Reflecting on what counts as collaboration: Reaching forward without losing what is behind.
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| Title: | Reflecting on what counts as collaboration: Reaching forward without losing what is behind. |
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| Authors: | Järvelä, Sanna1 (AUTHOR), Rosé, Carolyn P.2 (AUTHOR) cp3a@andrew.cmu.edu |
| Source: | International Journal of Computer-Supported Collaborative Learning. Dec2023, Vol. 18 Issue 4, p457-464. 8p. |
| Subject Terms: | *Machine learning, *Scientific knowledge, *Artificial intelligence, *Educational technology, Chatbots, Cognitive computing, Virtual communities |
| Abstract: | This article reflects on the past four years and the future of the research community in computer-supported collaborative learning (CSCL). It discusses the essence of collaboration and how to maintain the community's identity while embracing new ideas. The article also explores advancements in technology, the expansion of collaboration in different modalities, and the study of new phenomena in CSCL. It emphasizes the need for interdisciplinary collaboration and considering societal needs in CSCL research. Additionally, the article discusses the challenges and opportunities of integrating artificial intelligence (AI) into CSCL research, including collaborating with AI agents and developing hybrid human-AI systems. It highlights several research articles in this edition, covering topics such as collaborative problem-solving, the role of first-language heterogeneity in CSCL, the effect of prior knowledge on collaborative interactions, and the use of guiding dashboards for teachers in collaborative learning environments. The authors express their excitement about the multidisciplinary expansion of the field and welcome new chief editors for future editions. [Extracted from the article] |
| Copyright of International Journal of Computer-Supported Collaborative Learning is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
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