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Impact of Using ICT for Learning Purposes on Self-Efficacy and Persistence: Evidence from Pisa 2018

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  • Rikito Hori

    (Elementary School, Kansai University, Takatsuki 569-1098, Japan)

  • Makoto Fujii

    (Division of Health Science, Graduate School of Medicine, Osaka University, Suita 565-0871, Japan)

Abstract

In recent years, the use of information and communication technology (ICT) has meant that learning is no longer limited to the school. In order to achieve Sustainable Development Goal (SDG) goal 4, that is, to ensure quality education for all, to make educational resources and online learning are indispensable, and to access these resources anytime, anywhere through the Internet. In addition, the global pandemic of COVID-19 has made online education more necessary than ever before. Where and how ICT is used may have an impact on the components of motivation, such as self-efficacy and persistence. In this study, we quantified the impact of ICT utilization on the two components of self-efficacy and persistence. The effects of ICT use on both components were analyzed from the data taken from the 2018 Program for International Student Assessment (PISA) administered to 15-year old students. The results revealed that students who frequently utilized ICT for the purpose of out-of-school learning, particularly for activities related to school projects, exhibited significantly higher levels of self-efficacy and persistence. The frequency of ICT usage for in-school learning revealed no effect on any of the two above components. In addition, utilization of ICT for recreational purposes outside of school showed significantly lower values in the area of persistence. These results indicate that it is important to set tasks that provide a continuum of ICT use, both in and out of school, in order to motivate learners. This has important implications for the design of learning in online education. Furthermore, it suggests that teachers should design exploratory type lessons that focus on strengthening students’ desire to learn outside of class.

Suggested Citation

  • Rikito Hori & Makoto Fujii, 2021. "Impact of Using ICT for Learning Purposes on Self-Efficacy and Persistence: Evidence from Pisa 2018," Sustainability, MDPI, vol. 13(11), pages 1-12, June.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:11:p:6463-:d:570012
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    References listed on IDEAS

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    1. Saltelli, Andrea & Ratto, Marco & Tarantola, Stefano & Campolongo, Francesca, 2006. "Sensitivity analysis practices: Strategies for model-based inference," Reliability Engineering and System Safety, Elsevier, vol. 91(10), pages 1109-1125.
    2. Sharma, Ravi & Fantin, Arul-Raj & Prabhu, Navin & Guan, Chong & Dattakumar, Ambica, 2016. "Digital literacy and knowledge societies: A grounded theory investigation of sustainable development," Telecommunications Policy, Elsevier, vol. 40(7), pages 628-643.
    3. Hidalgo, Antonio & Gabaly, Samuel & Morales-Alonso, Gustavo & Urueña, Alberto, 2020. "The digital divide in light of sustainable development: An approach through advanced machine learning techniques," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    4. Di Xu & Shanna S. Jaggars, 2014. "Performance Gaps between Online and Face-to-Face Courses: Differences across Types of Students and Academic Subject Areas," The Journal of Higher Education, Taylor & Francis Journals, vol. 85(5), pages 633-659, September.
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    Cited by:

    1. Jingdan Hu & Jie Hu, 2022. "Teachers’ Frequency of ICT Use in Providing Sustainable Opportunity to Learn: Mediation Analysis Using a Reading Database," Sustainability, MDPI, vol. 14(23), pages 1-18, November.
    2. María del Mar Molero Jurado & María del Mar Simón Márquez & África Martos Martínez & Ana Belén Barragán Martín & María del Carmen Pérez-Fuentes & José Jesús Gázquez Linares, 2022. "Qualitative Analysis of Use of ICTs and Necessary Personal Competencies (Self-Efficacy, Creativity and Emotional Intelligence) of Future Teachers: Implications for Education," Sustainability, MDPI, vol. 14(19), pages 1-16, September.

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