Gamification in Education: Enhancing Student Engagement through Interactive Learning
Keywords:
Gamification, Student Engagement, Interactive Learning, Educational Technology, Motivation, Game-Based Learning, Pedagogy, Classroom InnovationAbstract
Gamificaiton (use of game design elements in non-game context) has generated a lot of momentum in education space. Given that gamification offers educators an opportunity to change their prevailing strategy of engaging students, the implementation of such approach emerges an effective pedagogical instrument that encourages active learning, intrinsic motivation and interest of students. Gamification is the topic of this paper in determining how its effects influence student engagement in educational environments. It reviews existing literature, finds successful approaches and provides a case studies-based analysis of gamified interventions into classrooms. Results suggest that gamification, used correctly, increases cognitive and emotional involvement and participation rates and has a direct impact on academic achievement. It is emphasized by the study that the balance between educational content and interactive elements is important while suggesting some future direction for research.
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L. Da Rocha Seixas, A. S. Gomes, and I. J. De MeloFilho, “Effectiveness of gamification in the engagement of students,” Computers in Human Behavior, vol. 58, pp. 48–63, Dec. 2015, doi: 10.1016/j.chb.2015.11.021.
H. Balalle, “Exploring student engagement in technology-based education in relation to gamification, online/distance learning, and other factors: A systematic literature review,” Social Sciences & Humanities Open, vol. 9, p. 100870, Jan. 2024, doi: 10.1016/j.ssaho.2024.100870.
S. J. Aguilar, H. Galperin, C. Baek, and E. Gonzalez, “Live instruction predicts engagement in K–12 remote learning,” Educational Researcher, vol. 51, no. 1, pp. 81–84, Nov. 2021, doi: 10.3102/0013189x211056884.
C. Attard and K. Holmes, “‘It gives you that sense of hope’: An exploration of technology use to mediate student engagement with mathematics,” Heliyon, vol. 6, no. 1, p. e02945, Jan. 2020, doi: 10.1016/j.heliyon.2019.e02945.
B. Bamoallem and S. Altarteer, “Remote emergency learning during COVID-19 and its impact on university students perception of blended learning in KSA,” Education and Information Technologies, vol. 27, no. 1, pp. 157–179, Jul. 2021, doi: 10.1007/s10639-021-10660-7.
N. Bergdahl, “Engagement and disengagement in online learning,” Computers & Education, vol. 188, p. 104561, Jun. 2022, doi: 10.1016/j.compedu.2022.104561.
E. D. Besser, L. E. Blackwell, and M. Saenz, “Engaging Students Through Educational Podcasting: Three Stories of Implementation,” Technology Knowledge and Learning, vol. 27, no. 3, pp. 749–764, Feb. 2021, doi: 10.1007/s10758-021-09503-8.
J. Chen, “A scientometric analysis of information technology in sustainable higher education: knowledge structure and frontier trends,” Discover Sustainability, vol. 4, no. 1, Aug. 2023, doi: 10.1007/s43621-023-00148-4.
D. O. Eke, “ChatGPT and the rise of generative AI: Threat to academic integrity?,” Journal of Responsible Technology, vol. 13, p. 100060, Feb. 2023, doi: 10.1016/j.jrt.2023.100060.
S. Farias-Gaytan, I. Aguaded, and M.-S. Ramirez-Montoya, “Digital transformation and digital literacy in the context of complexity within higher education institutions: a systematic literature review,” Humanities and Social Sciences Communications, vol. 10, no. 1, Jul. 2023, doi: 10.1057/s41599-023-01875-9.
L. Harris, J. Dargusch, K. Ames, and C. Bloomfield, “Catering for ‘very different kids’: distance education teachers’ understandings of and strategies for student engagement,” International Journal of Inclusive Education, vol. 26, no. 8, pp. 848–864, Mar. 2020, doi: 10.1080/13603116.2020.1735543.
D. J. Hughes, J. W. Adie, I. K. Kratsiotis, K. J. Bartholomew, R. Bhakta, and J. Martindale, “Dark personality traits and psychological need frustration explain future levels of student satisfaction, engagement, and performance,” Learning and Individual Differences, vol. 103, p. 102273, Mar. 2023, doi: 10.1016/j.lindif.2023.102273.
R. Kimura, M. Matsunaga, E. Barroga, and N. Hayashi, “Asynchronous e-learning with technology-enabled and enhanced training for continuing education of nurses: a scoping review,” BMC Medical Education, vol. 23, no. 1, Jul. 2023, doi: 10.1186/s12909-023-04477-w.
J. Li and E. Xue, “Dynamic Interaction between Student Learning Behaviour and Learning Environment: Meta-Analysis of Student Engagement and Its Influencing Factors,” Behavioral Sciences, vol. 13, no. 1, p. 59, Jan. 2023, doi: 10.3390/bs13010059.
C.-H. Liao and J.-Y. Wu, “Deploying multimodal learning analytics models to explore the impact of digital distraction and peer learning on student performance,” Computers & Education, vol. 190, p. 104599, Jul. 2022, doi: 10.1016/j.compedu.2022.104599
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