Evaluating the future of digital and Face-to-Face Communication on student motivation: Implications for human resource roles in AI-driven Oman higher education

Boumedyen Shannaq, Mohanaad Shakir, Shama Al maqbali, Hiba al Shukaili, Fatima Ail

Article ID: 9655
Vol 8, Issue 15, 2024

VIEWS - 757 (Abstract)

Abstract


The present research focuses on researching the impact of the diverse communication media that facilitate or develop Student Motivation and Engagement in the educational systems of the states in the Gulf, especially Oman. The main goal of this work is to determine which type of method is most effective in encouraging students in view of cultural and technological factors present in the region. Comparisons using hypothesis testing and structural models which provided higher T value for Technology-Based Communication Methods (TBCM) and Human Face-to-Face Communication Methods (HFtFCM). Next, the research hypothesis H2 that TBCM has a direct positive relationship with SMaE was supported by the following regression coefficients: β = 0.177, t = 4.493; p = 0.000. On the other hand, there was no effect of HFtFCM on SMaE as indicated by a regression coefficient of 0.056 (p < 0.124) for this hypothesis and therefore, this hypothesis was rejected. The analysis using the mediator of Student Perception of Communication Effectiveness (SPoCE) only partly mediates TBCM and SMaE (β = 0.047, t = 3.737, p = 0.000). However, SPoCE was found not to moderate the relationship between HFtFCM and SMaE (β = −0.01, t = 1.125, p = 0.005). The present study underlines the efficiency of TBCM in the area of student engagement, while face-to-face conversation does not play significant part in this process. The obtain results conclude that, the traditional and technological evolution in the Gulf region supports the adoption of TBCM in educational systems. Such approaches support with the technological learning and likings of students, offering greater flexibility and engagement. Educational systems must highlight TBCM to better meet the growing needs of their student, while identifying that face-to-face remains important, though secondary, in energetic motivation.


Keywords


technology-based communication methods; human face-to-face communication methods; student perception of communication effectiveness; student motivation and engagement; Oman higher education

