Cited by 946Mobile Learning in EducationEducational Technology in LearningMobile and Web Applications

The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.

Review of trends from mobile learning studies: A meta-analysis

Wu, Wen-Hsiung, Jim Wu, Yen-Chun, Chen, Chun-Yu, Kao, Hao-Yun, Lin, Che-Hung, Huang, Sih-Han·2012·Computers & Education

DOI 10.1016/j.compedu.2012.03.016

Open this paper in CoChat — free account

Integrity signals

Registry

Crossref · 10.1016/j.compedu.2012.03.016

Cites

41 of 41 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Primary, Secondary, and Meta-Analysis of Research
GLASS, G. V. (1976) · Educational Researcher · doi:10.3102/0013189x005010003 · Cited by 4,890
Investigating the determinants and age and gender differences in the acceptance of mobile learning
Wang, Y., Wu, M., & Wang, H. (2008) · British Journal of Educational Technology · doi:10.1111/j.1467-8535.2007.00809.x · Cited by 1,308
Computer Gaming and Interactive Simulations for Learning: A Meta-Analysis
Vogel, J. J., Vogel, D. S., Cannon‐Bowers, J. A., Bowers, C. A., Muse, K., & Wright, M. (2006) · Journal of Educational Computing Research · doi:10.2190/flhv-k4wa-wpvq-h0ym · Cited by 941
The significance of disciplinary differences
Becher, T. (1994) · Studies in Higher Education · doi:10.1080/03075079412331382007 · Cited by 917
Using mobile phones in English education in Japan
Thornton, P., & Houser, C. (2005) · Journal of Computer Assisted Learning · doi:10.1111/j.1365-2729.2005.00129.x · Cited by 894
The effectiveness of m-learning in the form of podcast revision lectures in higher education
Evans, C. (2007) · Computers & Education · doi:10.1016/j.compedu.2007.09.016 · Cited by 857
Research trends in mobile and ubiquitous learning: a review of publications in selected journals from 2001 to 2010
Hwang, G., & Tsai, C. (2011) · British Journal of Educational Technology · doi:10.1111/j.1467-8535.2011.01183.x · Cited by 656
Mobile Learning
(2007) · Routledge eBooks · doi:10.4324/9780203003428 · Cited by 559
Learning in Adulthood: A Comprehensive Guide, 3rd ed. (San Francisco, CA: John Wiley & Sons/Jossey-Bass, 2007
Merriam, S. B., Caffarella, R. S., & Baumgartner, L. M. (2011) · Reflective practice · Cited by 535
Effectiveness of vocabulary learning via mobile phone
Lü, M. (2008) · Journal of Computer Assisted Learning · doi:10.1111/j.1365-2729.2008.00289.x · Cited by 490

Flagged first, then by citations

Show all 41 references

Research works printed but not linked: 5

*Chen, 2008, Personalized mobile English vocabulary learning system based on item response theory and learning memory cycle, Computers & Education, 51, 624, 10.1016/j.compedu.2007.06.011 · DOI
Franklin, 1999, Structure and domain-independence in the formal sciences, Studies in History and Philosophy of Sciences, 30, 721, 10.1016/j.compedu.2007.09.016 · DOI
*Hwang, 2009, A context-aware ubiquitous learning environment for conducting complex science experiments, Computer & Education, 53, 402, 10.1111/j.1467-8535.2011.01183.x · DOI
Mcconatha, 10.1111/j.1365-2729.2008.00289.x · DOI
Martin, 2011, New technology trends in education: seven years of forecasts and convergence, Computers & Education, 57, 1893, 10.1016/j.compedu.2011.04.003 · DOI

