skip to main content
10.1145/3498765.3498801acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicetcConference Proceedingsconference-collections
research-article

Learning with Mobile Technologies: Their Potential to Enhance Well-being, Collaboration and Social Enrichment among Diverse Students

Published:08 February 2022Publication History

ABSTRACT

Technology for learning has shown great potential in increasing a student's academic achievement, performance, meaning, and well-being. It has also harvested a reputation for improving collaboration and socialization among student-student and student-teacher dyads. Evidence-based learning remains limited in learning with technology, showing whether students actually learn with digitized and mobilized technologies. Smartphones and mobile technologies continue to be the device of choice for young generations, namely those who occupy traditional classrooms and those who frequently engage in distance learning platforms. Employing Martin Seligman's Well-Being Theory (WBT), the PERMA model as the theoretical foundation for this research, will demonstrate how technology for learning presents a myriad of advantages and complexities where the multidimensions of well-being is concerned. The theoretical foundation would largely contribute to the trustworthiness of this literature. This research will focus on previous pieces of literature relevant to learning with technology, collaboration, socialization, and well-being. It will attempt to diversely fill the gap illustrated by Briz-Ponce et al. of what some of the drivers are that motivates learning and teaching with innovative and emergent technologies. It is suggested that future research take a diverse and demographic approach to show how knowledge acquisition with technology influences students’ well-being, academic achievement, and opportunities for collaboration and social wealth. More importantly, future research should be respectful of culture, race, age, community, or geographic location. Limitations of this study will be addressed.