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References

  1. Abdullah, M. Y., Hussin, S., Shakir, M. (2018). The effect of peers’ and teacher’s e-feedback on writing anxiety level through CMC applications. International Journal of Emerging Technologies in Learning (Online), 13(11), 196.
  2. Ahmadi, A., Noetel, M., Parker, P., et al. (2023). A classification system for teachers’ motivational behaviors recommended in self-determination theory interventions. Journal of Educational Psychology. https://psycnet.apa.org/record/2023-72662-001
  3. Ahuja, A. S., Polascik, B. W., Doddapaneni, D., et al. (2023). The digital metaverse: Applications in artificial intelligence, medical education, and integrative health. Integrative Medicine Research, 12(1), 100917.
  4. Al Matari, A. S., Mukit, A., Al Saadi, S., et al. (2023). Artificial intelligence and the future of teaching in higher education at A’Sharqiyah University (ASU) in Oman. Proceeding International Pelita Bangsa, 1(01), 182–200.
  5. AL-Hashimi, M., Shakir, M., Hammood, M., Eldow, A. (2017). Address the challenges of implementing electronic document system in iraq e-government-tikrit city as a case study. Journal of Theoretical & Applied Information Technology, 95(15).
  6. Al-Shamsi, I. R., Shannaq, B., Adebiaye, R., Owusu, T. (2024). Exploring biometric attendance technology in the Arab academic environment: Insights into faculty loyalty and educational performance in policy initiatives. Journal of Infrastructure, Policy and Development, 8(9), 6991. https://doi.org/10.24294/jipd.v8i9.6991
  7. Alshamsi, I., Sadriwala, K. F., Ibrahim Alazzawi, F. J., Shannaq, B. (2024). Exploring the impact of generative AI technologies on education: Academic expert perspectives, trends, and implications for sustainable development goals. Journal of Infrastructure, Policy and Development, 8(11), 8532. https://doi.org/10.24294/jipd.v8i11.8532
  8. Arai, K. (2024). Advances in Information and Communication: Proceedings of the 2024 Future of Information and Communication Conference (FICC), Volume 3 (Vol. 921). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-54053-0
  9. Arto, M. (2021). A multidimensional model of interaction as a framework for a phenomenon-driven approach to communication. Russian Journal of Linguistics, 25(2), 369–390.
  10. Asselman, A., Khaldi, M., Aammou, S. (2023). Enhancing the prediction of student performance based on the machine learning XGBoost algorithm. Interactive Learning Environments, 31(6), 3360–3379. https://doi.org/10.1080/10494820.2021.1928235
  11. Ataguba, O. A., Ataguba, J. E. (2020). Social determinants of health: The role of effective communication in the COVID-19 pandemic in developing countries. Global Health Action, 13(1), 1788263. https://doi.org/10.1080/16549716.2020.1788263
  12. Awwad, B. (2024). The AI Revolution: Driving Business Innovation and Research: Volume 2 (Vol. 525). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-54383-8
  13. Bai̇Doo-Anu, D., Owusu Ansah, L. (2023). Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning. Journal of AI, 7(1), 52–62. https://doi.org/10.61969/jai.1337500
  14. Bond, M., Buntins, K., Bedenlier, S., et al. (2020). Mapping research in student engagement and educational technology in higher education: A systematic evidence map. International Journal of Educational Technology in Higher Education, 17(1), 2. https://doi.org/10.1186/s41239-019-0176-8
  15. Bruggeman, B., Tondeur, J., Struyven, K., et al. (2021). Experts speaking: Crucial teacher attributes for implementing blended learning in higher education. The Internet and Higher Education, 48, 100772.
  16. Cantor, P., Lerner, R. M., Pittman, K. J., et al. (2021). Whole-child development, learning, and thriving: A dynamic systems approach. Cambridge University Press. https://www.cambridge.org/core/elements/wholechild-development-learning-and-thriving/67237E6CA30DAD7D1707057EEFD3E8D0
  17. Caskurlu, S., Maeda, Y., Richardson, J. C., Lv, J. (2020). A meta-analysis addressing the relationship between teaching presence and students’ satisfaction and learning. Computers & Education, 157, 103966.