Sorted by citations

Advantages and challenges associated with augmented reality for education: A systematic review of the literature
Akçayır, M., & Akçayır, G. (2017) · Educational Research Review · doi:10.1016/j.edurev.2016.11.002 · Cited by 2,463
Mobile computing devices in higher education: Student perspectives on learning with cellphones, smartphones & social media
Gikas, J., & Grant, M. M. (2013) · The Internet and Higher Education · doi:10.1016/j.iheduc.2013.06.002 · Cited by 1,354
Online learning in higher education: exploring advantages and disadvantages for engagement
Dumford, A. D., & Miller, A. L. (2018) · Journal of Computing in Higher Education · doi:10.1007/s12528-018-9179-z · Cited by 963
Trends and development in technology-enhanced adaptive/personalized learning: A systematic review of journal publications from 2007 to 2017
Xie, H., Chu, H.-C., Hwang, G.-J., & Wang, C.-C. (2019) · Computers & Education · doi:10.1016/j.compedu.2019.103599 · Cited by 713
The use of mobile learning in higher education: A systematic review
Crompton, H., & Burke, D. (2018) · Computers & Education · doi:10.1016/j.compedu.2018.04.007 · Cited by 643
Technology Acceptance Model in M-learning context: A systematic review
Al-Emran, M., Mezhuyev, V., & Kamaludin, A. (2018) · Comput. Educ. · doi:10.1016/j.compedu.2018.06.008 · Cited by 624
Investigating users’ perspectives on e-learning: An integration of TAM and IS success model
Mohammadi, H. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2014.07.044 · Cited by 779
Exploring Students’ Acceptance of E-Learning Through the Development of a Comprehensive Technology Acceptance Model
Salloum, S. A., Qasim Mohammad Alhamad, A., Al-Emran, M., Abdel Monem, A., & Shaalan, K. (2019) · IEEE Access · doi:10.1109/access.2019.2939467 · Cited by 651
Mobile technology, learning, and achievement: Advances in understanding and measuring the role of mobile technology in education
Bernacki, M. L., Greene, J. A., & Crompton, H. (2019) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2019.101827 · Cited by 596
Impact of mobile technology on student attitudes, engagement, and learning
Heflin, H., Shewmaker, J. W., & Nguyen, J. (2017) · Computers & Education · doi:10.1016/j.compedu.2017.01.006 · Cited by 462
A systematic review of eye tracking research on multimedia learning
Alemdağ, E., & Çağıltay, K. (2018) · Computers & Education · doi:10.1016/j.compedu.2018.06.023 · Cited by 510
Research trends in the use of augmented reality in science education: Content and bibliometric mapping analysis
Arıcı, F., Yıldırım, P., Çaliklar, Ş., & Yılmaz, R. M. (2019) · Computers & Education · doi:10.1016/j.compedu.2019.103647 · Cited by 442
A Review of Research on Mobile Learning in Teacher Education
Baran, E. (2014) · Educational Technology & Society · Cited by 418
Mobile-based assessment: Investigating the factors that influence behavioral intention to use
Nikou, S. A., & Economides, A. A. (2017) · Computers & Education · doi:10.1016/j.compedu.2017.02.005 · Cited by 388
Mobile apps for science learning: Review of research
Zydney, J. M., & Warner, Z. B. (2015) · Computers & Education · doi:10.1016/j.compedu.2015.11.001 · Cited by 416
Flipped classroom in English language teaching: a systematic review
Turan, Z., & Çimen, B. A. (2019) · Computer Assisted Language Learning · doi:10.1080/09588221.2019.1584117 · Cited by 415
Gamification in mobile-assisted language learning: a systematic review of Duolingo literature from public release of 2012 to early 2020
Shortt, M., Tilak, S., Kuznetcova, I., Martens, B., & Akinkuolie, B. (2021) · Computer Assisted Language Learning · doi:10.1080/09588221.2021.1933540 · Cited by 554
Trends in mobile technology-supported collaborative learning: A systematic review of journal publications from 2007 to 2016
Fu, Q.-K., & Hwang, G. (2018) · Computers & Education · doi:10.1016/j.compedu.2018.01.004 · Cited by 325
Applications, impacts and trends of mobile technology-enhanced learning: a review of 2008-2012 publications in selected SSCI journals
Hwang, G.-J., & Wu, P. (2014) · International Journal of Mobile Learning and Organisation · doi:10.1504/ijmlo.2014.062346 · Cited by 348
Mobile and ubiquitous learning in higher education settings. A systematic review of empirical studies
Pimmer, C., Mateescu, M., & Gröhbiel, U. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.05.057 · Cited by 311
Cognitive load in multimedia learning environments: A systematic review
