Linking the learning processes to learning engagement and learning outcomes: How well did the students learn in modeling-based computer simulation activities?

Ya Joe Wang; Silvia Wen Yu Lee; Pai Chuan Lin; Chen Chung Liu

Linking the learning processes to learning engagement and learning outcomes: How well did the students learn in modeling-based computer simulation activities?

Ya Joe Wang, Silvia Wen Yu Lee, Pai Chuan Lin, Chen Chung Liu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The purpose of this study was to investigate the relationships between students’ different extent of completion of modeling activity and the students’ modeling competences and learning engagement. Research participants were 76 11-th grade students in Taiwan. The students participated in modeling-based computer simulation activities (MBCSA). We designed and learning patterns was analyzed through lag sequential analysis (LSA). Research instruments included pre- and post-modeling competence tests, engagement questionnaires, and online students’ worksheets. Students’ activity logs were also recorded by the computers. The students’ online worksheets were scored and used for grouping the students into three levels of completion of MBCSA: the Low-Score Group (LSG), Middle-Score Group (MSG) and High-Score Group (HSG). The results showed that, first, in analyzing the students’ pre- and post-modeling competences test, ANCOVA results showed HSG and MSG were significantly higher than LSG on model representation (MR). Second, in analyzing the engagement questionnaires, ANOVA results showed HSG was significantly higher than MSG on positive behavioral engagement and positive social engagement, and LSG was significantly higher than HSG on negative cognitive engagement, negative behavioral engagement and negative social engagement. Third, by using the LSA, six activity patterns were identified in this study. Students in the three groups showed different tendencies of the sequences of completing the modeling activities.

Original language	English
Title of host publication	ICCE 2019 - 27th International Conference on Computers in Education, Proceedings
Editors	Maiga Chang, Hyo-Jeong So, Lung-Hsiang Wong, Ju-Ling Shih, Fu-Yun Yu, Michelle P. Banawan, Ben Chang, Weiqin Chen, Andrei D. Coronel, Swapna Gottipati, H. Ulrich Hoppe, Morris S.Y. Jong, Calvin Liao, Jon Mason, Fan Ouyang, Patcharin Panjaburee, Ma. Mercedes T. Rodrigo, Yanjie Song, Niwat Srisawasdi, Ahmed Tlili, Chengjiu Yin
Publisher	Asia-Pacific Society for Computers in Education
Pages	79-84
Number of pages	6
ISBN (Electronic)	9789869721448
State	Published - 19 Nov 2019
Event	27th International Conference on Computers in Education, ICCE 2019 - Kenting, Taiwan Duration: 2 Dec 2019 → 6 Dec 2019

Publication series

Name	ICCE 2019 - 27th International Conference on Computers in Education, Proceedings
Volume	2

Conference

Conference	27th International Conference on Computers in Education, ICCE 2019
Country/Territory	Taiwan
City	Kenting
Period	2/12/19 → 6/12/19

Keywords

Computer simulation
Lag sequential analysis
Modeling competences
Scientific modeling

Cite this

Wang, Y. J., Lee, S. W. Y., Lin, P. C., & Liu, C. C. (2019). Linking the learning processes to learning engagement and learning outcomes: How well did the students learn in modeling-based computer simulation activities? In M. Chang, H.-J. So, L.-H. Wong, J.-L. Shih, F.-Y. Yu, M. P. Banawan, B. Chang, W. Chen, A. D. Coronel, S. Gottipati, H. U. Hoppe, M. S. Y. Jong, C. Liao, J. Mason, F. Ouyang, P. Panjaburee, M. M. T. Rodrigo, Y. Song, N. Srisawasdi, A. Tlili, ... C. Yin (Eds.), ICCE 2019 - 27th International Conference on Computers in Education, Proceedings (pp. 79-84). (ICCE 2019 - 27th International Conference on Computers in Education, Proceedings; Vol. 2). Asia-Pacific Society for Computers in Education.

Wang, Ya Joe ; Lee, Silvia Wen Yu ; Lin, Pai Chuan et al. / Linking the learning processes to learning engagement and learning outcomes : How well did the students learn in modeling-based computer simulation activities?. ICCE 2019 - 27th International Conference on Computers in Education, Proceedings. editor / Maiga Chang ; Hyo-Jeong So ; Lung-Hsiang Wong ; Ju-Ling Shih ; Fu-Yun Yu ; Michelle P. Banawan ; Ben Chang ; Weiqin Chen ; Andrei D. Coronel ; Swapna Gottipati ; H. Ulrich Hoppe ; Morris S.Y. Jong ; Calvin Liao ; Jon Mason ; Fan Ouyang ; Patcharin Panjaburee ; Ma. Mercedes T. Rodrigo ; Yanjie Song ; Niwat Srisawasdi ; Ahmed Tlili ; Chengjiu Yin. Asia-Pacific Society for Computers in Education, 2019. pp. 79-84 (ICCE 2019 - 27th International Conference on Computers in Education, Proceedings).

