Maoinithe ag an Aontas Eorpach. Mar sin féin is tuairimí agus tuairimí an údair amháin nó na n-údar amháin iad na tuairimí agus na tuairimí a nochtar agus ní gá go léiríonn siad tuairimí an Aontais Eorpaigh nó na Gníomhaireachta Eorpaí Feidhmiúcháin Oideachais agus Cultúir (EACEA). Ní fhéadfar an tAontas Eorpach ná EACEA a chur i gcuntas astu. Uimhir an tionscadail: 2023-1-NL01-KA220-HED-000155675. Cás-Staidéar 17: Féidearthachtaí na hIntleachta Saorga san Oideachas Measúnú ar ról na gcomhrábot AI mar mheán cumarsáide san ardoideachas General information Slepankova, M. (2021). Possibilities of Artificial Intelligence in Education An Assessment of the role of AI chatbots as a communication medium in higher education. Master Thesis, Linnaeus University. https://doi.org/10.1109/ICECCE61019.2023.10442360 University/ HEI: Linnaeus University, Sweden Course and subject domain: No specific Aim: Investigate the factors that influence the acceptability of AI chatbots by university students in HE which might point subsequently to the lack of usage. The study also suggests the most appropriate communication areas of AI chatbot application in HE suggested by students. The thesis utilises the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model to find the predictors of AI chatbots acceptability in HEIs. Target group: Students Description of case AI tool used: No specific A detailed description of what happened: A mixed-mode survey-research among students. Lessons learned Non-judgmental expectancy, Performance expectancy, and Effort expectancy have been concluded as the main predictors of acceptability. These constructs can positively influence the AI chatbot acceptability by providing an easy-to-use, unbiased, 24/7 available solution for simple educational, informative, and assistance tasks. Further, fast information provision positively impacts students' inner well-being by eliminating negative feelings associated with waiting. Students suggested that most possible applications of AI chatbots are in communication areas concerning recap of course material, study material recommendation and exam and requirements information. Implications for practice This master’s thesis can then be used as a base for the framework for AI chatbot application in HE, part of the digital strategy proposal of some universities or policymakers, or as an inspiration for proof of concept to justify if the concept has practical potential. For instance, the study could be used when an educational institution decides to implement rule-based or AI-based chatbots, alternatively, whether the AI designers would like to address specific consumers' intent, such as not being judged.
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