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Eliza Rossiter; T. J. Thomson; Rachel Fitzgerald – Interactive Technology and Smart Education, 2024
Purpose: The purpose of this study is to evaluate the use and effectiveness of a bespoke mobile learning resource, Pocket Tutor. This resource responds to a number of teaching and learning challenges within the tertiary education context. These include those related to the number and type of learning activities that can be offered, class pacing,…
Descriptors: College Students, Electronic Learning, Handheld Devices, Technology Uses in Education
Reddy, Emmenual V.; Reddy, Pritika; Sharma, Bibhya; Reddy, Karuna; Khan, Mohammed G. M. – Technology, Knowledge and Learning, 2023
The emergence and advancement of Information Communication Technologies have transformed facilitation and content delivery in higher education worldwide, the Pacific region being no exception. The extensive use of mobile phones in the Pacific, especially with the student-aged populace, is gradually creating a niche for mobile learning in the…
Descriptors: Readiness, Student Attitudes, Handheld Devices, College Students
Liandi van den Berg – International Journal for Educational Integrity, 2025
Due to the coronavirus disease 2019 (COVID-2019) and the sudden shift to online learning, higher education institutions adopted various approaches to reduce cheating in online assessments, mainly involving online live proctoring (OLP). The international assessment integrity regulation trend also applied to a university in South Africa, where…
Descriptors: Foreign Countries, College Faculty, College Students, Computer Assisted Testing
Kashive, Neerja; Phanshikar, Dharini – Smart Learning Environments, 2023
This study aimed to identify the factors, which affect the continuance of mobile learning. The study has looked at epistemological, social, and security risk factors based on Magsayo (Interact Technol Smart Educ 20(2):177-208) and how they affect the perceived functional benefits (PFB) and perceived learner value (PLV). Further locus of control…
Descriptors: Intention, Electronic Learning, Handheld Devices, Value Judgment
Zogheib, Bashar; Daniela, Linda – Technology, Knowledge and Learning, 2022
This study is unique in its attempt to combine the Technology Acceptance Model (TAM) with external variables and the Information System Continuance Theory, in the context of mobile learning. It extends TAM with the external variables perceived mobility and perceived enjoyment. Mainly, students' perception of cell phones effect on their academic…
Descriptors: Foreign Countries, College Students, Handheld Devices, Academic Achievement
Azmi Fitriati; Subuh Anggoro; Corrienna Abdul Talib; Tin Lam Toh – Turkish Online Journal of Distance Education, 2025
The Technology Acceptance Model (TAM) is a concise and efficient predictive model used to explain the acceptance of m-learning technology. However, several studies have shown that TAM cannot fully explain the acceptance of m-learning among Generation Z. This study aims to formulate TAM as a model of m-learning acceptance for Generation Z. TAM…
Descriptors: Foreign Countries, College Students, Young Adults, Self Efficacy
Hinze, Annika; Vanderschantz, Nicholas; Timpany, Claire; Cunningham, Sally Jo; Saravani, Sarah-Jane; Wilkinson, Clive – Technology, Knowledge and Learning, 2023
The exponential growth in the use of digital technologies and the availability of mobile software applications (apps) has been well documented over the past decade. Literature on the integration of mobile technology into higher education reveals an increasing focus on how mobile devices are used within the classroom environment, both physical and…
Descriptors: Handheld Devices, Electronic Learning, Educational Technology, Educational Research
Adzifome, Nixon Saba; Agyei, Douglas Darko – Education and Information Technologies, 2023
Mobile learning is the newest and emerging technology embraced by universities and this seems to be fast establishing itself as the preferred mode of learning in many countries. However, ways in which mobile devices are used to meet learning goals seem under-researched and may require more effort from researchers, especially in the context of…
Descriptors: Electronic Learning, Handheld Devices, College Students, Foreign Countries
Djibril, Djamila Hassan; Çakir, Hüseyin – Journal of Learning and Teaching in Digital Age, 2023
The use of mobile augmented reality technology has recently improved in education and training methods. Studies have shown that this new technology has a positive effect on education and students. This study aims to present a synthesis of the studies on mobile augmented reality in health education with a critical approach and to develop…
Descriptors: Student Attitudes, Use Studies, Electronic Learning, Handheld Devices
Imdadullah Hidayat-Ur-Rehman – Interactive Technology and Smart Education, 2024
Purpose: The integration of digital technologies into education has brought about a profound transformation, fundamentally reshaping the learning landscape. The purpose of this study is to underscore the importance of investigating the factors influencing students' engagement (SE) in this evolving digital era, particularly within formal digital…
Descriptors: Learner Engagement, Handheld Devices, Telecommunications, Personal Autonomy
Great Iruoghene Edo; Favour Ogheneoruese Onoharigho; Laurine Chikodiri Nwosu; Agatha Ngukuran Jikah; Dinzei Maureen Marris; Patrick Othuke Akpoghelie; Joy Johnson Agbo – Journal of Continuing Higher Education, 2025
Many universities and colleges worldwide switched to virtual learning due to the coronavirus pandemic, and classroom course delivery was generally discontinued. The present cross-sectional study aimed to determine the effects of the COVID-19 pandemic on the performance of African students' academic performance using virtual learning as a…
Descriptors: Foreign Countries, COVID-19, Pandemics, Educational Change
Gambo, Yusufu; Shakir, Muhammad Zeeshan – Education and Information Technologies, 2023
The increasing development in smart and mobile technologies transforms a learning environment into a smart learning environment that can support diverse learning styles and skills development. An online learner needs to be supported for an engaging and active learning experience. Previously, this progressive research developed and implemented a…
Descriptors: College Seniors, Computer Oriented Programs, Computer Software, Handheld Devices
Dolawattha, Dhammika Manjula; Premadasa, H. K. Salinda; Jayaweera, Prasad M. – International Journal of Information and Learning Technology, 2022
Purpose: The purpose of this study is to evaluate the sustainability of the proposed mobile learning framework for higher education. Most sustainability evaluation studies use quantitative and qualitative methods with statistical approaches. Sometimes, in previous studies, machine learning models were utilized conventionally.…
Descriptors: Sustainability, Higher Education, Artificial Intelligence, Electronic Learning
Habes, Mohammed; Elareshi, Mokhtar; Salloum, Said A.; Ali, Sana; Alfaisal, Raghad; Ziani, Abdulkrim; Alsridi, Hetam – Educational Media International, 2022
Mobile learning (e.g., WhatsApp) is considered a good platform for educational information and communication, but the educative value of this platform, especially during COVID-19, remains unexplored. This study investigates the factors of mobile learning acceptance (MLA) in Jordan, utilizing the Technology Acceptance Model (TAM) alongside…
Descriptors: Student Attitudes, Electronic Learning, Handheld Devices, COVID-19
Eom, Sean – E-Learning and Digital Media, 2023
This paper examines the impact of using mobile devices, the pivotal element of a student-centered ecosystem, on the learning process and learning outcomes from a system's view in which mobile technologies are considered a critical success factor to facilitate the dialogue and self-regulatory learning processes, thereby enhancing e-learning…
Descriptors: Handheld Devices, Outcomes of Education, Distance Education, Electronic Learning