DocumentCode :
2960996
Title :
An Investigation of Students´ Sequential Learning Behavioral Patterns in Mobile CSCL Learning Systems
Author :
Wang, Hung-Yuan ; Lin, Tzung-Jin ; Tsai, Chin-Chung ; Duh, Henry Been-Lirn ; Liang, Jye-Chong
Author_Institution :
Grad. Inst. of Appl. Sci. & Technol., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
fYear :
2012
fDate :
4-6 July 2012
Firstpage :
53
Lastpage :
57
Abstract :
This paper attempts to explore students´ collaborative learning behavior patterns in different simulation systems. Two mobile CSCL learning environments (Augmented Reality simulation and Traditional simulation) for helping university students to acquire physics knowledge were designed. A total of 40 students, grouped into twenty pairs, were randomly assigned to the two learning environments for conducting an inquiry task. Their collaborative learning behaviors were recorded and analyzed by quantitative content analysis and lag sequential analysis. The results indicated that the students´ collaborative inquiry learning was supported in both environments. Particularly, the students using the AR-simulation showed a more cohesive collaborative inquiry learning behavior pattern. This study provides a new perspective for educators or system designers to deeply observe students´ learning behaviors in a CSCL environment by using sequential analysis. Moreover, the AR-simulation system might be a suitable learning environment for enhancing students´ collaborative inquiry learning. In addition, suggestions for designing a simulated learning environment are proposed.
Keywords :
augmented reality; computer aided instruction; groupware; mobile computing; AR-simulation system; augmented reality simulation; collaborative inquiry learning; collaborative learning behavior patterns; inquiry task; lag sequential analysis; mobile CSCL learning systems; physics knowledge; quantitative content analysis; students collaborative inquiry learning; students sequential learning behavioral patterns; traditional simulation; university students; Collaboration; Collaborative work; Computational modeling; Computers; Education; Mobile communication; Sequential analysis; Mobile CSCL; augmented reality; behavior pattern; collaborative inquiry learning; simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Learning Technologies (ICALT), 2012 IEEE 12th International Conference on
Conference_Location :
Rome
Print_ISBN :
978-1-4673-1642-2
Type :
conf
DOI :
10.1109/ICALT.2012.133
Filename :
6268035
Link To Document :
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