Bayraktar, D. M., Çoşğun, V., & Altan, T. (2019) · Computers & Education · doi:10.1016/j.compedu.2019.103618 · Cited by 364
Mobile learning for science and mathematics school education: A systematic review of empirical evidence
Bano, M., Zowghi, D., Kearney, M., Schuck, S., & Aubusson, P. (2018) · Computers & Education · doi:10.1016/j.compedu.2018.02.006 · Cited by 328
How is the use of technology in education evaluated? A systematic review
Lai, J. W. M., & Bower, M. (2019) · Computers & Education · doi:10.1016/j.compedu.2019.01.010 · Cited by 334
The use of mobile learning in PK-12 education: A systematic review
Crompton, H., Burke, D., & Gregory, K. (2017) · Computers & Education · doi:10.1016/j.compedu.2017.03.013 · Cited by 277
Research trends in mobile assisted language learning from 2000 to 2012
Duman, G. S., Orhon, G., & Gedik, N. (2014) · ReCALL · doi:10.1017/s0958344014000287 · Cited by 322
Understanding higher education learners' acceptance and use of mobile devices for language learning: A Rasch-based path modeling approach
Hoi, V. N. (2020) · Computers & Education · doi:10.1016/j.compedu.2019.103761 · Cited by 250
Leading to Intention: The Role of Attitude in Relation to Technology Acceptance Model in E-Learning
Hussein, Z. (2017) · Procedia Computer Science · doi:10.1016/j.procs.2017.01.196 · Cited by 250
The use of a mobile learning management system and academic achievement of online students
Han, I., & Shin, W. S. (2016) · Computers & Education · doi:10.1016/j.compedu.2016.07.003 · Cited by 238
Cross-cultural analysis of users' attitudes toward the use of mobile devices in second and foreign language learning in higher education: A case from Sweden and China
Viberg, O., & Grönlund, Å. (2013) · Computers & Education · doi:10.1016/j.compedu.2013.07.014 · Cited by 231
The Use of Mobile Learning in Science: A Systematic Review
Crompton, H., Burke, D., Gregory, K., & Gräbe, C. (2016) · Journal of Science Education and Technology · doi:10.1007/s10956-015-9597-x · Cited by 228
Acceptance and usage of mobile assisted language learning by higher education students
Botero, G. A. G., Questier, F., Cincinnato, S., He, T., & Zhu, C. (2018) · Journal of Computing in Higher Education · doi:10.1007/s12528-018-9177-1 · Cited by 221
Young children and tablets: A systematic review of effects on learning and development
Herodotou, C. (2017) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12220 · Cited by 208
A critical review of mobile learning integration in formal educational contexts
Pedro, L. F. M. G., Barbosa, C., & Santos, C. (2018) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-018-0091-4 · Cited by 229
Challenging mobile learning discourse through research: Student perceptions of Blackboard Mobile Learn and iPads
Kinash, S., Brand, J. E., & Mathew, T. (2012) · Australasian Journal of Educational Technology · doi:10.14742/ajet.832 · Cited by 203
Is mobile instant messaging (MIM) useful in education? Examining its technological, pedagogical, and social affordances
Tang, Y., & Hew, K. F. (2017) · Educational Research Review · doi:10.1016/j.edurev.2017.05.001 · Cited by 214
A double-edged sword? Exploring the impact of students’ academic usage of mobile devices on technostress and academic performance
Qi, C. (2019) · Behaviour and Information Technology · doi:10.1080/0144929x.2019.1585476 · Cited by 223
Testing the novelty effect of an m-learning tool on internalization and achievement: A Self-Determination Theory approach
Jeno, L. M., Vandvik, V., Eliassen, S., & Grytnes, J. (2018) · Computers & Education · doi:10.1016/j.compedu.2018.10.008 · Cited by 236
How Smart Are Smart Classrooms? A Review of Smart Classroom Technologies
Saini, M. K., & Goel, N. (2019) · ACM Computing Surveys · doi:10.1145/3365757 · Cited by 213
Using Smartphones as Experimental Tools—Effects on Interest, Curiosity, and Learning in Physics Education
Hochberg, K., Kühn, J., & Müller, A. (2018) · Journal of Science Education and Technology · doi:10.1007/s10956-018-9731-7 · Cited by 214
Effects of technology-enhanced language learning on reducing EFL learners’ public speaking anxiety
Chen, Y.-C. (2024) · Computer Assisted Language Learning · doi:10.1080/09588221.2022.2055083 · Cited by 189
Preservice teachers' perceptions about using mobile phones and laptops in education as mobile learning tools
Şad, S. N., & Göktaş, Ö. (2013) · British Journal of Educational Technology · doi:10.1111/bjet.12064 · Cited by 183