  18. Chon, M.-G., Park, H. (2021). Predicting Public Support for Government Actions in a Public Health Crisis: Testing Fear, Organization-Public Relationship, and Behavioral Intention in the Framework of the Situational Theory of Problem Solving. Health Communication, 36(4), 476–486. https://doi.org/10.1080/10410236.2019.1700439
  19. Cole, A. W., Lennon, L., Weber, N. L. (2021). Student perceptions of online active learning practices and online learning climate predict online course engagement. Interactive Learning Environments, 29(5), 866–880. https://doi.org/10.1080/10494820.2019.1619593
  20. Eldow, A., Alsharida, R. A., Hammood, M., et al. (2021). Information Communication Technology Infrastructure in Sudanese Governmental Universities. In M. Al-Emran, K. Shaalan, & A. E. Hassanien (Eds.), Recent Advances in Intelligent Systems and Smart Applications (Vol. 295, pp. 363–375). Springer International Publishing. https://doi.org/10.1007/978-3-030-47411-9_20
  21. Gajendran, R. S., Loewenstein, J., Choi, H., Ozgen, S. (2022). Hidden costs of text-based electronic communication on complex reasoning tasks: Motivation maintenance and impaired downstream performance. Organizational Behavior and Human Decision Processes, 169, 104130. https://doi.org/10.1016/j.obhdp.2022.104130
  22. Hamdan, K. M., Al-Bashaireh, A. M., Zahran, Z., et al. (2021). University students’ interaction, Internet self-efficacy, self-regulation and satisfaction with online education during pandemic crises of COVID-19 (SARS-CoV-2). International Journal of Educational Management, 35(3), 713–725.
  23. Hinze, A., Vanderschantz, N., Timpany, C., et al. (2023). A Study of Mobile App Use for Teaching and Research in Higher Education. Technology, Knowledge and Learning, 28(3), 1271–1299. https://doi.org/10.1007/s10758-022-09599-6
  24. Jiang, H., Islam, A. Y. M. A., Gu, X., Spector, J. M. (2021). Online learning satisfaction in higher education during the COVID-19 pandemic: A regional comparison between Eastern and Western Chinese universities. Education and Information Technologies, 26(6), 6747–6769. https://doi.org/10.1007/s10639-021-10519-x
  25. Kilinc, H., Goksel, N. (2024). Intrinsic motivation of distance learners in higher education institutions. Turkish Online Journal of Distance Education, 25(4), Article 4. https://doi.org/10.17718/tojde.1384577
  26. Kumar, P., Saxena, C., Baber, H. (2021). Learner-content interaction in e-learning- the moderating role of perceived harm of COVID-19 in assessing the satisfaction of learners. Smart Learning Environments, 8(1), 5. https://doi.org/10.1186/s40561-021-00149-8
  27. Martela, F., Ryan, R. M. (2023). Clarifying Eudaimonia and Psychological Functioning to Complement Evaluative and Experiential Well-Being: Why Basic Psychological Needs Should Be Measured in National Accounts of Well-Being. Perspectives on Psychological Science, 18(5), 1121–1135. https://doi.org/10.1177/17456916221141099
  28. Miranda, J., Navarrete, C., Noguez, J., et al. (2021). The core components of education 4.0 in higher education: Three case studies in engineering education. Computers & Electrical Engineering, 93, 107278. https://doi.org/10.1016/j.compeleceng.2021.107278
  29. Nafisah, A., Juniarni, C., Almujahid, A., et al. (2024). Reimagining Education in the Post-COVID-19 Era: Embracing Technology, Promoting Resilience, and Fostering Equity. Education Studies and Teaching Journal (EDUTECH), 1(3), 353–367.
  30. Nashruddin, N., Alam, F. A., Tanasy, N. (2020). Perceptions of teacher and students on the Use of e-mail as a medium in distance learning. Berumpun: International Journal of Social, Politics, and Humanities, 3(2), 182–194.
  31. Ng, D. T. K., Luo, W., Chan, H. M. Y., Chu, S. K. W. (2022). Using digital story writing as a pedagogy to develop AI literacy among primary students. Computers and Education: Artificial Intelligence, 3, 100054.
  32. Núñez-Canal, M., de Obesso, M. de las M., Pérez-Rivero, C. A. (2022). New challenges in higher education: A study of the digital competence of educators in Covid times. Technological Forecasting and Social Change, 174, 121270.
  33. Rashid Al-Shamsi, I., Shannaq, B. (2024). Leveraging clustering techniques to drive sustainable economic innovation in the India–Gulf interchange. Cogent Social Sciences, 10(1), 2341483. https://doi.org/10.1080/23311886.2024.2341483
  34. Rodríguez-Fernández, A., Vázquez-Cancela, O., Piñeiro-Lamas, M., et al. (2023). Magnitude and determinants of inappropriate prescribing of antibiotics in dentistry: A nation-wide study. Antimicrobial Resistance & Infection Control, 12(1), 20. https://doi.org/10.1186/s13756-023-01225-z
  35. Ryan, R. M., Deci, E. L. (2020). Intrinsic and extrinsic motivation from a self-determination theory perspective: Definitions, theory, practices, and future directions. Contemporary Educational Psychology, 61, 101860.
  36. Sabbir, Md. M., Taufique, K. M. R. (2022). Sustainable employee green behavior in the workplace: Integrating cognitive and non‐cognitive factors in corporate environmental policy. Business Strategy and the Environment, 31(1), 110–128. https://doi.org/10.1002/bse.2877
  37. Saini, D. K., Salim Al-Mamri, M. R. (2019). Investigation of Technological Tools used in Education System in Oman. Social Sciences & Humanities Open, 1(1), 100003. https://doi.org/10.1016/j.ssaho.2019.100003
  38. Shakir, M., Al Farsi, M. J., et al. (2024). The Influence of Mobile Information Systems Implementation on Enhancing Human Resource Performance Skills: An Applied Study in a Small Organization. | International Journal of Interactive Mobile Technologies | EBSCOhost. https://doi.org/10.3991/ijim.v18i13.47027
  39. Shannaq, B. (2024a). Digital Formative Assessment as a Transformative Educational Technology. In K. Arai (Ed.), Advances in Information and Communication (Vol. 921, pp. 471–481). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-54053-0_32
  40. Shannaq, B. (2024b). Unveiling the Nexus: Exploring TAM Components Influencing Professors’ Satisfaction With Smartphone Integration in Lectures: A Case Study From Oman. TEM Journal, 2365–2375. https://doi.org/10.18421/TEM133-63
  41. Shannaq, B., Adebiaye, R., Owusu, T., Al-Zeidi, A. (2024). An intelligent online human-computer interaction tool for adapting educational content to diverse learning capabilities across Arab cultures: Challenges and strategies. Journal of Infrastructure, Policy and Development, 8(9), 7172. https://doi.org/10.24294/jipd.v8i9.7172
  42. Shaver, G. J. (1973). Martin Heidegger: Poetry, Language, Thought. JSTOR. https://www.jstor.org/stable/302317
  43. Singh, J., Steele, K., Singh, L. (2021). Combining the Best of Online and Face-to-Face Learning: Hybrid and Blended Learning Approach for COVID-19, Post Vaccine, & Post-Pandemic World. Journal of Educational Technology Systems, 50(2), 140–171. https://doi.org/10.1177/00472395211047865
  44. Tapalova, O., Zhiyenbayeva, N. (2022). Artificial intelligence in education: AIEd for personalised learning pathways. Electronic Journal of E-Learning, 20(5), 639–653.
  45. Tay, L. Y., Lee, S.-S., Ramachandran, K. (2021). Implementation of Online Home-Based Learning and Students’ Engagement During the COVID-19 Pandemic: A Case Study of Singapore Mathematics Teachers. The Asia-Pacific Education Researcher, 30(3), 299–310. https://doi.org/10.1007/s40299-021-00572-y
  46. Tilwani, S. A., Vadivel, B., Uribe-Hernández, Y. C., et al. (2022). The Impact of Using TED Talks as a Learning Instrument on Enhancing Indonesian EFL Learners’ Listening Skill. Education Research International, 2022, 1–9. https://doi.org/10.1155/2022/8036363
  47. Wang, M.-T., Hofkens, T. L. (2020). Beyond Classroom Academics: A School-Wide and Multi-Contextual Perspective on Student Engagement in School. Adolescent Research Review, 5(4), 419–433. https://doi.org/10.1007/s40894-019-00115-z
  48. Wegerif, R. (2013). Dialogic: Education for the internet age. Routledge. https://www.taylorfrancis.com/books/mono/10.4324/9780203111222/dialogic-education-internet-age-rupert-wegerif
  49. Wei, H.-C., Chou, C. (2020). Online learning performance and satisfaction: Do perceptions and readiness matter? Distance Education, 41(1), 48–69. https://doi.org/10.1080/01587919.2020.1724768
  50. Zachary, L. J., Fain, L. Z. (2022). The mentor’s guide: Facilitating effective learning relationships. John Wiley & Sons. https://books.google.com/books?hl=ar&lr=&id=v8p6EAAAQBAJ&oi=fnd&pg=PR1&dq=LJ+Zachary,+LZ+Fain+-+2022+-+books.google.com.+The+mentor%27s+guide:+Facilitating+effective+learning+relationships&ots=6LpgVYZnKB&sig=BVXriBUDuJMQTcDPmO1dPfirUpc


DOI: https://doi.org/10.24294/jipd9655

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