@inproceedings{f88e78cfc1a5498a9e4afb186d453b55,

title = "Linking the learning processes to learning engagement and learning outcomes: How well did the students learn in modeling-based computer simulation activities?",

abstract = "The purpose of this study was to investigate the relationships between students{\textquoteright} different extent of completion of modeling activity and the students{\textquoteright} modeling competences and learning engagement. Research participants were 76 11-th grade students in Taiwan. The students participated in modeling-based computer simulation activities (MBCSA). We designed and learning patterns was analyzed through lag sequential analysis (LSA). Research instruments included pre- and post-modeling competence tests, engagement questionnaires, and online students{\textquoteright} worksheets. Students{\textquoteright} activity logs were also recorded by the computers. The students{\textquoteright} online worksheets were scored and used for grouping the students into three levels of completion of MBCSA: the Low-Score Group (LSG), Middle-Score Group (MSG) and High-Score Group (HSG). The results showed that, first, in analyzing the students{\textquoteright} pre- and post-modeling competences test, ANCOVA results showed HSG and MSG were significantly higher than LSG on model representation (MR). Second, in analyzing the engagement questionnaires, ANOVA results showed HSG was significantly higher than MSG on positive behavioral engagement and positive social engagement, and LSG was significantly higher than HSG on negative cognitive engagement, negative behavioral engagement and negative social engagement. Third, by using the LSA, six activity patterns were identified in this study. Students in the three groups showed different tendencies of the sequences of completing the modeling activities.",

keywords = "Computer simulation, Lag sequential analysis, Modeling competences, Scientific modeling",

author = "Wang, {Ya Joe} and Lee, {Silvia Wen Yu} and Lin, {Pai Chuan} and Liu, {Chen Chung}",

note = "Publisher Copyright: {\textcopyright} ICCE 2019 - 27th International Conference on Computers in Education, Proceedings. All rights reserved.; 27th International Conference on Computers in Education, ICCE 2019 ; Conference date: 02-12-2019 Through 06-12-2019",

year = "2019",

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series = "ICCE 2019 - 27th International Conference on Computers in Education, Proceedings",

publisher = "Asia-Pacific Society for Computers in Education",

pages = "79--84",

editor = "Maiga Chang and Hyo-Jeong So and Lung-Hsiang Wong and Ju-Ling Shih and Fu-Yun Yu and Banawan, {Michelle P.} and Ben Chang and Weiqin Chen and Coronel, {Andrei D.} and Swapna Gottipati and Hoppe, {H. Ulrich} and Jong, {Morris S.Y.} and Calvin Liao and Jon Mason and Fan Ouyang and Patcharin Panjaburee and Rodrigo, {Ma. Mercedes T.} and Yanjie Song and Niwat Srisawasdi and Ahmed Tlili and Chengjiu Yin",

booktitle = "ICCE 2019 - 27th International Conference on Computers in Education, Proceedings",

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Wang, YJ, Lee, SWY, Lin, PC & Liu, CC 2019, Linking the learning processes to learning engagement and learning outcomes: How well did the students learn in modeling-based computer simulation activities? in M Chang, H-J So, L-H Wong, J-L Shih, F-Y Yu, MP Banawan, B Chang, W Chen, AD Coronel, S Gottipati, HU Hoppe, MSY Jong, C Liao, J Mason, F Ouyang, P Panjaburee, MMT Rodrigo, Y Song, N Srisawasdi, A Tlili & C Yin (eds), ICCE 2019 - 27th International Conference on Computers in Education, Proceedings. ICCE 2019 - 27th International Conference on Computers in Education, Proceedings, vol. 2, Asia-Pacific Society for Computers in Education, pp. 79-84, 27th International Conference on Computers in Education, ICCE 2019, Kenting, Taiwan, 2/12/19.

Linking the learning processes to learning engagement and learning outcomes: How well did the students learn in modeling-based computer simulation activities? / Wang, Ya Joe; Lee, Silvia Wen Yu; Lin, Pai Chuan et al.
ICCE 2019 - 27th International Conference on Computers in Education, Proceedings. ed. / Maiga Chang; Hyo-Jeong So; Lung-Hsiang Wong; Ju-Ling Shih; Fu-Yun Yu; Michelle P. Banawan; Ben Chang; Weiqin Chen; Andrei D. Coronel; Swapna Gottipati; H. Ulrich Hoppe; Morris S.Y. Jong; Calvin Liao; Jon Mason; Fan Ouyang; Patcharin Panjaburee; Ma. Mercedes T. Rodrigo; Yanjie Song; Niwat Srisawasdi; Ahmed Tlili; Chengjiu Yin. Asia-Pacific Society for Computers in Education, 2019. p. 79-84 (ICCE 2019 - 27th International Conference on Computers in Education, Proceedings; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Linking the learning processes to learning engagement and learning outcomes

