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Sonay Caner-Yildirim – SAGE Open, 2025
While Generative Artificial Intelligence (GenAI) technologies like ChatGPT are revolutionizing education by offering unique interaction opportunities and prompting legislative shifts toward AI literacy, there remains a significant gap in understanding the factors that influence their acceptance and effective use in educational settings. In…
Descriptors: Artificial Intelligence, Adoption (Ideas), Undergraduate Students, Computer Uses in Education
Aleksandra Kobicheva; Elena Tokareva; Tatiana Baranova – European Journal of Psychology of Education, 2025
Phubbing is not only a consequence of technological advancements but also represents an entirely novel aspect of social conduct, impacting students' academic performance and the sustainability of development. The purpose of the study is to identify the relationship between students' level of phubbing, academic engagement and academic performance…
Descriptors: Student Behavior, Learner Engagement, Computer Use, College Students
Linlin Hu; Hao Wang; Yunfei Xin – Education and Information Technologies, 2025
Although Generative Artificial Intelligence (GAI) has demonstrated significant potential in education, there is a lack of research on pre-service teachers' behavioral intentions toward GAI. This study is based on the UTAUT2 model and, for the first time, introduces perceived risk as a key variable to systematically investigate the factors…
Descriptors: Foreign Countries, Preservice Teachers, Computer Attitudes, Technology Integration
Amy Baldwin; Louis Nadelson; Dana Tribble – Journal of Effective Teaching in Higher Education, 2024
College students have a variety of temptations that can keep them from making the most of their learning in and out of the classroom. Moreover, students' habits and behaviors related to mobile device use can hinder their learning and can stymie faculty's effective teaching practices. To explore these issues, we conducted a phenomenological study…
Descriptors: Student Motivation, Student Behavior, Handheld Devices, College Freshmen
Altinpulluk, Hakan; Kilinc, Hakan; Alptekin, Gokhan; Yildirim, Yusuf; Yumurtaci, Onur – Open Praxis, 2023
The aim of this study was to determine the relationship between the intrinsic motivation levels and self-directed learning levels of learners within a massive open online course environment. In addition, the relationship between these variables and the technology competences/average daily use times of technology were also studied. This study was…
Descriptors: MOOCs, Independent Study, Student Motivation, Correlation
Hermann Astleitner; Sarah Schlick – Active Learning in Higher Education, 2025
Social media has a strong influence on the everyday lives of college students. A particular question of advanced research interest is whether social media also play a role when attending class. This exploratory study was aimed at designing a theoretical model that embraces such concepts. First, we identified that identity development, learning…
Descriptors: Social Media, College Students, Self Concept, Computer Use
Shard; Devesh Kumar; Sapna Koul – International Journal of Learning Technology, 2024
This study aims to examine the effects of e-learning management system -- quality characteristics and student characteristics on continuous intention to use e-LMS. This empirical and quantitative study focuses on emerging nations, specifically India, and explores the acceptance of e-LMS among students. While previous research has examined student…
Descriptors: Foreign Countries, Electronic Learning, Undergraduate Students, Graduate Students
Renjie Song; Yaru Zheng – SAGE Open, 2024
Learning Management Systems (LMS) are crucial in modern educational technology, enhancing education through personalized support, efficient resource management, and data-driven decision-making. LMS holds a pivotal position in contemporary higher education. This research explores undergraduate students' continued learning intentions, grounded in…
Descriptors: Intention, Learning Management Systems, Undergraduate Students, Educational Technology
Ilana Dubovi; Idit Adler – Interactive Learning Environments, 2024
Computer-based simulations are highly effective in supporting students' deep conceptual understanding of scientific ideas. However, in the unprecedented era of the COVID-19 outbreak, students around the world experienced an induced state anxiety, which may have affected their engagement with the learning environments and ultimately their academic…
Descriptors: COVID-19, Pandemics, Anxiety, Learner Engagement
Xiao-Rong Guo; Shao-Ying Gong; Si-Yang Liu; Jing Wang; Yan-Qing Wang; Xin Zhao – European Journal of Psychology of Education, 2025
Previous studies have pointed out that leisure motivational interference was an important factor affecting students' learning satisfaction. This study concentrates on three unexplored areas in the current literature on leisure motivational interference and learning satisfaction. Specifically, it is the first to (a) focus on the effects of digital…
Descriptors: Leisure Time, Student Motivation, College Students, Electronic Learning
Lu, Kaili; Pang, Feng; Shadiev, Rustam – Education and Information Technologies, 2023
Asynchronous online learning has gained great popularity in higher education, especially due to the recent COVID-19 pandemic. However, few studies have investigated how to maintain students' continuous usage intention of asynchronous online courses in the context of higher education. This study incorporated four key factors (intrinsic motivation,…
Descriptors: Asynchronous Communication, Educational Technology, Technology Uses in Education, College Students
Turan, Serhat; Yaman, M. Sibel; Genc, Halil Ibrahim; Donmez, Ahmet; Herguner, Gülten; Yaman, Çetin – Turkish Online Journal of Educational Technology - TOJET, 2022
In this research, it was aimed to determine the predictive power of academic motivation and attitudes towards mobile learning on perceived learning in sports science students. 416 (197 female+219 male) sports science students were included in the research, which was conducted in accordance with the correlational survey model. In the research,…
Descriptors: Foreign Countries, Student Motivation, Student Attitudes, College Students
Aiman K. Rakhmetova; Gulzhamila Meiirova; Didara T. Balpanova; Ainash K. Baidullayeva; Dina E. Nurmakhanova – Journal of Technology and Science Education, 2024
This study investigates the efficacy of incorporating neuropedagogical elements into virtual simulators for advanced chemistry education in universities. Utilizing a mixed-method approach, it uses questionnaires completed by 50 organic chemistry students. These questionnaires included both general and Likert scale questions, focusing on students'…
Descriptors: Foreign Countries, College Students, Organic Chemistry, Neurosciences
Jahnke, Isa; Meinke-Kroll, Michele; Todd, Michelle; Nolte, Alexander – Technology, Knowledge and Learning, 2022
Active learning strategies increase student engagement and performances, however, there is student resistance toward such instructional interventions. To overcome student resistance groupwork can be useful. In addition, digital technology can be used to re-design courses to add active learning techniques and support learning "with" and…
Descriptors: Active Learning, Computer Uses in Education, Educational Technology, College Students
Rodríguez-Peñarroja, Manuel – Teaching English with Technology, 2022
ESP courses have been considered as crucial for the academic training of future professionals in different areas of knowledge. Their broad spectrum mainly includes the mastery of a foreign language, the learning of specific terminology, and the development of skills related to students' career needs. Recent research has examined the implementation…
Descriptors: Active Learning, Student Projects, Task Analysis, English for Special Purposes