The impact of AI tools on students learning in higher education
Wickramasinghe, Nelum (2025)
2025
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2025052918030
https://urn.fi/URN:NBN:fi:amk-2025052918030
Tiivistelmä
Higher education is rapidly changing with the arrival of Artificial intelligence.AI tools such as assignment assistants, grammar checkers, and automated feedback systems have become an important part of students’ academic activities. Although these resources are helpful, there are concerns with quality of academic work, critical thinking, and ethical considerations. It is important to understand how AI is using in higher education to make sure that AI improves learning rather than removing basic academic skills.
This thesis explored the impact of using AI tools on student learning in higher education with focus on degree students at Oulu University of Applied Sciences. The study aimed to assess current AI usage, identify benefits and risks, ethical considerations and provide recommendations for optimizing the integration of AI tools in academic learning at OAMK.
The literature review consists of an introduction to AI, key types and techniques, the evolution and trends, AI tools and theories. The literature review sources based on academic journals, books, and online articles from reputed sites. The thesis used a mixed method approach combining with a survey and semi-structured interviews. A survey was conducted to identify user demographics, current usage, student perceptions, and ethical implications. Semi structured interviews conducted with selected five students for deeper qualitative insights into students’ perceptions and experiences. Thematic analysis used to identify common patterns of qualitative data. Statistical analysis is used on quantitative data to identify trends and correlations of using AI among students in academic work.
This thesis provides a valuable insight into the impact of using AI tools on student learning in higher education at Oulu University of Applied Sciences.
This thesis explored the impact of using AI tools on student learning in higher education with focus on degree students at Oulu University of Applied Sciences. The study aimed to assess current AI usage, identify benefits and risks, ethical considerations and provide recommendations for optimizing the integration of AI tools in academic learning at OAMK.
The literature review consists of an introduction to AI, key types and techniques, the evolution and trends, AI tools and theories. The literature review sources based on academic journals, books, and online articles from reputed sites. The thesis used a mixed method approach combining with a survey and semi-structured interviews. A survey was conducted to identify user demographics, current usage, student perceptions, and ethical implications. Semi structured interviews conducted with selected five students for deeper qualitative insights into students’ perceptions and experiences. Thematic analysis used to identify common patterns of qualitative data. Statistical analysis is used on quantitative data to identify trends and correlations of using AI among students in academic work.
This thesis provides a valuable insight into the impact of using AI tools on student learning in higher education at Oulu University of Applied Sciences.