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Miftah Arifin; Anas Ma'ruf Annizar; Moh. Khusnuridlo; Abd. Halim Soebahar; Agus Yudiawan – Journal of Education and e-Learning Research, 2025
This study examines a level and model for technology acceptability and use in online learning inside universities. The unified theory of UTAUT is used as an analysis tool. An associative quantitative method is used with a sample of 392 students. Data were collected by distributing questionnaires through a specially designed Google Form. The data…
Descriptors: Educational Technology, Electronic Learning, Technology Uses in Education, College Students
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Moon-Heum Cho; Eunjung Grace Oh; Yunjeong Chang; Seokwon Hwang – Distance Education, 2025
The purpose of this study was to examine the relationships among MOOC learners' personal goal achievement, instructor goal achievement, learning experiences measured with perceived learning and course satisfaction, and their continuance intention in a MOOC offered by a research university in the United States. A total of 203 MOOC learners…
Descriptors: MOOCs, Goal Orientation, Technology Uses in Education, Intention
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Chun Lai; Qianshan Chen; Yabing Wang; Xuedan Qi – British Journal of Educational Technology, 2024
Individual interest and self-regulation are two pillars of self-directed learning. Despite empirical evidence on the interaction between the two with respect to academic achievement, few studies have explored how individual interest and self-regulation might interact and relate to self-directed informal learning. This study surveyed 322 university…
Descriptors: College Students, Student Interests, Independent Study, Informal Education
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Harun Cigdem; Semiral Oncu – TechTrends: Linking Research and Practice to Improve Learning, 2025
Despite efforts to implement innovative approaches such as flipped learning leveraging computer technology, the challenge of student failure persists. Understanding the factors that contribute to student success in flipped engineering courses remains a critical issue. This study addresses this issue by investigating the impact of student…
Descriptors: Gamification, Flipped Classroom, Learner Engagement, Learning Readiness
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Giulio Marchena Sekli; May Portuguez-Castro – Education and Information Technologies, 2025
This study presents an in-depth examination of the role of Generative Artificial Intelligence in enhancing entrepreneurial success, situated within the educational context of a leading business school in Peru. Utilizing the Technology-to-Performance Chain framework, the research integrates both qualitative and quantitative methodologies to explore…
Descriptors: Entrepreneurship, Success, Artificial Intelligence, Technology Uses in Education
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Dubey, Pushkar; Sahu, Kailash Kumar – Journal of Research in Innovative Teaching & Learning, 2023
Purpose: Students' perception towards learning technologies in the disruptive times like coronavirus disease (2019) COVID-19 is what the educational institutes are striving to know so that the educational institutes could provide the best learning experiences to students. The present study attempts to identify the technology-enhanced learning…
Descriptors: Technology Uses in Education, Student Satisfaction, Educational Benefits, College Students
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Muhammad Abbas; Farooq Ahmed Jam; Tariq Iqbal Khan – International Journal of Educational Technology in Higher Education, 2024
While the discussion on generative artificial intelligence, such as ChatGPT, is making waves in academia and the popular press, there is a need for more insight into the use of ChatGPT among students and the potential harmful or beneficial consequences associated with its usage. Using samples from two studies, the current research examined the…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Student Attitudes
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Elizeth Mayrene Flores Hinostroza; Derling Jose Mendoza; Mercedes Navarro Cejas; Edinson Patricio Palacios Trujillo – International Electronic Journal of Mathematics Education, 2025
This study builds on the increasing relevance of technology integration in higher education, specifically in artificial intelligence (AI) usage in educational contexts. Background research highlights the limited exploration of AI training in educational programs, particularly within Latin America. AI has become increasingly pivotal in educational…
Descriptors: Science Instruction, Artificial Intelligence, Technology Integration, Technology Uses in Education
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Jonali Baruah; Daniel Dalton; Jamie Borchardt – Journal of Continuing Higher Education, 2024
Perceived social support and stress have been extensively examined in the literature. However, changes in online technology and changing student demographics have brought the question of whether online social support has the same benefits or effects as offline support among college students. The present study examined the role of social support…
Descriptors: Nontraditional Students, College Students, Stress Variables, Predictor Variables
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María García de Blanes Sebastián; José Ramón Sarmiento Guede; Alberto Azuara Grande; Antonio Ferrao Filipe – Education and Information Technologies, 2025
During COVID-19 pandemic, Mobile learning (M-learning) was implemented in many universities to continue teaching. Consequently, its use has increased drastically, facing new challenges and benefits. The main aim of this research is to adopt the Unified Theory of Acceptance and Use of Extended Technology (UTAUT-2) to determine the intention of…
Descriptors: Telecommunications, Handheld Devices, Educational Technology, Technology Uses in Education
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Sointu, Erkko; Hyypiä, Mareena; Lambert, Matthew C.; Hirsto, Laura; Saarelainen, Markku; Valtonen, Teemu – Higher Education: The International Journal of Higher Education Research, 2023
Flipped classrooms have become widely adopted in educational settings (e.g., in higher education) worldwide. However, there is a need for more precise understanding of the ingredients for student satisfaction in a flipped setting. The aim of this paper was to investigate university students' experiences of the factors that create a successful…
Descriptors: Flipped Classroom, Educational Technology, Student Satisfaction, College Students
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Abd Aziz, Nurul Nadia; Aziz, Mohd Amar; Abd Rahman, Noor Amira Syazwani – Journal of Applied Research in Higher Education, 2023
Purpose: This study aimed to explore the technostress effects on the students' expectancy in their academic performance. Three main factors were used as predictors, namely techno-complexity (TC), techno-insecurity (TIS) and techno-overload (TO), to measure the students' performance expectancy via the mediating effects of student satisfaction (SS).…
Descriptors: Student Satisfaction, Technology Uses in Education, Anxiety, Academic Achievement
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Zhou, Munyaradzi; Dzingirai, Canicio; Hove, Kudakwashe; Chitata, Tavengwa; Mugandani, Raymond – Education and Information Technologies, 2022
This study focuses on the uses of digital technology during teaching and learning. The preparedness, adoption, and use of virtual learning are inquired. Technology cannot enhance learning unless adopted, embraced, and effectively used. Three hundred and one (301) online questionnaires were administered to Higher and Tertiary institutions (HTEIs)…
Descriptors: Technology Uses in Education, Technology Integration, COVID-19, Pandemics
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Ikhsan, Ridho Bramulya; Prabowo, Hartiwi; Yuniart; Simamora, Bachtiar; Ruan, Ximing; Kumar, Vikas – Journal of Educators Online, 2023
A mobile learning management system (mobile LMS) facilitates the interaction between lecturers and students to transfer knowledge flexibly. With the high possibility of universities adopting a mobile LMS into their learning systems, predicting student acceptance of mobile LMS is critical. Based on an extension of the unified theory of acceptance…
Descriptors: Foreign Countries, Electronic Learning, Distance Education, College Students
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Artur Strzelecki – Interactive Learning Environments, 2024
ChatGPT is an AI tool that assisted in writing, learning, solving assessments and could do so in a conversational way. The purpose of the study was to develop a model that examined the predictors of adoption and use of ChatGPT among higher education students. The proposed model was based on a previous theory of technology adoption. Seven…
Descriptors: Computer Software, Artificial Intelligence, Synchronous Communication, Technology Uses in Education
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