Mobile learning in grades K–12: A literature review

Yıl 2022, Cilt: 5 Sayı: 4 - ICETOL 2022 Special Issue, 1000 - 1029, 10.12.2022

Esma Çukurbaşı Çalışır Fırat Hayyam Sabuncu Tarık Kışla

https://doi.org/10.31681/jetol.1145967

Öz

Due to the widespread use of mobile technologies, their use of them in teaching processes has also increased. Within this framework, in this study, in-depth investigation of K-12 grades studies from 2015 to 2021 which were conducted on “mobile learning”, and “learning anywhere” published on “Web of Science” through specific criteria. A total of 4419 studies published only in English were accessed initially. Then, other keywords related to K-12 grades within the scope of the study were also searched, and 452 publications were reached. 336 studies that did not meet the inclusion criteria were excluded, and as a result, 109 studies were identified as primary studies. In this study, apart from the basic criteria used in previous literature review studies, criteria such as "reporting the prerequisite tests of the analyses used in the research", "validity, and reliability studies", "reporting the effect size", and "the existence of ethical, and legal permissions" are also included. The study could be considered important in terms of these additional criteria, and with its purpose of trying to reveal mobile learning tendencies.

Anahtar Kelimeler

Mobile Learning, Systematic Review, Elementary Education, Secondary Education

Kaynakça

• Akkoyunlu, B., Demirel, M., & Dağhan, G. (2018). Yaşam boyu öğrenme bağlamında mobil iletişim teknolojileri. B. Akkoyunlu, A. İşman & H. F. Odabaşı (eds.), Eğitim teknolojileri okumaları (pp. 614-632).
• Alsaadat, K. (2017). Mobile learning technologies. International Journal of Electrical and Computer Engineering, 7 (5), 2833–2837. doi:10.11591/ijece.v7i5.pp2833-2837
• Alsancak Sırakaya, D., & Seferoğlu, S. S., (2018). Türkiye’nin mobil öğrenme karnesi: İmkânlar, fırsatlar ve sorunlarla ilgili bir inceleme. İçinde B. Akkoyunlu, A. İşman & H. F. Odabaşı (eds.), Eğitim teknolojileri okumaları (pp. 492-508).
• Alsharida, R. A., Hammood, M. M., & Al-Emran, M. (2021). Mobile learning adoption: A systematic review of the technology acceptance model from 2017 to 2020. International Journal of Emerging Technologies in Learning, 16 (5), 147-162. doi:10.3991/ijet.v16i05.18093
• American Psychological Association. (2001). Publication manual of the American Psychological Association (5th ed.), Washington. doi: 10.1111/j.1552-3934.2011.02081.x
• Arnold, D. H., Chary, M., Gair, S. L., Helm, A. F., Herman, R., Kang, S., & Lokhandwala, S. (2021). A randomized controlled trial of an educational app to improve preschoolers’ emergent literacy skills. Journal of Children and Media, 15(4), 457-475. doi: 10.1080/17482798.2020.1863239
• Bano, M., Zowghi, D., Kearney, M., Schuck, S., & Aubusson, P. (2018). Mobile learning for science and mathematics school education: A systematic review of empirical evidence. Computers & Education, 121, 30-58. doi: 10.1016/j.compedu.2018.02.006
• Barry, S., Murphy, K., & Drew, S. (2015). From deconstructive misalignment to constructive alignment: exploring student uses of mobile technologies in university classrooms. Computers & Education, 81, 202-210. doi: 10.1016/j.compedu.2014.10.014
• Büyüköztürk, Ş., & Kutlu, Ö. (2006). Sosyal bilim araştırmalarında yöntem sorunu. Sosyal Bilimlerde Süreli Yayıncılık Birinci Ulusal Kurultay Bildirileri, (pp. 113-122).
• Chang, C. Y., Lai, C. L., & Hwang, G. J. (2018). Trends and research issues of mobile learning studies in nursing education: A review of academic publications from 1971 to 2016. Computers & Education, 116, 28–48. doi: 10.1016/j.compedu.2017.09.001
