An Enjoyable Learning Experience in Personalising Learning Based on Knowledge Management: A Case Study
Hao Xu 1 2, Donglei Song 1 * , Tao Yu 1, Adriano Tavares 3
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1 College of computer science and technology, Jilin University
2 School of Management, Jilin University
3 Centro Algoritmi, University of Minho, GuimarĂ£es, Portugal
* Corresponding Author

Abstract

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.

License

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

https://doi.org/10.12973/eurasia.2017.00702a

EURASIA J Math Sci Tech Ed, 2017 - Volume 13 Issue 7, pp. 3001-3018

Publication date: 15 Jun 2017

Article Views: 2040

Article Downloads: 946

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