Optimizing the use of artificial intelligence amongst students of higher education
Nesiama, Raymond Toritseju; Belmejdoub, Yassir (2025)
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2025060921553
https://urn.fi/URN:NBN:fi:amk-2025060921553
Tiivistelmä
This thesis explores the ways in which Artificial Intelligence (AI) tools are used by students in higher education, with reference to ethical awareness, patterns of use, and institutional preparedness. The accelerated adoption of generative AI platforms, such as ChatGPT, Grammarly, and DeepL, within academic workflows has transformed learning habits and questioned cur-rent educational conventions. The research seeks to evaluate how students interact with these tools, the perceived advantages and threats, and the degree to which they respect ethical AI standards.
The research employs a mixed-method approach combining quantitative surveys (n=111) and qualitative interviews (n=10) to gather a comprehensive view of AI engagement across multiple academic disciplines in Europe. Survey results reveal widespread use of AI for structuring assignments, idea generation, and translation, while interviews highlight growing student concerns about academic integrity, data privacy, and cognitive overreliance. Findings were ana-lysed using thematic coding and compared against the UNESCO AI Competency Framework for Students (2024).
The research employs a mixed-method approach combining quantitative surveys (n=111) and qualitative interviews (n=10) to gather a comprehensive view of AI engagement across multiple academic disciplines in Europe. Survey results reveal widespread use of AI for structuring assignments, idea generation, and translation, while interviews highlight growing student concerns about academic integrity, data privacy, and cognitive overreliance. Findings were ana-lysed using thematic coding and compared against the UNESCO AI Competency Framework for Students (2024).