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Zehua Dong; Ming Ming Chiu; Shuqi Zhou; Zihong Zhang – Education and Information Technologies, 2024
Building on past studies showing that mobile learning improves learning outcomes and differs within a domain (e.g., science), this meta-analysis models domain-specific differences (e.g., learning activities) that drive these differences in science performance. A systematic database search (i.e., Web of Science, JSTOR, ERIC, PsycINFO, ProQuest…
Descriptors: Educational Technology, Telecommunications, Handheld Devices, Science Education
Al-Said, Khaleel – Education and Information Technologies, 2023
Amid the COVID-19 lockdown many countries have replaced traditional learning with remote or mobile one. It was noted that students' motivation has become much less with the transition to distance learning. This study analyzes how motivational processes influence mobile learning quality and aimed to analyze the factors boosted the motivation of…
Descriptors: Teacher Influence, Student Motivation, Electronic Learning, Handheld Devices
Ouyang, Ming – Education and Information Technologies, 2023
This study sought to evaluate the effectiveness of introducing digital software in music education to improve academic performance and solfeggio class attendance. To assess academic performance, a test consisting of 25 theoretical questions and 25 practical tasks was developed. The Bologna model was used as an assessment system. The groups were…
Descriptors: Telecommunications, Handheld Devices, Computer Assisted Instruction, Music Education
Goundar, Munil Shiva; Kumar, Bimal Aklesh – Education and Information Technologies, 2022
Higher education institutes are continuously exploiting technology to improve the delivery of courses. This paper reviews the use of mobile learning applications in higher education institutes to; i) identify publication trends, ii) types of mobile learning applications used, and iii) categorize the research papers published. The applied method is…
Descriptors: Electronic Learning, Technology Uses in Education, Higher Education, Computer Oriented Programs
Qu, Jia – Education and Information Technologies, 2021
Aiming at the challenges of mobile learning in the current big data environment and the current research status of teaching intelligent services(TIS), the article first explores the construction of mobile learning in the teaching intelligent service system(TISS) of colleges and universi-ties(C&U) from a big data driven perspective; secondly,…
Descriptors: Educational Research, Electronic Learning, Information Systems, Higher Education
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
Ng, Chiew Hong; Koh, Noi Keng; Ling, Hua Loon – Education and Information Technologies, 2021
This paper examines the incorporation of new literacies to an adapted framework by Parsons et al. in "Journal of Computers," 2(4), 1-8, (2007) to design mobile learning applications for "Elements of Business Skills (EBS)" for a group of lower academic ability secondary school learners in Singapore. Accounts of the actual…
Descriptors: Instructional Design, Secondary School Students, Middle School Students, Electronic Learning
Oakley, Grace; Pegrum, Mark; Kheang, Thida; Seng, Krisna – Education and Information Technologies, 2022
This paper reports on a mixed-methods study of the "Total Reading Approach for Children Plus" (TRAC+) program, with a particular focus on its mobile learning element, where tablets and an app called "Aan Khmer" (Read Khmer) were introduced into Cambodian schools to assist 'struggling students' in Grades 1 to 3 learn early…
Descriptors: Electronic Learning, Handheld Devices, Early Reading, Foreign Countries
Afacan Adanir, Gülgün; Muhametjanova, Gulshat – Education and Information Technologies, 2021
A key factor in the success of a technology is its use by target users. Therefore, the effectiveness of mobile learning depends on student acceptance. In this regard, the purpose of this study is to analyze the factors that influence university students' acceptance of mobile learning. This study is based on Technology Acceptance Model (TAM) and…
Descriptors: College Students, Student Attitudes, Technology Uses in Education, Telecommunications
Kumar, Bimal Aklesh; Sharma, Bibhya; Nakagawa, Elisa Yumi – Education and Information Technologies, 2022
Context-aware mobile learning applications provide learning materials to suit the needs of individual learners. Despite several applications developed, there is a lack of architectural support for developing these applications. This has resulted in a number of challenges; lack of standardization, poor quality of developed applications, and…
Descriptors: Computer Software, Telecommunications, Handheld Devices, Standards
Güler, Mustafa; Bütüner, Suphi Önder; Danisman, Sahin; Gürsoy, Kadir – Education and Information Technologies, 2022
The technological developments of the twenty-first century have enabled the emergence of alternative teaching-learning models and instructional tools. One of the concepts brought about by such developments is mobile learning. The aim of this study was to test the effect of mobile learning on students' mathematics achievement. A systematic database…
Descriptors: Electronic Learning, Mathematics Achievement, Educational Research, Instructional Effectiveness
Xue Yang – Education and Information Technologies, 2024
Mobile devices have increased exponentially in the past decades and the rapid development of digital technology has provided rich soil for the growth of mobile learning (m-learning), which is a more convenient means of learning because of no limitations of space and time. Applying the stimulus-organism-response (S-O-R) framework, this study…
Descriptors: Electronic Learning, Learning Processes, Stimuli, Attention Span
Kumar, Bimal Aklesh; Sharma, Bibhya; Nakagawa, Elisa Yumi – Education and Information Technologies, 2021
Context Aware Mobile Learning (CAML) provides a learning experience tailored to educational needs and the particular circumstance of the learner. CAML has become an active area of research. The aim of this paper is to provide an overview of research conducted on CAML through counting and classifying contributions. The applied method is a…
Descriptors: Context Effect, Electronic Learning, Educational Needs, Classification
Ratna Zuarni Ramli; Noraidah Sahari Ashaari; Siti Fadzilah Mat Noor; Mahanem Mat Noor; Elaheh Yadegaridehkordi; Nazatul Aini Abd Majid; Hadi Affendy Dahlan; Amelia Natasya Abdul Wahab – Education and Information Technologies, 2024
Learning Science, Technology, Engineering, and Mathematics (STEM) subjects in an online medium can be difficult and tedious. Lengthy facts with technical terms, complex images, and explanations are among the reasons that make STEM subjects less desirable among the current generation and degrade the students' learning experience. Students can be…
Descriptors: STEM Education, Online Courses, Educational Technology, Student Interests
Mohtar, Syahida; Jomhari, Nazean; Omar, Nor Azyra; Mustafa, Mumtaz Begum Peer; Yusoff, Zulkifli Mohd – Education and Information Technologies, 2023
Mobile learning and gamification are becoming increasingly popular, especially in education. Numerous researches suggest that mobile learning apps with gamification can improve student learning. However, there are fewer studies that analyze the gamification effects and usability of mobile apps for middle-aged women. The aim of this study is to…
Descriptors: Usability, Handheld Devices, Electronic Learning, Educational Technology