Student Perceptions of Achieving Intended Learning Outcomes with Generative AI: A Study in Swedish Higher Education Using Qualitative Methods
(2025) SYSK16 20251Department of Informatics
- Abstract
- This qualitative study investigates the effect that Generative AI (GenAI) tools have on
students' achievement of Intended Learning Outcomes (ILOs) in higher education institutions
(HEIs), focusing on perceptions and utilizing the Structure of the Observed Learning
Outcome (SOLO) Taxonomy. Conducting several semi-structured interviews, the study
investigates the role of GenAI in potentially improving academic efficiency, accessibility and
critical thinking. Conversely, the research investigates its potential of hindering achieving
higher level learning outcomes because of concerns regarding over-reliance, ethical use and
limitations with GenAI. The findings from the empirical research reveals that students view
GenAI tools as useful... (More) - This qualitative study investigates the effect that Generative AI (GenAI) tools have on
students' achievement of Intended Learning Outcomes (ILOs) in higher education institutions
(HEIs), focusing on perceptions and utilizing the Structure of the Observed Learning
Outcome (SOLO) Taxonomy. Conducting several semi-structured interviews, the study
investigates the role of GenAI in potentially improving academic efficiency, accessibility and
critical thinking. Conversely, the research investigates its potential of hindering achieving
higher level learning outcomes because of concerns regarding over-reliance, ethical use and
limitations with GenAI. The findings from the empirical research reveals that students view
GenAI tools as useful for low level ILOs tasks, such as summarizing, brainstorming and language refinement but less effective when it comes to higher level outcomes that require a
deeper understanding. An emphasis is placed on the need for clear institutional policies and
guidelines which highlights the significance of responsible use of GenAI to complement the
learning process. The study additionally discusses the potential of a balanced human-AI
hybrid integration that may foster critical thinking while warning against potential disruptions
in the learning process if GenAI replaces crucial learning developments. The study concludes
by emphasizing responsible GenAI integration in HEIs, highlighting discipline specific
policies and balanced use. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9199497
- author
- Mendez, Denis LU and Tang, Richard LU
- supervisor
- organization
- course
- SYSK16 20251
- year
- 2025
- type
- M2 - Bachelor Degree
- subject
- keywords
- Artificial Intelligence, Generative AI, GenAI, ChatGPT, Intended Learning Outcomes, Student Perceptions, Higher Education Institutions, HEIs, University, Sweden, Solo Taxonomy
- language
- English
- id
- 9199497
- date added to LUP
- 2025-06-16 11:06:57
- date last changed
- 2025-06-16 11:06:57
@misc{9199497, abstract = {{This qualitative study investigates the effect that Generative AI (GenAI) tools have on students' achievement of Intended Learning Outcomes (ILOs) in higher education institutions (HEIs), focusing on perceptions and utilizing the Structure of the Observed Learning Outcome (SOLO) Taxonomy. Conducting several semi-structured interviews, the study investigates the role of GenAI in potentially improving academic efficiency, accessibility and critical thinking. Conversely, the research investigates its potential of hindering achieving higher level learning outcomes because of concerns regarding over-reliance, ethical use and limitations with GenAI. The findings from the empirical research reveals that students view GenAI tools as useful for low level ILOs tasks, such as summarizing, brainstorming and language refinement but less effective when it comes to higher level outcomes that require a deeper understanding. An emphasis is placed on the need for clear institutional policies and guidelines which highlights the significance of responsible use of GenAI to complement the learning process. The study additionally discusses the potential of a balanced human-AI hybrid integration that may foster critical thinking while warning against potential disruptions in the learning process if GenAI replaces crucial learning developments. The study concludes by emphasizing responsible GenAI integration in HEIs, highlighting discipline specific policies and balanced use.}}, author = {{Mendez, Denis and Tang, Richard}}, language = {{eng}}, note = {{Student Paper}}, title = {{Student Perceptions of Achieving Intended Learning Outcomes with Generative AI: A Study in Swedish Higher Education Using Qualitative Methods}}, year = {{2025}}, }