Using a Visualization System to Enhance Students' Online Learning Participation Based on Learning Behaviors and Social Presence

被引:0
作者
Xu, Yufan [1 ]
Chen, Li [1 ]
Geng, Xuewang [1 ]
Taniguchi, Yuta [2 ]
Gada, Yoshiko [3 ]
Shimada, Atsushi [4 ]
Yamada, Masanori [5 ]
机构
[1] Kyushu Univ, Grad Sch Hurnan Environm Studies, Fukuoka, Japan
[2] Res Inst Informat Teclmol, Fukuoka, Japan
[3] Kumamoto Univ, Res Ctr Instruct Syst, Kumamoto, Japan
[4] Kyushu Univ, Fac Informat Sci & Elect Engn, Fukuoka, Japan
[5] Kyushu Univ, Fac Arts & Sci, Fukuoka, Japan
来源
IEEE TALE2021: IEEE INTERNATIONAL CONFERENCE ON ENGINEERING, TECHNOLOGY AND EDUCATION | 2021年
关键词
visualization of participation; online learning participation; learning analytics; learning behaviors; social presence;
D O I
10.1109/TALE52509.2021.9678817
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Online learning participation drives online learning and promotes learning satisfaction; however, participation in online learning is inherently low because there is a lack of monitoring learning information. The purpose of this study is to develop a visualization system to enhance online learning participation based on learning behaviors and social presence, and to evaluate its effects. The visualization system provides learners' learning information from two perspectives: individual information on learners' learning behaviors and group information on discussion scripts. An online university course was augmented with a visualization system, and 66 first year university students registered for it. The results of the Mann-Whitney-U-Test showed that students who accessed the system's pie-chart function (regarding the frequency of using reading functions in groups) tended to highlight important content at a higher frequency and achieved higher final scores which were calculated based on the mini-reports, discussions and final reports than those who did not. Furthermore, compared to those who did not use the system's heatmap function (regarding the reading time in groups), students who used it read more of the learning material during the online course and received higher final scores.
引用
收藏
页码:399 / 404
页数:6
相关论文
共 30 条
[1]  
Barria J., 2014, Hypertext HT (Doctoral Consortium/Late-breaking Results/Workshops), CEUR Workshop Proceedings, V1210
[2]   Fostering student engagement in online discussion through social learning analytics [J].
Chen, Bodong ;
Chang, Yu-Hui ;
Ouyang, Fan ;
Zhou, Wanying .
INTERNET AND HIGHER EDUCATION, 2018, 37 :21-30
[3]   Direction of collaborative problem solving-based STEM learning by learning analytics approach [J].
Chen, Li ;
Yoshimatsu, Nobuyuki ;
Goda, Yoshiko ;
Okubo, Fumiya ;
Taniguchi, Yuta ;
Oi, Misato ;
Konomi, Shin'ichi ;
Shimada, Atsushi ;
Ogata, Hiroaki ;
Yamada, Masanori .
RESEARCH AND PRACTICE IN TECHNOLOGY ENHANCED LEARNING, 2019, 14 (01)
[4]  
Cobb SC, 2009, J INTERACT ONLINE LE, V8, P241
[5]   Interplay of metacognitive experiences and performance in collaborative problem solving [J].
Dindar, Muhterem ;
Jarvela, Sanna ;
Jarvenoja, Hanna .
COMPUTERS & EDUCATION, 2020, 154
[6]   Dialogue attributes that inform depth and quality of participation in course discussion forums [J].
Farrow, Elaine ;
Moore, Johanna ;
Gasevic, Dragan .
LAK20: THE TENTH INTERNATIONAL CONFERENCE ON LEARNING ANALYTICS & KNOWLEDGE, 2020, :129-134
[7]  
Garrison D. R., 1999, Internet and Higher Education, V2, P87, DOI 10.1016/S1096-7516(00)00016-6
[8]  
Goda Y, 2013, EDUCATIONAL COMMUNITIES OF INQUIRY: THEORETICAL FRAMEWORK, RESEARCH AND PRACTICE, P295, DOI 10.4018/978-1-4666-2110-7.ch014
[9]   A theory of online learning as online participation [J].
Hrastinski, Stefan .
COMPUTERS & EDUCATION, 2009, 52 (01) :78-82
[10]  
Jin SH, 2017, EDUC TECHNOL SOC, V20, P51