An Enjoyable Learning Experience in Personalising Learning Based on Knowledge Management: A Case Study
Hao Xu 1,2
Tao Yu 1
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College of computer science and technology, Jilin University
School of Management, Jilin University
Centro Algoritmi, University of Minho, Guimar√£es, Portugal
Online publication date: 2017-06-15
Publication date: 2017-06-15
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
EURASIA J. Math., Sci Tech. Ed 2017;13(7):3001-3018
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.

Our approach plays an obvious role in personalised learning.

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.

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