References

  1. Boholano, H. B. (2017). Smart Social Networking: 21st Century Teaching and Learning Skills. Research in Pedagogy, 7(2), 21-29.Google ScholarGoogle ScholarCross RefCross Ref
  2. Al-Harassi, A. S., and Al-Badi, A. H. (2014). The Impact of Social Networking: A Study of the Influence of Smartphones on College Students. Contemporary Issues in Education Research, 7(2): 129-136.Google ScholarGoogle ScholarCross RefCross Ref
  3. Pearce, A. (2020). The Digital Gap Still Exists, Generationally, Rurally, and Academically. In 2020 12th International Conference of Education Technology and Computers (ICETC’20). Oct 23-26, 2020, London, United Kingdom, ACM, New York, NY. USA, 8 pages https://doi.org/10.1145/3436756.3437048Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Cox, M. J., and Marshall, G. (2007). Effects of ICT: Do we know what we should know? Education and Information Technologies, 12(1), 59-70.Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Briz-Ponce, L., Pereira, A., Carvalho, L., Juanes-Méndez, J. A., García-Peñalvo, F. J. (2017). Learning with mobile technologies-Students’ behavior. Computers in Human Behavior, 72(1), 612-620.Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Backfisch, I., Lachner, A., Stümer, K., and Scheiter, K. (2021). Variability of Teachers’ Technology Integration in the Classroom: A Matter of Utility! Computers & Education, 16(1), 1-21.Google ScholarGoogle Scholar
  7. Ratheeswari, K. (2018). Information Communication Technology in Education. Journal of Applied and Advanced Research, 3(Suppl. 1): S45-S47.Google ScholarGoogle ScholarCross RefCross Ref
  8. Ghaviferk, S., Kunjappan, T., Ramasamy, L., and Anthony, A. (2016). Teaching and Learning with ICT Tools: Issues and Challenges from Teachers Perceptions. Malaysian Online Journal of Educational Technology, 4(4), 38-57.Google ScholarGoogle Scholar
  9. Lai, M. K., Leung, C., Kwok, S. Y. C., Hui, A. N. N., Lo, H. H. M., Leung, J. T. Y., and Tam, C. H. L. (2018). A multidimensional PERMA-H positive education model, General Satisfaction of School Life, and Character Strengths use in Hong Kong Senior Primary School Students: Confirmatory Factor Analysis and Path Analysis using the APASO-II. Frontiers in Psychology, 9(1090), 1-11.Google ScholarGoogle Scholar
  10. Pearce, A. (2020). Socially-Oriented Technologies Attractability Influence on Individuals Academically and Neurologically. In 2020 12th International Conference of Education Technology and Computers (ICETC’20). Oct 23-26, 2020, London, United Kingdom, ACM, New York, NY. USA, 7 pages. https://doi.org/10.1145/3436756.3437040Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Hood, Y., Basil-Shachar, J., and Sagy, O. (2018). The Role of Productive Social Failure in Fostering Creative Collaboration: A Grounded Study Exploring a Classroom Learning Community. Thinking Skills and Creativity, 30(1): 154-159.Google ScholarGoogle Scholar
  12. LoGiudice, A. B., Pachai, A. M., and Kim, J. A. (2015). Testing Together: When do Students Learn more through Collaborative Testings? Scholarship of Teaching and Learning in Psychology, 1(4): 377-389Google ScholarGoogle ScholarCross RefCross Ref
  13. Nokes-Malach, T. J., Richey, J. E., and Gadgil, S. (2015). When is it better to Learn Together? Insight from Research on Collaborative Learning. Educational Psychology Review, 27(1): 645-656.Google ScholarGoogle ScholarCross RefCross Ref
  14. Christensen, R., Eichhorn, K., Prestridge, S., Petko, D., Sligte, H., Baker, R., Alayyar, G., & Knezek, G. (2018). Supporting Learning Leaders for the Effective Integration of Technology in Schools. Technology, Knowledge and Learning, 23(1), 457-472.Google ScholarGoogle ScholarCross RefCross Ref
  15. Kukulska-Hulme, A., and Viberg, O. (2017). Mobile Collaborative Language Learning: State of the Art. British Journal of Educational Technology, 49(2): 207-218.Google ScholarGoogle ScholarCross RefCross Ref
  16. Kang, H., & Lin, X. (2019). Lifelong Learning on the Go: English Language Mobile Learning in China. The Changing Vista of Adult and Lifelong Education in Asian Contexts: Theories and Practices from the East, 2019(162), 49-60.Google ScholarGoogle Scholar
  17. Yil-Jyrä, A. (2014). Optimal Learning Experiences in Language Technology Education. ResearchGate. https://www.researchgate.net/publication/325115222_Optimal_Learning_Experiences_in_Language_Technology_EducationGoogle ScholarGoogle Scholar
  18. Seligman, M. (2011). “Flourish: A Visionary New Understanding of Happiness and Well-being”. Free Press.Google ScholarGoogle Scholar
  19. Seligman, M. (2018). PERMA and the Building Blocks of Well-being. The Journal of Positive Psychology, 13(4): 333-335.Google ScholarGoogle ScholarCross RefCross Ref
  20. Vogel, E. A., Rose, J. P., Roberts, L. R., and Eckles, K. 2014. Social comparison, social media, and self-esteem. Psychology of Popular Media Culture, 3(4), 206-222.Google ScholarGoogle ScholarCross RefCross Ref
  21. Choi, H-H., van Merriënboer, J. J. G., and Paas, F. (2014). Effects of the Physical Environment on Cognitive Load and Learning: Towards a New Model of Cognitive Load. Psychology Review, 26(2), 225-244Google ScholarGoogle Scholar
  22. Peng, P., Barnes, M., Wang, C., Wang, W., Li, S., Swanson, H. L., Dardick, W., and Tao, S. (2018). A Meta-Analysis on the Relation Between Reading and Working Memory. Psychological Bulletin, 144(1): 48-76.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Learning with Mobile Technologies: Their Potential to Enhance Well-being, Collaboration and Social Enrichment among Diverse Students
          Index terms have been assigned to the content through auto-classification.

          Recommendations

          Comments

          Login options

          Check if you have access through your login credentials or your institution to get full access on this article.

          Sign in
          • Published in

            cover image ACM Other conferences
            ICETC '21: Proceedings of the 13th International Conference on Education Technology and Computers
            October 2021
            495 pages
            ISBN:9781450385114
            DOI:10.1145/3498765

            Copyright © 2021 ACM

            Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

            Publisher

            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 8 February 2022

            Permissions

            Request permissions about this article.

            Request Permissions

            Check for updates

            Qualifiers

            • research-article
            • Research
            • Refereed limited
          • Article Metrics

            • Downloads (Last 12 months)26
            • Downloads (Last 6 weeks)2

            Other Metrics

          PDF Format

          View or Download as a PDF file.

          PDF

          eReader

          View online with eReader.

          eReader

          HTML Format

          View this article in HTML Format .

          View HTML Format