• Changa, K.-E., Wua, L.-J., Laia, S.-C., & Sungb, Y.-T. (2015). Using mobile devices to enhance the interactive learning for spatial geometry. Interactive Learning Environments, 24, 4, 916-934. doi: 10.1080/10494820.2014.948458
• Chee, K. N., Yahaya, N., Ibrahim, N. H., & Noor Hassan, M. (2017). Review of Mobile Learning Trends 2010-2015: A Meta-Analysis. Educational Technology & Society, 20 (2), 113–126.
• Chen, H.-J. (2019). Exploring the role of m-learning in elementary education. Journal of Information Technology Education: Research, 16, 459-474. doi: 10.28945/3873
• Chen, M.-P., Wang, L.-C., Zou, D., Lin, S.-Y., & Xie, H. (2019). Effects of caption and gender on junior high students’ EFL learning from iMap-enhanced contextualized learning. Computers & Education, 140, 103602. doi: 10.1016/j.compedu.2019.103602
• Cheung, C. K., & Slavin, R. E. (2013). The effectiveness of educational technology applications for enhancing mathematics achievement in K-12 classrooms: A meta-analysis. Educational Research Review, 9, 88–113. doi: 10.1016/j.edurev.2013.01.001
• Christensen, R., & Knezek, G. (2017). Readiness for integrating mobile learning in the classroom: Challenges, preferences and possibilities. Computers in Human Behavior, 76(C), 112-121. doi: 10.1016/j.chb.2017.07.014
• Choi, G. W., Land, S. M., & Zimmerman, H. T. (2018). Investigating children's deep learning of the tree life cycle using mobile technologies. Computers in Human Behavior, 87, 470-479. doi: 10.1016/j.chb.2018.04.020
• Criollo-C, S., Guerrero-Arias, A., Jaramillo-Alcázar, Á., & Luján-Mora, S. (2021). Mobile learning technologies for education: Benefits and pending issues. Applied Sciences, 11, 4111. doi: 10.3390/app11094111
• Crompton, H. (2013). A historical overview of mobile learning: Toward learner-centered education. In Z. L. Berge, & L. Y. Muilenburg (Eds.), Handbook of mobile learning (pp. 3e14). doi: 10.4324/9780203118764
• Crompton, H., & Burke, D. (2020). Mobile learning and pedagogical opportunities: A configurative systematic review of PreK-12 research using the SAMR framework. Computers & Education, 156, 103945. doi: 10.1016/j.compedu.2020.103945
• Crompton, H., & Burke, D. (2015). Research trends in the use of mobile learning in mathematics [Special Issue]. International Journal of Mobile and Blended Learning, 7(4), 1–15. doi: 10.4018/IJMBL.2015100101
• Crompton, H., & Burke, D. (2018). The use of mobile learning in higher education: A systematic review. Computers & Education, 123, 58-64. doi: 10.1016/j.compedu.2018.04.007
• Crompton, H., Burke, D., & Gregory, K. H. (2017). The use of mobile learning in PK-12 education: A systematic review. Computers & Education, 110, 51-63. doi: 10.1016/j.compedu.2017.03.013
• Crompton, H., Burke, D., Gregory, K. H., & Gräbe, C. (2016). The use of mobile learning in science: A systematic review. Journal of Science Education and Technology, 25(2), 149-160. doi: 10.1007/s10956-015-9597-x
• Crompton, H., Burke, D., & Lin, Y. C. (2019). Mobile learning and student cognition: A systematic review of PK‐12 research using Bloom’s Taxonomy. British Journal of Educational Technology, 50(2), 684-701. doi: 10.1111/bjet.12674
• Diacopoulos, M. M., & Crompton, H. (2020). A systematic review of mobile learning in social studies. Computers & Education, 154, 103911. doi: 10.1016/j.compedu.2020.103911
• Educause (2019). EDUCAUSE Horizon Report 2019 Higher Education Edition. https://library.educause.edu/-/media/files/library/2019/4/2019horizonreport
• Evans, C. (2008) The effectiveness of m-learning in the form of podcast revision lectures in higher education. Computers & Education, 50, 491-498. doi: 10.1016/j.compedu.2007.09.016
