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Growing Science » International Journal of Data and Network Science » Exploring the long-term effects: Retention and transfer of skills in gamified learning environment

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International Journal of Data and Network Science

ISSN 2561-8156 (Online) - ISSN 2561-8148 (Print)
Quarterly Publication
Volume 8 Issue 1 pp. 195-200 , 2024

Exploring the long-term effects: Retention and transfer of skills in gamified learning environment Pages 195-200 Right click to download the paper Download PDF

Authors: Yusra Jadallah Abed Khasawneh, Najwa Khasawneh, Mohamad Ahmad Saleem Khasawneh

DOI: 10.5267/j.ijdns.2023.10.004

Keywords: Gamified Learning, Skill Retention, Skill Transfer, Jordan Education

Abstract: This study looks at how gamifying the classroom might help students retain and apply what they have learned in the Jordan educational system. During the year-long research, 500 participants from a wide range of educational attainment levels served as participants. Immediately after participation in gamified courses, participants retain a significant proportion of their newly acquired skills over a long period of time, demonstrating a notable improvement in retention. Important factors that affect how well one remembers newly acquired abilities include intrinsic motivation and interest. What's more, studies have shown that there's a strong link between keeping knowledge and being able to use it elsewhere, which highlights the need of maintaining competence for maximum efficiency in applying knowledge in the real world. Important implications for the Jordan educational system may be drawn from the findings since they are consistent with the goals of Vision 2030. The goal of this nationwide effort is to train workers who can sustainably advance the nation's economy and culture.


How to cite this paper
Khasawneh, Y., Khasawneh, N & Khasawneh, M. (2024). Exploring the long-term effects: Retention and transfer of skills in gamified learning environment.International Journal of Data and Network Science, 8(1), 195-200.

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Journal: International Journal of Data and Network Science | Year: 2024 | Volume: 8 | Issue: 1 | Views: 4731 | Reviews: 0

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