Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them. Project number: 2023-1-NL01-KA220-HED-000155675. Implications for practice Use of AI chatbots in educational settings requires digital competence among educators as well as students. This competence involves a combination of technical, pedagogical, and didactic skills, as well as knowledge related to the content and methods of the subjects and ethical and responsible use. In addition, educators' digital competence is linked to developing students' digital competence. To enhance competence and contribute to the development of pedagogical practices related to the use of AI chatbots in teaching and learning, a research-oriented approach is recommended. This involves systematically developing and testing activities, investigating them using various methods, and sharing and discussing experiences within a collegial community. Case Study 15: Exploring the Potential of Artificial Intelligence in Addressing Pedagogical Challenges and Improving Group Work Quality in Higher Education General information Sarkheyli, A. (2023). Exploring the Potential of Artificial Intelligence in Addressing Pedagogical Challenges and Improving Group Work Quality in Higher Education. Proc. of the 4th International Conference on Electrical, Communication and Computer Engineering (ICECCE) 30-31 December 2023, Dubai, UAE. https://doi.org/10.1109/ICECCE61019.2023.10442360 University/ HEI: School of Information and Engineering, Dalarna University, Sweden Course and subject domain: No specific, HEI-wide Aim: Demonstrate the immense potential of AI in improving the quality of group work in higher education institutions Target group: HEI teachers and students Description of case AI tool used: None specific, only AI as a generic framework to support collaborative and group-work among students and teachers. The researchers proposed ITS, ALP, XR, chatbots and Virtual Assistants, AGS, NLP, DA-LA. A detailed description of what happened: In this study, various models were examined in order to propose a framework of AI-based group work in HEIs. Students group-work models, IS, AI, BCN TPB were presented accordingly.
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