• Fabian, K. (2015). Maths and mobile technologies: ield, UKStudent attitudes and perceptions. 14th European Conference on e-Learning ECEL-2015 Hatf.
• Felisoni, D. D., & Godoi, A. S. (2018). Cell phone usage and academic performance: An experiment. Computers & Education, 117, 175-187. doi: 10.1016/j.compedu.2017.10.006
• Fokides, E., Atsikpasi, P., & Karageurgou, D. (2020). Tablets, plants, and primary school students: A study. Technology, Knowledge and Learning, 25, 621–649. doi: 10.1007/s10758-020-09445-7
• Ghasemi, A., & Zahediasl, S. (2012). Normality tests for statistical analysis: A guide for non-statisticians. International Journal of Endocrinology Metabolism, 10(2), 486-489. doi: 10.5812/ijem.3505
• Hao, Y., Lee, K. S., Chen, S.-T., & Sim, S. C. (2019). An evaluative study of a mobile application for middle school students struggling with English vocabulary learning. Computers in Human Behavior, 95, 208-216. doi: 10.1016/j.chb.2018.10.013
• Hashemi, M., Azizinezhad, M., Najafi, V., & Nesari, A.J. (2011). Retracted: What is mobile learning? Challenges and capabilities. Procedia Social and Behavioral Sciences, 30, 2477–2481. doi: 10.1016/j.sbspro.2011.10.483
• Hwang, G.-J. & Wu, P.-H. (2014). Applications, impacts and trends of mobile technology-enhanced learning: A review of 2008-2012 publications in selected SSCI journals. International Journal of Mobile Learning and Organisation, 8(2), 83-95. doi: 10.1504/IJMLO.2014.062346
• Hwang, W.-Y., Utami, I. Q., Purba, S. W. D., & Chen, H. S. L. (2020). Effect of ubiquitous fraction app on mathematics learning achievements and learning behaviors of Taiwanese students in authentic contexts. IEEE Transactions on Learning Technologies, 13(3), 530-539. doi: 10.1109/TLT.2019.2930045
• Hwang, G.-J., & Tsai, C.-C. (2011). Research trends in mobile and ubiquitous learning: A review of publications in selected journals from 2001 to 2010. British Journal of Educational Technology, 42(4), E65-E70. doi: 10.1111/j.1467-8535.2011.01183.x
• Kavaklı, A., & Yakın, İ. (2019). Mobil learning: A content analysis of publications from 2015–2019. The Black Sea Journal of Social Sciences, 11(21), 251-268.
• Khaddage, F., Müller, W., & Flintoff, K. (2016). Advancing mobile learning in formal and informal settings via mobile app technology: Where to from here, and how? Educational Technology & Society, 19(3), 16–26.
• Kitchenham, B., & Charters, S. (2007). Guidelines for performing systematic literature reviews in software engineering. Keele University and University of Durham Joint Report, 2, 1051. https://www.researchgate.net/profile/Barbara-Kitchenham/publication/302924724_Guidelines_for_performing_Systematic_Literature_Reviews_in_Software_Engineering/links/61712932766c4a211c03a6f7/Guidelines-for-performing-Systematic-Literature-Reviews-in-Software-Engineering.pdf
• Klopfer, E., Squire, K., & Jenkins, H. (2002). Environmental detectives PDAs as a window into a virtual simulated world. IEEE International Workshop on Wireless and Mobile Technologies in Education, 95-98. doi: 10.1109/WMTE.2002.1039227
• Kurnaz, H. (2010). Mobil öğrenme özelliğinin öğrenciler tarafından kullanılabilirliği. Yüksek Lisans Tezi, Sakarya Üniversitesi.
• Lai, C.-L. (2020). Trends of mobile learning: a review of the top 100 highly cited papers. British Journal of Educational Technology, 51(3): 721-742. doi: 10.1111/bjet.12884
• Liang H.-Y., Hsu, T.-Y., Hwang, G.-J., Chang, S.-C., & Chu, H.-C. (2021). A mandatory contribution-based collaborative gaming approach to enhancing students’ collaborative learning outcomes in Science museums. Interactive Learning Environments, (pp. 1-15). doi: 10.1080/10494820.2021.1897845
