Investigating the mechanisms of analytics-supported reflective assessment for fostering collective knowledge

Yang, Yuqin1; Chen, Yewen1; Feng, Xueqi2; Sun, Daner3; Pang, Shiyan1

2024-04-01

10.1007/s12528-024-09398-1

JOURNAL OF COMPUTING IN HIGHER EDUCATION   影响因子和分区

1042-1726

1867-1233

Helping students gradually develop collective knowledge is critical but generally faces great challenges. Employing a quasi-experimental design, this study investigated the impacts and mechanisms of analytics-supported reflective assessment on the collective knowledge advancement of undergraduates. The experimental group (n = 55) engaged in Knowledge Building inquiries with facilitation through analytics-supported reflective assessment, while the comparison class (n = 38) pursued Knowledge Building inquiries facilitated by portfolio-supported reflective assessment. This study found that analytics-supported reflective assessment positively and significantly influenced undergraduates' collective knowledge advancement. Path analysis revealed the mechanisms of analytics-supported reflective assessment for supporting undergraduates' collective knowledge advancement-the undergraduates' metacognitive engagement and cognitive engagement influenced each other, further influencing their contribution to collective knowledge advancement and domain understanding. This study holds significant practical implications for fostering students' knowledge building, inquiry, and metacognition by designing technology-enhanced learning environments as collaborative and metacognitive tools. Additionally, the study offers insights into the processes and mechanisms of reflective assessment, contributing to an understanding of how it enhances students' development of higher-order skills.

Knowledge building Collective knowledge advancement Learning analytics Engagement Reflective assessment

SSCI

英语

通讯

National Natural Science Foundation of China["CCNUTEIII 2021-11","CCNUAIFE2022-03-15"] ; University-Level Educational Reformation Research Projects[62107020] ; National Natural Science Foundation of the People's Republic of China["21YJA880078","22YJC880058"] ; Collaborative Innovation Center for Informatization and Balanced Development of K-12 Education by MOE[xtzd2022-002]

Education & Educational Research

Education & Educational Research

WOS:001168010200001

SPRINGER

Web of Science

1.Cent China Normal Univ, Fac Artificial Intelligence Educ, Wuhan, Hubei, Peoples R China
2.Southern Univ Sci & Technol, Ctr Future Educ Res, Shenzhen, Peoples R China
3.Educ Univ Hong Kong, Dept Math & Informat Technol, Hong Kong, Peoples R China

Yang, Yuqin,Chen, Yewen,Feng, Xueqi,et al. Investigating the mechanisms of analytics-supported reflective assessment for fostering collective knowledge[J]. JOURNAL OF COMPUTING IN HIGHER EDUCATION,2024,36(1).

Yang, Yuqin,Chen, Yewen,Feng, Xueqi,Sun, Daner,&Pang, Shiyan.(2024).Investigating the mechanisms of analytics-supported reflective assessment for fostering collective knowledge.JOURNAL OF COMPUTING IN HIGHER EDUCATION,36(1).

Yang, Yuqin,et al."Investigating the mechanisms of analytics-supported reflective assessment for fostering collective knowledge".JOURNAL OF COMPUTING IN HIGHER EDUCATION 36.1(2024).