Abstract
Gamification is recognized as a creative tool in education, particularly in the online environment, with the potential to enhance the motivation and performance of students. However, the challenges it presents are becoming increasingly evident. By examining recent research and practice, this paper proposes an adaptive hybrid gamification teaching method, which adaptively adjusts game difficulty levels based on the knowledge and learning behavior of online learning students. A hybrid game teaching strategy integrating competition, cooperation, reward, and other elements was developed, and the learning process was recorded and evaluated. Students’ situational cognitive experience, collaborative social experience, and motivation-based proactive experience were comprehensively considered. Through the teaching experiment, it was concluded that this method can adjust the game difficulty adaptively according to the students’ learning basis, reduce the cognitive load, obtain a good flow experience, effectively alleviate the low immersion of online education, and improve the students’ participation in online course learning.
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Acknowledgements
This study was sponsored by the Engineering Research Center of Integration and Application of Digital Learning Technology, Ministry of Education in November 2022. The project “The Use of Digital Technology in Open Education: An International Perspective” (No. 1221011) received funding from the center. We are deeply appreciative of this funding, and we would like to express our gratitude to the China Adult Education Association for its support. The funding covered this project, “Innovative Research on the Remote Education Talent of Film and Animation Major—From the Perspective of National Cultural Inheritance (2021-312Y).”
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Wang, X., Wang, L., Liu, S., Adams, P. (2023). Design of an Adaptive Hybrid Gamification Teaching Method and Its Practice in Computer Science and Animation Teaching. In: Dascalu, M., Mealha, Ó., Virkus, S. (eds) Smart Learning Ecosystems as Engines of the Green and Digital Transition. SLERD 2023. Advances in Sustainability Science and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-99-5540-4_16
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DOI: https://doi.org/10.1007/978-981-99-5540-4_16
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