Difficulties in defining mobile learning: analysis, design characteristics, and implications
Grant, M. M. (2019) · Educational Technology Research and Development · doi:10.1007/s11423-018-09641-4 · Cited by 213
Prediction in MOOCs: A Review and Future Research Directions
Moreno-Marcos, P. M., Alario‐Hoyos, C., Muñoz‐Merino, P. J., & Kloos, C. D. (2018) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2018.2856808 · Cited by 180
Ubiquitous learning: A systematic review
Cárdenas-Robledo, L. A., & Peña‐Ayala, A. (2018) · Telematics and Informatics · doi:10.1016/j.tele.2018.01.009 · Cited by 170
Employing the technology acceptance model in social media: A systematic review
Al-Qaysi, N., Nordin, N. M., & Al‐Emran, M. (2020) · Education and Information Technologies · doi:10.1007/s10639-020-10197-1 · Cited by 199
A Systematic Review on Blockchain Adoption
Alshamsi, M., Al‐Emran, M., & Shaalan, K. F. (2022) · Applied Sciences · doi:10.3390/app12094245 · Cited by 187
In-service teachers' conceptions of mobile technology-integrated instruction: Tendency towards student-centered learning
Chen, C., & Tsai, C. (2021) · Computers & Education · doi:10.1016/j.compedu.2021.104224 · Cited by 159
Investigating teachers' adoption of signature mobile pedagogies
Kearney, M., Burden, K. J., & Rai, T. (2014) · Computers & Education · doi:10.1016/j.compedu.2014.08.009 · Cited by 157
The effect of a mobile-application tool on biology students' motivation and achievement in species identification: A Self-Determination Theory perspective
Jeno, L. M., Grytnes, J., & Vandvik, V. (2016) · Computers & Education · doi:10.1016/j.compedu.2016.12.011 · Cited by 183
Improving the English-speaking skills of young learners through mobile social networking
Sun, Z., Lin, C., You, J., Shen, H. J., Qi, S., & Luo, L. (2017) · Computer Assisted Language Learning · doi:10.1080/09588221.2017.1308384 · Cited by 155
The effects of m‐learning on motivation, achievement and well‐being: A Self‐Determination Theory approach
Jeno, L. M., Adachi, P. J. C., Grytnes, J., Vandvik, V., & Deci, E. L. (2018) · British Journal of Educational Technology · doi:10.1111/bjet.12657 · Cited by 166
Influential factors for mobile learning acceptance among Chinese users
Hao, S., Dennen, V. P., & Li, M. (2016) · Educational Technology Research and Development · doi:10.1007/s11423-016-9465-2 · Cited by 154
Adoption of mobile devices in teaching: changes in teacher beliefs, attitudes and anxiety
Chiu, T. K. F., & Churchill, D. (2015) · Interactive Learning Environments · doi:10.1080/10494820.2015.1113709 · Cited by 174
Fuzzy set analysis as a means to understand users of 21st-century learning systems: The case of mobile learning and reflections on learning analytics research
Pappas, I. O., Giannakos, M. N., & Sampson, D. G. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.10.010 · Cited by 155
Examining the Moderating Effect of Perceived Benefits of Maintaining Social Distance on E-learning Quality During COVID-19 Pandemic
Saxena, C., Baber, H., & Kumar, P. (2020) · Journal of Educational Technology Systems · doi:10.1177/0047239520977798 · Cited by 151
The use of a mobile learning management system at an online university and its effect on learning satisfaction and achievement
Shin, W. S., & Kang, M. (2015) · The International Review of Research in Open and Distributed Learning · doi:10.19173/irrodl.v16i3.1984 · Cited by 156
Social and individual antecedents of m-learning adoption in Iran
Mohammadi, H. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.03.006 · Cited by 157
The use of augmented reality games in education: a review of the literature
Koutromanos, G., Sofos, A., & Avraamidou, L. (2015) · Educational Media International · doi:10.1080/09523987.2015.1125988 · Cited by 144
A review of experimental mobile learning research in 2010–2016 based on the activity theory framework
Chung, C., Hwang, G., & Lai, C. (2018) · Computers & Education · doi:10.1016/j.compedu.2018.10.010 · Cited by 144
Bibliometric mapping of mobile learning
Göksu, İ. (2020) · Telematics and Informatics · doi:10.1016/j.tele.2020.101491 · Cited by 173
A Look at Research on Mobile Learning in K–12 Education From 2007 to the Present
Liu, M., Scordino, R., Geurtz, R., Navarrete, C. C., Ko, Y., & Lim, M. (2014) · Journal of Research on Technology in Education · doi:10.1080/15391523.2014.925681 · Cited by 141
Technological acceptance of LINE in flipped EFL oral training
