Artificial intelligence has grown in importance in many application areas. However, the application in the education sector is in an embryonic state, where a variety of trials has been conducted. The purpose of this master’s thesis is to investigate the factors that influence the acceptability of AI chatbots by university students in higher education which might point subsequently to the lack of usage. The study also suggests the most appropriate communication areas of AI chatbot application in higher education suggested by students. For this study, the unified theory of Acceptance and Use of technology 2 (UTAUT2) has been compiled with the qualitative data gathered from semi-structured interviews and questionnaire surveys. The study participants are university students from various countries (Sweden, Norway, Finland, Czech Republic). The findings showed three primary constructs: Performance expectancy (PE), Effort expectancy (EE), and a newly proposed construct, Nonjudgmental expectancy (NE), to significantly predict intention to use AI chatbot technology without education intentionality. Students suggested using AI chatbots for recap of course material, study material recommendation, and exam and requirements information. Furthermore, this study provides a rationale behind AI chatbot acceptability based on students' generation characteristics. The results can guide universities to incorporate innovative solutions into their organization.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:lnu-108427 |
| Date | January 2021 |
| Creators | Slepankova, Marta |
| Publisher | Linnéuniversitetet, Institutionen för informatik (IK) |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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