• Liu, C., Zowghi, D., Kearney M., & Bano, M. (2021). Inquiry-based mobile learning in secondary school science education: A systematic review. Journal of Computer Assisted Learning, 37 (1), 1-23. doi: 10.1111/jcal.12505
• Liu, M., Scordino, R., Geurtz, R., Navarrete, C., Ko, Y., & Lim, M. (2014). A look at research on mobile learning in K-12 education from 2007 to the present. Journal of Research on Technology on Education, 46(4), 325–372. doi: 10.1080/15391523.2014.925681
• López-Faican, L., & Jaen, J. (2020). EmoFindAR: Evaluation of a mobile multiplayer augmented reality game for primary school children. Computers & Education, 149, 103814. doi: 10.1016/j.compedu.2020.103814
• Low, L., & O’Connell, M. (2006, September). Learner-centric design of digital mobile learning. In Proceedings of the OLT Conference, 71-82. doi: 10.1.1.123.48&rep=rep1&type=pdf
• Masrom, V. B., Busalim, A. H., Abuhassna, H., & Mahmood, N. H. N. (2021). Understanding students’ behavior in online social networks: A systematic literature review. International Journal of Educational Technology in Higher Education, 18, 6.
• McQuiggan, S., McQuiggan, J., Kosturko, L., & Sabourin, J. (2015). Mobile learning: A handbook for developers, editors, and learners. https://www.wiley.com /en-us/Mobile+Learning:+A+Handbook+for+Developers,+Educators,+and+Learners-p-9781118894286
• Mierlus-Mazilu, I. (2010). M-learning Objects. In Proceedings of the 2010 International Conference on Electronics and Information Engineering, Kyoto, Japan.
• Moya, S., & Camacho, M. (2021). Identifying the key success factors for the adoption of mobile learning. Education and Information Technologies, 26(4), 3917-3945.
• NHS Centre for Reviews and Dissemination. (2001). Undertaking systematic reviews of research on effectiveness: CRD's guidance for those carrying out or commissioning reviews. CRD Report 4 (2nd ed.).
• O’Bannon, B. W., & Thomas, K. M. (2015). Mobile phones in the classroom: Preservice teachers answer the call. Computers & Education, 85, 110-122. doi: 10.1016/j.compedu.2015.02.010
• Oakley, A. (2012). Foreword. In D. Gough, S. Oliver, & J. Thomas (Eds.), An introduction to systematic reviews, 7-11. SAGE.
• Pagano, R. R. (2007). Understanding statistics in the behavioral sciences (8th ed.). Belmont, CA: Thomson Higher Education.
• Project Tomorrow (2012). Learning in the 21st century: Mobile devices + social media = personalized learning. http://www.tomorrow.org/speakup/MobileLearningReport2012.html
• Qureshi, M. I., Khan, N., Gillani, M. A. H., & Raza, H. (2020). A systematic review of past decade of mobile learning: What we learned and where to go. International Journal of Interactive Mobile Technologies, 14(6), 67-80. doi: 10.3991/ijim.v14i06.13479
• Sandelowski, M., Voils, C. I., Leeman, J., & Crandell, J. L. (2011). Mapping the mixed methods–Mixed research synthesis terrain. Journal of Mixed Methods Research, 6(4), 317-331. doi: 10.1177%2F1558689811427913
• Sharples, M. (2000). The design of personal mobile technologies for lifelong learning. Computers and Education, 34, 177-193. doi: 10.1016/S0360-1315(99)00044-5
• Shih, J.-L., Chuang, C.-W., & Hwang, G.-J. (2010). An inquiry-based mobile learning approach to enhancing social science learning effectiveness. Educational Technology & Society, 13(4), 50-62.
• Song, Y. (2014). “Bring your own device (BYOD)” for seamless science inquiry in a primary school. Computers & Education, 74, 50–60. doi: 10.1016/j.compedu.2014.01.005
• Sönmez, A., Göçmez, L., Uygun, D., & Ataizi, M. (2018). A review of current studies of mobile learning. Journal of Educational Technology & Online Learning, 1(1), 13-27.