Hsieh, J. C., Huang, Y., & Wu, W. V. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.12.066 · Cited by 154
The impact of m-learning technology on students and educators
Abachi, H., & Muhammad, G. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.06.018 · Cited by 136
Mobile phones in the classroom: Preservice teachers answer the call
O’Bannon, B. W., & Thomas, K. (2015) · Computers & Education · doi:10.1016/j.compedu.2015.02.010 · Cited by 135
Research Trends in Mobile Learning in Higher Education: A Systematic Review of Articles (2011 – 2015)
Krull, G., & Duart, J. M. (2017) · The International Review of Research in Open and Distributed Learning · doi:10.19173/irrodl.v18i7.2893 · Cited by 130
Mobile-based assessment: A literature review of publications in major referred journals from 2009 to 2018
Nikou, S. A., & Economides, A. A. (2018) · Computers & Education · doi:10.1016/j.compedu.2018.06.006 · Cited by 127
Exploring undergraduate students’ usage pattern of mobile apps for education
Wai, I., Ng, S. S. Y., Chiu, D. K. W., Ho, K. K. W., & Lo, P. (2016) · Journal of Librarianship and Information Science · doi:10.1177/0961000616662699 · Cited by 127
Comparing immersive Virtual Reality to mobile applications in foreign language learning in higher education: a quasi-experiment
Nicolaidou, I. A., Pissas, P., & Boglou, D. (2021) · Interactive Learning Environments · doi:10.1080/10494820.2020.1870504 · Cited by 125
Mobile learning and pedagogical opportunities: A configurative systematic review of PreK-12 research using the SAMR framework
Crompton, H., & Burke, D. (2020) · Computers & Education · doi:10.1016/j.compedu.2020.103945 · Cited by 123
Understanding the role of user resistance on mobile learning usage among university students
Kim, H., Lee, J.-M., & Rha, J. (2017) · Computers & Education · doi:10.1016/j.compedu.2017.05.015 · Cited by 140
Examining the Influence of a Mobile Learning Intervention on Third Grade Math Achievement
Kiger, D. M., Herro, D. C., & Prunty, D. (2012) · Journal of Research on Technology in Education · doi:10.1080/15391523.2012.10782597 · Cited by 121
An exploration of students' lived experiences of using smartphones in diverse learning contexts using a hermeneutic phenomenological approach
Chan, N. N., Walker, C., & Gleaves, A. (2015) · Computers & Education · doi:10.1016/j.compedu.2014.11.001 · Cited by 116
Impact of using classroom response systems on students' entrepreneurship learning experience
Wu, Y. J., Wu, T., & Li, Y. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.08.013 · Cited by 116
Understanding Undergraduate Students' Adoption of Mobile Learning Model: A Perspective of the Extended UTAUT2
Yang, S. (2013) · Journal of Convergence Information Technology · doi:10.4156/jcit.vol8.issue10.118 · Cited by 111
A framework to support educational decision making in mobile learning
Fulantelli, G., Taibi, D., & Arrigo, M. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.05.045 · Cited by 110
Role of gamification in classroom teaching: Pre-service teachers’ view
Mee, R. W. M., Shahdan, T. S. T., Ismail, M. R., Ghani, K. A., Pek, L. S., Von, W. Y., Woo, A., & Rao, Y. S. (2020) · International Journal of Evaluation and Research in Education (IJERE) · doi:10.11591/ijere.v9i3.20622 · Cited by 130
Understanding mobile learning: devices, pedagogical implications and research lines
Sánchez‐Prieto, J. C., Migueláñéz, S. O., & García‐Peñalvo, F. J. (2014) · Education in the Knowledge Society (EKS) · doi:10.14201/eks.11651 · Cited by 108
Factors that influence behavioral intention to use mobile‐based assessment: A STEM teachers’ perspective
Nikou, S. A., & Economides, A. A. (2018) · British Journal of Educational Technology · doi:10.1111/bjet.12609 · Cited by 108
Mobile technology and mathematics: effects on students’ attitudes, engagement, and achievement
Fabian, K., Topping, K. J., & Barron, I. G. (2015) · Journal of Computers in Education · doi:10.1007/s40692-015-0048-8 · Cited by 105
Measuring mobile learning readiness: scale development and validation
Lin, H., Lin, S., Yeh, C., & Wang, Y. (2016) · Internet Research · doi:10.1108/intr-10-2014-0241 · Cited by 124
Effects of mobile devices on K–12 students' achievement: a meta‐analysis
Tingir, S., Cavlazoglu, B., Çalışkan, Ö., Köklü, O., & Intepe-Tingir, S. (2017) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12184 · Cited by 123
Technology-enhanced mathematics instruction: A second-order meta-analysis of 30 years of research
