Abstract
At present, with the rapid development of the internet and the gradual promotion of online collaborative learning, the social regulation of learning is receiving increasing attention, which involves socially shared metacognition, one facet of social metacognition. To date, social regulation of learning or socially shared metacognition have been widely studied using qualitative approaches. Although a variety of scales have been developed to measure metacognition in traditional individual learning, little work has been done to develop a scale to measure social metacognition in collaborative learning contexts. This study originally developed a social metacognition inventory consisting of 24 indicators by referring to the literature for assessing beliefs of other persons (BOP), awareness of other persons’ thinking (AOPT), judgment of other persons’ emotions (JOPE), co-regulation of each other’s thinking (CREOT), and evaluation of other persons’ thinking (EOPT). After EFA using 218 undergraduates’ questionnaires of social metacognition in collaborative argumentation on a social psychological issue from a Sino-Foreign Cooperative Educational Institution, 17 indicators showed good factorability and reliability. After CFA using another 300 questionnaires on social metacognition in collaborative argumentation about the pandemic received from undergraduates who come from 52 countries in the International College of Education, among the 17 indicators derived from the first sample’s EFA, three indicators had high correlation with others. Finally, based on the reviews of three experts, these three indicators were deleted. The remaining 14 indicators formed good construct validity with acceptable convergent and discriminant validities. In addition, the multi-group invariance test demonstrated that the structural model of the Social Metacognition Inventory has better configural invariance, which indicates that it can be generalized to other online collaborative argumentation contexts. The Social Metacognition Inventory can be used to quantify social metacognition in online collaborative argumentation when administering a large-scale experiment.
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The data of the present study are available upon request by sending e-mails to the corresponding author.
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This study was granted by Project No. Y201839174 from Zhejiang Provincial Education Department and Project No. 18jg20 from Wenzhou University, People’s Republic of China.
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Appendix: The finalized 14-item social metacognition inventory (SMI)
Appendix: The finalized 14-item social metacognition inventory (SMI)
Considering what generally happened in your mind and behavior during online collaborative argumentation, please indicate the extent of your agreement/disagreement with the statements by using the following inventory:
Item | Strongly disagree | Disagree | Neutral | Agree | Strongly agree |
---|---|---|---|---|---|
I believe that team members can take their own responsibilities for the group work | |||||
I believe that team members have the ability to work together in a group | |||||
I can follow other members’ responses | |||||
I can make a response to other members’ responses | |||||
I can focus attention on other members’ ideas, understanding, or comments | |||||
I can judge other persons’ emotions by reading the emoticons on QQ | |||||
I can judge other persons’ emotions by reading the text on QQ | |||||
I set goals to achieve a high level of collaborative argumentation for the group work | |||||
I ask questions or request extra information to deepen my thinking | |||||
I challenge myself or team members for better solutions | |||||
I give advice to other members to help our collaborative argumentation | |||||
I can judge whether or not the claims proposed by others are correct | |||||
I can judge whether or not the justifications put forward by others are clear and persuasive | |||||
I can judge whether or not the counterarguments proposed by others are correct |
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Zheng, XL., Gu, XY., Lai, WH. et al. Development of the social metacognition inventory for online collaborative argumentation: construct validity and reliability. Education Tech Research Dev 71, 949–971 (2023). https://doi.org/10.1007/s11423-023-10220-5
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DOI: https://doi.org/10.1007/s11423-023-10220-5