Pub Date : 2023-11-11DOI: 10.1007/s11412-023-09411-2
Natalia Reich-Stiebert, Jan-Bennet Voltmer, Jennifer Raimann, Stefan Stürmer
Abstract The acquisition of online interaction competencies is an important learning objective. The present study explored the relationships between the first-language heterogeneity of computer-supported collaborative learning (CSCL) groups and the development of students’ online interaction self-efficacy via a pretest–posttest design in the context of a nine-week CSCL course. The research participants were 1525 freshmen receiving distance education who were randomly assigned to 343 CSCL groups. Independent of their own language status, students in CSCL groups featuring first-language heterogeneity exhibited lower precourse–postcourse gains in online interaction self-efficacy than students in groups without heterogeneity. Consistent with a theoretically derived moderation model, the relationships between first-language heterogeneity and self-efficacy gains were moderated by the amount of time that the groups spent on task-related communication during the initial collaboration phase (i.e., the relationships were significant when little time was spent on it but not when a great deal of time was spent on it). In contrast, the amount of time that groups spent on communication related to getting to know each other was ineffective as a significant moderator. Follow-up analyses indicated that time spent getting to know each other in first-language heterogeneous CSCL groups seems to have had the paradoxical effect of increasing rather than decreasing perceptions of heterogeneity among group members. Apparently, this effect impaired online interaction self-efficacy gains.
{"title":"The role of first-language heterogeneity in the acquisition of online interaction self-efficacy in CSCL","authors":"Natalia Reich-Stiebert, Jan-Bennet Voltmer, Jennifer Raimann, Stefan Stürmer","doi":"10.1007/s11412-023-09411-2","DOIUrl":"https://doi.org/10.1007/s11412-023-09411-2","url":null,"abstract":"Abstract The acquisition of online interaction competencies is an important learning objective. The present study explored the relationships between the first-language heterogeneity of computer-supported collaborative learning (CSCL) groups and the development of students’ online interaction self-efficacy via a pretest–posttest design in the context of a nine-week CSCL course. The research participants were 1525 freshmen receiving distance education who were randomly assigned to 343 CSCL groups. Independent of their own language status, students in CSCL groups featuring first-language heterogeneity exhibited lower precourse–postcourse gains in online interaction self-efficacy than students in groups without heterogeneity. Consistent with a theoretically derived moderation model, the relationships between first-language heterogeneity and self-efficacy gains were moderated by the amount of time that the groups spent on task-related communication during the initial collaboration phase (i.e., the relationships were significant when little time was spent on it but not when a great deal of time was spent on it). In contrast, the amount of time that groups spent on communication related to getting to know each other was ineffective as a significant moderator. Follow-up analyses indicated that time spent getting to know each other in first-language heterogeneous CSCL groups seems to have had the paradoxical effect of increasing rather than decreasing perceptions of heterogeneity among group members. Apparently, this effect impaired online interaction self-efficacy gains.","PeriodicalId":47189,"journal":{"name":"International Journal of Computer-Supported Collaborative Learning","volume":"49 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135042962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-20DOI: 10.1007/s11412-023-09409-w
Ulrike Cress, Joachim Kimmerle
Abstract Generative Artificial Intelligence (AI) tools, such as ChatGPT, have received great attention from researchers, the media, and the public. They are gladly and frequently used for text production by many people. These tools have undeniable strengths but also weaknesses that must be addressed. In this squib we ask to what extent these tools can be employed by users for individual learning as well as for knowledge construction to spark a collective endeavor of developing new insights. We take a social, collective notion of knowledge as a basis and argue that users need to establish a dialog that goes beyond knowledge telling (simply writing what one knows) and stimulates knowledge transformation (converting knowledge into complex relational argumentation structures). Generative AI tools do not have any conceptual knowledge or conscious understanding, as they only use word transitions and rely on probabilities of word classes. We suggest, however, that argumentative dialogs among humans and AI tools can be achieved with appropriate prompts, where emergent processes of joint knowledge construction can take place. Based on this assumption, we inquire into the human and into the AI parts of communication and text production. For our line of argument, we borrow from research on individual and collaborative writing, group cognition, and the co-evolution of cognitive and social systems. We outline future CSCL research paths that might take the human-AI co-construction of knowledge into account in terms of terminology, theory, and methodology.