Young, J. (2017) · Educational Research Review · doi:10.1016/j.edurev.2017.07.001 · Cited by 103
Teaching and Learning Physics with Smartphones
González, M. Á., González, M. Á., Martín, M. E., Llamas, C., Martinez, O., Vegas, J., Herguedas, M., & Hernández, C. (2015) · Journal of Cases on Information Technology · doi:10.4018/jcit.2015010103 · Cited by 103
Factors Influencing Student Acceptance of Mobile Learning in Higher Education
Fagan, M. H. (2019) · Computers in the Schools · doi:10.1080/07380569.2019.1603051 · Cited by 108
Mobile Learning Adoption: A Systematic Review of the Technology Acceptance Model from 2017 to 2020
Alsharida, R. A. F., Hammood, M. M., & Al‐Emran, M. (2021) · International Journal of Emerging Technologies in Learning (iJET) · doi:10.3991/ijet.v16i05.18093 · Cited by 101
Towards the refinement of forum and asynchronous online discussion in educational contexts worldwide: Trends and investigative approaches within a dominant research paradigm
Loncar, M., Barrett, N. E., & Liu, G. (2013) · Computers & Education · doi:10.1016/j.compedu.2013.12.007 · Cited by 99
Identifying emerging trends for implementing learning technology in special education: A state-of-the-art review of selected articles published in 2008–2012
Liu, G., Wu, N.-W., & Chen, Y. (2013) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2013.07.007 · Cited by 98
Determination of Critical Success Factors Affecting Mobile Learning: A Meta-Analysis ApproachPreprint
Alrasheedi, M., & Capretz, L. F. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1801.04288 · Cited by 97
Implementing mobile learning curricula in a grade level: Empirical study of learning effectiveness at scale
Looi, C., Sun, D., Wu, L., SEOW, P. S. K., Chia, G., Wong, L. H., Soloway, E. M., & Norris, C. (2014) · Computers & Education · doi:10.1016/j.compedu.2014.04.011 · Cited by 95
Inquiry‐based mobile learning in secondary school science education: A systematic review
Liu, C., Zowghi, D., Kearney, M., & Bano, M. (2020) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12505 · Cited by 95
Key themes in mobile learning: Prospects for learner-generated learning through AR and VR
Aguayo, C., Cochrane, T., & Narayan, V. (2017) · Australasian Journal of Educational Technology · doi:10.14742/ajet.3671 · Cited by 94
Predicting Student Outcomes in Online Courses Using Machine Learning Techniques: A Review
Alhothali, A., Albsisi, M., Assalahi, H. M., & Aldosemani, T. I. (2022) · Sustainability · doi:10.3390/su14106199 · Cited by 89
The effects of the intended behavior of students in the use of M-learning
Milošević, I. M., Živković, D. T., Manasijevic, D. M., & Nikolić, D. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.04.041 · Cited by 87
The Game Embedded CALL System to Facilitate English Vocabulary Acquisition and Pronunciation
Young, S. S., & Wang, Y. H. (2014) · Educational Technology & Society · Cited by 87
Taiwanese high school teachers' conceptions of mobile learning
Hsieh, W.-M., & Tsai, C. (2017) · Computers & Education · doi:10.1016/j.compedu.2017.07.013 · Cited by 86
Breaking with Tradition: A Scoping Meta‐Analysis Analyzing the Effects of Student‐Centered Learning and Computer‐Aided Instruction on Student Performance in Anatomy
Wilson, A. B., Brown, K., Misch, J., Miller, C. H., Klein, B. A., Taylor, M., Goodwin, M., Boyle, E. K., Hoppe, C. C., & Lazarus, M. D. (2018) · Anatomical Sciences Education · doi:10.1002/ase.1789 · Cited by 89
Digital Learning Environments in Higher Education: A Literature Review of the Role of Individual vs. Social Settings for Measuring Learning Outcomes
Kümmel, E., Moskaliuk, J., Creß, U., & Kimmerle, J. (2020) · Education Sciences · doi:10.3390/educsci10030078 · Cited by 111
Understanding students’ learning practices: challenges for design and integration of mobile technology into distance education
Viberg, O., & Grönlund, Å. (2015) · Learning Media and Technology · doi:10.1080/17439884.2016.1088869 · Cited by 92
Research on ICT in K-12 schools – A review of experimental and survey-based studies in computers & education 2011 to 2015
Pérez‐Sanagustín, M., Nussbaum, M., Hilliger, I., Alario‐Hoyos, C., Heller, R. S., Twining, P., & Tsai, C. (2016) · Computers & Education · doi:10.1016/j.compedu.2016.09.006 · Cited by 82
A Survey of Smart Classroom Literature
Kaur, A., Bhatia, M., & Stea, G. (2022) · Education Sciences · doi:10.3390/educsci12020086 · Cited by 106

