahmed; Abdullah, Alharith A.; Mohammed, Mahmood K.; Abod, Zaid A. – International Review of Research in Open and Distributed Learning, 2023
Although online learning has become ubiquitous worldwide, earlier research has neglected the relationship between its actual use and security concerns. Learners' lack of security awareness while using learning technologies remains rarely studied. This paper integrates Delone and McLean's information system success (D&M-ISS) model with the…
Descriptors: Foreign Countries, Online Courses, Electronic Learning, Success
Aakash Kamble; Nitin Upadhyay; Nayna Abhang – International Review of Research in Open and Distributed Learning, 2024
Massive open online courses (MOOCs) have gained popularity among sales professionals who use them for self-directed learning and upskilling. However, research related to their intentions to continue learning is scarce. Drawing from the social cognition theory, this research aimed to address this gap by investigating the role of task-technology…
Descriptors: MOOCs, Sales Occupations, Salesmanship, Independent Study
Ullah, Muhammad Shariat; Khandakar, Md. Shariful Alam; Aziz, Muhammad Abdul; Kee, Daisy Mui Hung – International Review of Research in Open and Distributed Learning, 2022
This cross-sectional study investigates the online education intention of undergraduate students in the largest and oldest public university in Bangladesh during the COVID-19 pandemic. Under convenient sampling, 843 undergraduate students with rural and urban backgrounds participated in an online self-administered questionnaire. Partial least…
Descriptors: Technology Uses in Education, Electronic Learning, Online Courses, Undergraduate Students
Hanwei Wu; Yunsong Wang; Yongliang Wang – International Review of Research in Open and Distributed Learning, 2024
Artificial intelligence (AI) offers new possibilities for English as a foreign language (EFL) learners to enhance their learning outcomes, provided that they have access to AI applications. However, little is written about the factors that influence their intention to use AI in distributed EFL learning contexts. This mixed-methods study, based on…
Descriptors: College Students, Artificial Intelligence, English (Second Language), Second Language Learning
Clemente Rodríguez-Sabiote; Ana T. Valerio-Peña; Roberto A. Batista-Almonte; Álvaro M. Úbeda-Sánchez – International Review of Research in Open and Distributed Learning, 2024
The global pandemic caused by the SARS-CoV-2 virus brought about a true revolution in the predominant teaching-learning processes (i.e., face-to-face environment) that had been implemented up to that point. In this regard, virtual teaching-learning environments (VTLEs) have gained unprecedented significance. The main objectives of our research…
Descriptors: Electronic Learning, College Students, Online Courses, Models
Nguyen, Hoai Than; Tang, Chia Wei – International Review of Research in Open and Distributed Learning, 2022
This study proposes a new model for integrating the protection motivation theory (PMT) with the technology acceptance model (TAM) to explore factors affecting students' intention to attend e-learning courses during the COVID-19 pandemic. A total of 432 valid responses to an online questionnaire were received from freshmen students studying in…
Descriptors: College Freshmen, COVID-19, Pandemics, Educational Technology
Lu, Mingxiao; Cui, Tianyi; Huang, Zhenyu; Zhao, Hong; Li, Tao; Wang, Kai – International Review of Research in Open and Distributed Learning, 2021
Massive open online courses (MOOCs) have attracted much interest from educational researchers and practitioners around the world. There has been an increase in empirical studies about MOOCs in recent years, most of which used questionnaire surveys and quantitative methods to collect and analyze data. This study explored the research topics and…
Descriptors: Online Courses, Educational Technology, Technology Uses in Education, Qualitative Research
Littenberg-Tobias, Joshua; Ruiperez Valiente, Jose; Reich, Justin – International Review of Research in Open and Distributed Learning, 2020
The relationship between pricing and learning behavior is an important topic in research on massive open online courses (MOOCs). We report on two case studies where cohorts of learners were offered coupons for free certificates to explore how price reductions might influence behavior in MOOC-based online learning settings. In Case Study 1, we…
Descriptors: Student Behavior, Online Courses, Student Costs, Student Participation
Çivril, Hanife; Özkul, Ali Ekrem – International Review of Research in Open and Distributed Learning, 2021
Laboratories, which are an integral part of education in disciplines that require hands-on training and application, can now be presented using new technologies, and application activities can be realized at a distance. In this study, virtual laboratories (VLs) are discussed, and factors affecting the students' intention to use VLs are…
Descriptors: Open Education, Distance Education, Student Attitudes, Associate Degrees
Zhang, Qing; Bonafini, Fernanda Cesar; Lockee, Barbara B.; Jablokow, Kathryn W.; Hu, Xiaoyong – International Review of Research in Open and Distributed Learning, 2019
This paper investigates the degree to which different variables affect the completion of a Massive Open Online Course (MOOC). Data on those variables, such as age, gender, English proficiency, education level, and motivation for course enrollment were first collected through a pre-course survey. Next, course completion records were collected via…
Descriptors: Demography, Student Motivation, Predictor Variables, Online Courses
Luik, Piret; Lepp, Marina – International Review of Research in Open and Distributed Learning, 2021
Computer programming MOOCs attract people who have different motivations. Previous studies have hypothesized that the motivation declared before starting the course can be an important predictor of distinctive dropout rates. The aim of this study was to outline the main motivation clusters of participants in a computer programming MOOC, and to…
Descriptors: Student Motivation, Programming, Online Courses, Large Group Instruction