• Sung, Y.-T., Chang, K.-E., & Liu, T.-C. (2016). The effects of integrating mobile devices with teaching and learning on students' learning performance: A meta-analysis and research synthesis. Computers & Education, 94, 252–275. doi: 10.1016/j.compedu.2015.11.008
• Sung, Y. T., Lee, H. Y., Yang, J. M., & Chang, K. E. (2019). The quality of experimental designs in mobile learning research: A systemic review and self-improvement tool. Educational Research Review, 28, 100279. doi: 10.1016/j.edurev.2019.05.001
• Suswanto, H., Nidhom, A. M., & Putra, A. B. N. R. (2017). Developing a digital learning medium using JQuery mobile for vocational high school students. 1st International Conference on Vocational Education And Training (ICOVET 2017). doi: 10.2991/icovet-17.2017.31
• Tarng, W., Lin, Y.-S., Lin, C.-P., & Ou, K.-L. (2016). Development of a lunar-phase observation system based on augmented reality and mobile learning technologies. Mobile Information Systems, 1, 1-12. doi: 10.1155/2016/8352791
• Teddlie, C., & Tashakkori, A., (2009). Foundations of mixed methods research: Integrating quantitative and qualitative approaches in the social and behavioral sciences. Sage publications.
• Tekdal, M., & Saygıner, Ş. (2016). Öğrenme ve öğretme sürecinde mobil teknolojilerin kullanımı. In Presıdent Of The Symposıum, (p. 1).
• Torres-Madroñero, E. M., Torres-Madroñero, M. C., & Botero, L. D. R. (2020). Challenges and possibilities of ICT-mediated assessment in virtual teaching and learning processes. Future Internet, 12 (12), 232. doi: 10.3390/fi12120232
• Traxler, J. (2007). Defining, discussing and evaluating mobile learning: The moving finger writes and having writ.... International Review of Research in Open and Distance Learning, 8(2). doi: 10.19173/irrodl.v8i2.346
• Tsai, C.-H., Cheng, C.-H., Yeh, D.-Y., & Lin, S.-Y. (2017). Can learning motivation predict learning achievement? A case study of a mobile game-based English learning approach. Education and Information Technologies, 22, 2159–2173. doi: 10.1007/s10639-016-9542-5
• Uman L. S. (2011). Systematic reviews and meta-analyses. Journal of the Canadian Academy of Child and Adolescent Psychiatry = Journal de l'Academie canadienne de psychiatrie de l'enfant et de l'adolescent, 20(1), 57–59.
• Uygun, D., & Sönmez, A. (2019). A content analysis of current studies on mobile learning. Journal of Open Education Practices and Research, 5(1), 53-69.
• Williams, N. L., & Larwin, K. H. (2016). 1:1 computing and student achievement in Ohio high schools. Journal of Research on Technology in Education, 48(3), 143–158. doi: 10.1080/15391523.2016.1175857
• Wu, W. H., Wu, Y. C. J., Chen, C. Y., Kao, H. Y., Lin, C. H., & Huang, S. H. (2012). Review of trends from mobile learning studies: A meta-analysis. Computers & Education, 59(2), 817-827. doi: 10.1016/j.compedu.2012.03.016
• Xie, J., Basham, J. D., Marino, M. T., & Rice, M. F. (2018). Reviewing research on mobile learning in K–12 educational settings: Implications for students with disabilities. Journal of Special Education Technology, 33(1), 27-39. doi: 10.1177%2F0162643417732292
• Yip, C., Han, N.-L. R., & Sng, B. L. (2016). Legal and ethical issues in research. Indian Journal of Anaesthesia, 60(9), 684–688. doi: 10.4103/0019-5049.190627
• Zander, S., Wetzel, S., & Bertel, S. (2016). Rotate it! - Effects of touch-based gestures on elementary school students' solving of mental rotation tasks. Computers & Education, 103, 158-169. doi: 10.1016/j.compedu.2016.10.007
• Zydney, J. M., & Warner, Z. (2016). Mobile apps for science learning: Review of research. Computers & Education, 94, 1-17. doi: 10.1016/j.compedu.2015.11.001