T2 - 27th International Conference on Computers in Education, ICCE 2019

AU - Wang, Ya Joe

AU - Lee, Silvia Wen Yu

AU - Lin, Pai Chuan

AU - Liu, Chen Chung

PY - 2019/11/19

Y1 - 2019/11/19

N2 - The purpose of this study was to investigate the relationships between students’ different extent of completion of modeling activity and the students’ modeling competences and learning engagement. Research participants were 76 11-th grade students in Taiwan. The students participated in modeling-based computer simulation activities (MBCSA). We designed and learning patterns was analyzed through lag sequential analysis (LSA). Research instruments included pre- and post-modeling competence tests, engagement questionnaires, and online students’ worksheets. Students’ activity logs were also recorded by the computers. The students’ online worksheets were scored and used for grouping the students into three levels of completion of MBCSA: the Low-Score Group (LSG), Middle-Score Group (MSG) and High-Score Group (HSG). The results showed that, first, in analyzing the students’ pre- and post-modeling competences test, ANCOVA results showed HSG and MSG were significantly higher than LSG on model representation (MR). Second, in analyzing the engagement questionnaires, ANOVA results showed HSG was significantly higher than MSG on positive behavioral engagement and positive social engagement, and LSG was significantly higher than HSG on negative cognitive engagement, negative behavioral engagement and negative social engagement. Third, by using the LSA, six activity patterns were identified in this study. Students in the three groups showed different tendencies of the sequences of completing the modeling activities.

AB - The purpose of this study was to investigate the relationships between students’ different extent of completion of modeling activity and the students’ modeling competences and learning engagement. Research participants were 76 11-th grade students in Taiwan. The students participated in modeling-based computer simulation activities (MBCSA). We designed and learning patterns was analyzed through lag sequential analysis (LSA). Research instruments included pre- and post-modeling competence tests, engagement questionnaires, and online students’ worksheets. Students’ activity logs were also recorded by the computers. The students’ online worksheets were scored and used for grouping the students into three levels of completion of MBCSA: the Low-Score Group (LSG), Middle-Score Group (MSG) and High-Score Group (HSG). The results showed that, first, in analyzing the students’ pre- and post-modeling competences test, ANCOVA results showed HSG and MSG were significantly higher than LSG on model representation (MR). Second, in analyzing the engagement questionnaires, ANOVA results showed HSG was significantly higher than MSG on positive behavioral engagement and positive social engagement, and LSG was significantly higher than HSG on negative cognitive engagement, negative behavioral engagement and negative social engagement. Third, by using the LSA, six activity patterns were identified in this study. Students in the three groups showed different tendencies of the sequences of completing the modeling activities.

KW - Computer simulation

KW - Lag sequential analysis

KW - Modeling competences

KW - Scientific modeling

UR - http://www.scopus.com/inward/record.url?scp=85077714104&partnerID=8YFLogxK

M3 - 會議論文篇章

AN - SCOPUS:85077714104

T3 - ICCE 2019 - 27th International Conference on Computers in Education, Proceedings

SP - 79

EP - 84

BT - ICCE 2019 - 27th International Conference on Computers in Education, Proceedings

A2 - Chang, Maiga

A2 - So, Hyo-Jeong

A2 - Wong, Lung-Hsiang

A2 - Shih, Ju-Ling

A2 - Yu, Fu-Yun

A2 - Banawan, Michelle P.

A2 - Chang, Ben

A2 - Chen, Weiqin

A2 - Coronel, Andrei D.

A2 - Gottipati, Swapna

A2 - Hoppe, H. Ulrich

A2 - Jong, Morris S.Y.

A2 - Liao, Calvin

A2 - Mason, Jon

A2 - Ouyang, Fan

A2 - Panjaburee, Patcharin

A2 - Rodrigo, Ma. Mercedes T.

A2 - Song, Yanjie

A2 - Srisawasdi, Niwat

A2 - Tlili, Ahmed

A2 - Yin, Chengjiu

PB - Asia-Pacific Society for Computers in Education

Y2 - 2 December 2019 through 6 December 2019

ER -

Wang YJ, Lee SWY, Lin PC, Liu CC. Linking the learning processes to learning engagement and learning outcomes: How well did the students learn in modeling-based computer simulation activities? In Chang M, So HJ, Wong LH, Shih JL, Yu FY, Banawan MP, Chang B, Chen W, Coronel AD, Gottipati S, Hoppe HU, Jong MSY, Liao C, Mason J, Ouyang F, Panjaburee P, Rodrigo MMT, Song Y, Srisawasdi N, Tlili A, Yin C, editors, ICCE 2019 - 27th International Conference on Computers in Education, Proceedings. Asia-Pacific Society for Computers in Education. 2019. p. 79-84. (ICCE 2019 - 27th International Conference on Computers in Education, Proceedings).

Linking the learning processes to learning engagement and learning outcomes: How well did the students learn in modeling-based computer simulation activities?

Abstract

Publication series

Conference

Keywords

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