Authors: Wu, W.-H., Jim Wu, Y.-C., Chen, C.-Y., Kao, H.-Y., Lin, C.-H., & Huang, S.-H.
Affiliations: Kaohsiung Medical University (TW)
Meiho University (TW)
Cheng Shiu University (TW)
National Kaohsiung University of Applied Sciences (TW)
Corresponding author: Wu, Wen-Hsiung
ORCID: Chen, Chun-Yu
Kao, Hao-Yun
Venue: Computers & Education
Publisher: Elsevier BV
Published: 2012-09
Volume: 59
Issue: 2
Pages: 817-827
ISSN: 0360-1315 (ISSN-L)
DOI: 10.1016/j.compedu.2012.03.016
OpenAlex: W2119797485
Cited by: 946
References: 41
Citations by year: 2026: 11 · 2025: 24 · 2024: 40 · 2023: 61 · 2022: 55 · 2021: 73 · 2020: 91 · 2019: 109 · 2018: 104 · 2017: 92 · 2016: 87 · 2015: 92 · 2014: 64 · 2013: 37 · 2012: 6
FWCI: 35.09
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Computers & Education (publishedVersion)
Funders: National Science Council
Topics: Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
Social Sciences › Education › Educational Technology in Learning
Physical Sciences › Computer Science › Information Systems › Mobile and Web Applications
Keywords: mobile learning, research trends, mobile learning system design, mobile devices, personal digital assistants

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Review of trends from mobile learning studies: A meta-analysis

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks