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Understanding the Influential Factors on Multi-device Usage in Higher Education During Covid-19 Outbreak

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Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA 2022)

Abstract

Multi-device usage is the activity conducted involving many types of gadgets. Further, the active generations such as generation x, the millennial generation, and generation-z are quite adapted to using the multi-device. In the early year 2020, the existence of the Covid-19 pandemic outbreak accelerates the situation. However, it is still important to understand what kind of components/dimensions affect the usage, especially for learning in higher education. The present research explores the new dimension that affects multi-device usage. Principle component analysis is used, and 150 higher education students participated as the respondents. The data was extracted by self-administered questionnaires. Principal component analysis was performed as the analysis tool. The result shows the reduction of variables of entertainment, separate work and personal life (SWPL), productivity, interaction, emergency, and virtual mobility into two dimensions. The two dimensions generated are identified as the work-life balance and fear of missing out. Further discussion and recommendations are presented. The insight can be used by stakeholders such as academicians, researchers, and policymakers to better understand the influential dimensions of multi-device usage.

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References

  1. Bhamani S, Makhdoom AZ, Bharuchi V, Ali N, Kaleem S, Ahmed D (2020) Home learning in times of COVID: experiences of parents. J Educ Educ Devel 7:9–26

    Article  Google Scholar 

  2. Sharples M (2000) The design of personal mobile technologies for lifelong learning. Comput Educ 34:177–193

    Article  Google Scholar 

  3. Houben S, Marquardt N, Vermeulen J, Klokmose C, Schöning J, Reiterer H, Holz C (2017) Opportunities and challenges for cross-device interactions in the wild. Interactions 24:58–63

    Article  Google Scholar 

  4. Liccardi I, Ounnas A, Pau R, Massey E, Kinnunen P, Lewthwaite S, Midy M-A, Sarkar C (2007) The role of social networks in students’ learning experiences. ACM Sigcse Bull 39:224–237

    Article  Google Scholar 

  5. Lades LK, Laffan K, Daly M, Delaney L (2020) Daily emotional well-being during the COVID-19 pandemic. Br J Health Psychol 25:902–911

    Article  Google Scholar 

  6. Affinito A, Botta A, Ventre G (2020) The impact of covid on network utilization: an analysis on domain popularity. In: IEEE 25th international workshop on computer aided modeling and design of communication links and networks (CAMAD). IEEE, pp 1–6

    Google Scholar 

  7. Wolfinger S (2016) An exploratory case study of middle school student academic achievement in a fully online virtual school. Drexel University

    Google Scholar 

  8. Pursula M, Warsta M, Laaksonen I (2005) Virtual university–a vehicle for development, cooperation and internationalisation in teaching and learning. Eur J Eng Educ 30:439–446

    Article  Google Scholar 

  9. Nguyen T (2015) The effectiveness of online learning: beyond no significant difference and future horizons. MERLOT J Online Learn Teach 11:309–319

    Google Scholar 

  10. Oulasvirta A, Sumari L (2007) Mobile kits and laptop trays: managing multiple devices in mobile information work. In: Proceedings of the SIGCHI conference on human factors in computing systems, pp 1127–1136

    Google Scholar 

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Correspondence to Satria Fadil Persada .

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Herman, R.T., Kusuma, Y.B., Kusumawati, Y.A., Sudrajat, D., Persada, S.F. (2023). Understanding the Influential Factors on Multi-device Usage in Higher Education During Covid-19 Outbreak. In: Mukhopadhyay, S.C., Senanayake, S.N.A., Withana, P.C. (eds) Innovative Technologies in Intelligent Systems and Industrial Applications. CITISIA 2022. Lecture Notes in Electrical Engineering, vol 1029. Springer, Cham. https://doi.org/10.1007/978-3-031-29078-7_6

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