College of computer science and technology, Jilin University
2
School of Management, Jilin University
3
Centro Algoritmi, University of Minho,
Guimarães, Portugal
CORRESPONDING AUTHOR
Donglei Song
College of computer science and technology, Jilin University, Lab B524, Computer Building, Jilin University, 2699, Qianjin Street, Gaoxinkaifa District, 130012 Changchun, Jilin, China
Online publication date: 2017-06-15
Publication date: 2017-06-15
EURASIA J. Math., Sci Tech. Ed 2017;13(7):3001–3018
Background: Many attempts at personalisation have been made in education. They all collect learning data and analyse learning behaviours, and ultimately achieve personalised learning dynamically. However, further research is needed on the ways to effectively access and analyse information about learning within an enjoyable environment and with positive results when realising personalised learning.
Material and methods: In order to solve this problem, we connect the time in class and after class with semantic knowledge and combine these elements with gamification and a better interaction experience. We explore whether this teaching method can offer students a better learning experience and positive learning outcomes.
Results: Our approach plays an obvious role in personalised learning.
Conclusions: Our results indicate that a teaching method which connects the two parts of a class with gamification and a means of interaction in AR (augmented reality) produces novel and enjoyable feelings, stimulates students' enthusiasm and improves the learning effects when they do personalised learning.
REFERENCES(20)
1.
Alavi, M., & Leidner, D. E. (2001). Review: Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS quarterly, 107-136.
Damian, I., Tan, C. S., Baur, T., Sch, Ning, J., & Luyten, K., et al. (2015). Augmenting Social Interactions: Realtime Behavioural Feedback using Social Signal Processing Techniques. Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (pp. 565-574). ACM.
Denny, P. (2013). The effect of virtual achievements on student engagement. In Proceedings of the SIGCHI conference on human factors in computing systems (pp. 763-772). ACM.
Kashy, E., Sherrill, B. M., Tsai, Y., Thaler, D., Weinshank, D., Engelmann, M., & Morrissey, D. J. (1993). CAPA-An integrated computer-assisted personalized assignment system. American Journal of Physics, 61(12), 1124-1130.
Mejova, Y., Borge-Holthoefer, J., & Weber, I. (2015). Bridges into the Unknown: Personalizing Connections to Little-known Countries. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (pp. 2633-2642). ACM.
O'Donovan, S., Gain, J., & Marais, P. (2013). A case study in the gamification of a university-level games development course. In Proceedings of the South African Institute for Computer Scientists and Information Technologists Conference (pp. 242-251). ACM.
Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American psychologist, 55(1), 68.
Yuen, S., Yaoyuneyong, G., & Johnson, E. (2011). Augmented reality: An overview and five directions for AR in education. Journal of Educational Technology Development and Exchange, 4(1), 119-140.
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