{"title":"Co-constructing knowledge with generative AI tools: Reflections from a CSCL perspective","authors":"Ulrike Cress, Joachim Kimmerle","doi":"10.1007/s11412-023-09409-w","DOIUrl":"https://doi.org/10.1007/s11412-023-09409-w","url":null,"abstract":"Abstract Generative Artificial Intelligence (AI) tools, such as ChatGPT, have received great attention from researchers, the media, and the public. They are gladly and frequently used for text production by many people. These tools have undeniable strengths but also weaknesses that must be addressed. In this squib we ask to what extent these tools can be employed by users for individual learning as well as for knowledge construction to spark a collective endeavor of developing new insights. We take a social, collective notion of knowledge as a basis and argue that users need to establish a dialog that goes beyond knowledge telling (simply writing what one knows) and stimulates knowledge transformation (converting knowledge into complex relational argumentation structures). Generative AI tools do not have any conceptual knowledge or conscious understanding, as they only use word transitions and rely on probabilities of word classes. We suggest, however, that argumentative dialogs among humans and AI tools can be achieved with appropriate prompts, where emergent processes of joint knowledge construction can take place. Based on this assumption, we inquire into the human and into the AI parts of communication and text production. For our line of argument, we borrow from research on individual and collaborative writing, group cognition, and the co-evolution of cognitive and social systems. We outline future CSCL research paths that might take the human-AI co-construction of knowledge into account in terms of terminology, theory, and methodology.","PeriodicalId":47189,"journal":{"name":"International Journal of Computer-Supported Collaborative Learning","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135616846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-03DOI: 10.22318/cscl2023.596913
Constanze Richters, Matthias Stadler, Laura Brandl, Ralf Schmidmaier, Martin R. Fischer, Frank Fischer
{"title":"Reflection on Collaborative Action: Fostering Collaborative Diagnostic Reasoning in an Agent-Based Medical Simulation","authors":"Constanze Richters, Matthias Stadler, Laura Brandl, Ralf Schmidmaier, Martin R. Fischer, Frank Fischer","doi":"10.22318/cscl2023.596913","DOIUrl":"https://doi.org/10.22318/cscl2023.596913","url":null,"abstract":"","PeriodicalId":47189,"journal":{"name":"International Journal of Computer-Supported Collaborative Learning","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135788902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-03DOI: 10.22318/cscl2023.276803
Yawen Yu, Carol K. K. Chan, Chew Lee Teo, Gaowei Chen
{"title":"Examining and Scaffolding Collective Idea Improvement in Knowledge Building Using Analytics and Meta-Discourse","authors":"Yawen Yu, Carol K. K. Chan, Chew Lee Teo, Gaowei Chen","doi":"10.22318/cscl2023.276803","DOIUrl":"https://doi.org/10.22318/cscl2023.276803","url":null,"abstract":"","PeriodicalId":47189,"journal":{"name":"International Journal of Computer-Supported Collaborative Learning","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135788923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-03DOI: 10.22318/cscl2023.513971
Yu Xia, Shulong Yan, Marcela Borge
{"title":"Emotion Expressions as Negotiations of Critical Technology Tool Use in Small Group Collaborative Design","authors":"Yu Xia, Shulong Yan, Marcela Borge","doi":"10.22318/cscl2023.513971","DOIUrl":"https://doi.org/10.22318/cscl2023.513971","url":null,"abstract":"","PeriodicalId":47189,"journal":{"name":"International Journal of Computer-Supported Collaborative Learning","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135789308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-03DOI: 10.22318/cscl2023.111030
Katherine S. Moore, Helen Zhang, Pawan Gupta, Zoe Kuhlken, Haolin Li, Irene Lee
{"title":"Online vs In-Person Professional Learning Communities: A Qualitative Comparison of Teacher Learning Experiences","authors":"Katherine S. Moore, Helen Zhang, Pawan Gupta, Zoe Kuhlken, Haolin Li, Irene Lee","doi":"10.22318/cscl2023.111030","DOIUrl":"https://doi.org/10.22318/cscl2023.111030","url":null,"abstract":"","PeriodicalId":47189,"journal":{"name":"International Journal of Computer-Supported Collaborative Learning","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135789326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-03DOI: 10.22318/cscl2023.646732
Toshio Mochizuki, Eowyn P. O’Dwyer, Clark A. Chinn, None Myat Min Swe, None Htay Min Khaung, Seiji Sekine
{"title":"Epistemic Scaffolds to Promote Disagreement Identification and Resolution for Multiple Conflicting Documents","authors":"Toshio Mochizuki, Eowyn P. O’Dwyer, Clark A. Chinn, None Myat Min Swe, None Htay Min Khaung, Seiji Sekine","doi":"10.22318/cscl2023.646732","DOIUrl":"https://doi.org/10.22318/cscl2023.646732","url":null,"abstract":"","PeriodicalId":47189,"journal":{"name":"International Journal of Computer-Supported Collaborative Learning","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135788924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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