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151	Natural Language Based AI Tools in Interaction Design Research : Using ChatGPT for Qualitative User Research Insight Analysis Saare, Karmen January 2024 (has links) This thesis investigates the use of Artificial Intelligence, specifically the Large Language Model (LLM) application ChatGPT in the context of qualitative user research, with the goal of enhancing the user research interview analysis process. Through an empirical study where ChatGPT was used in the process of a typical user research insight analysis, the limitations and opportunities of the AI tool are examined. The study's results highlight the most significant insights from the empirical investigation, serving as examples to raise awareness of the implications of using ChatGPT in the context of user interview analysis. The study concludes that ChatGPT has the potential to enhance the interpretation of primarily individual interviews by generating well-articulated summaries, provided their accuracy can be verified. Additionally, ChatGPT may be particularly useful in low-risk design projects where the consequences of potential misinterpretations are minimal. Finally, the significance of clearly articulated written instructions for ChatGPT for best results is pointed out. ChatGPT user research UX research methods qualitative research user interviews LLM NLP Computer and Information Sciences Data- och informationsvetenskap Human Computer Interaction Design Design
152	Enhancing Inclusivity in Swedish ESL Classrooms : Integrating Generative AI for Personalized Learning / Inkludering i engelska som andraspråk-klassrummet : Generativ AI för individualiserat lärande Mohammad Ali, Abrar January 2024 (has links) Focusing on personalized grammar tasks, this study dives into the integration of Generative Artificial Intelligence into English as a Second Language education. By utilizing a mixed methods approach, incorporating both qualitative and quantitative analyses the study explores how personalized learning can be improved by employing ChatGPT. Results from the study indicate that GAI-driven personalization significantly enhances student engagement and motivation. This offers a promising path for tailoring education to individual learner needs toward a more inclusive classroom. A central outcome of this study is the proposal of a new theoretical framework the Personalization-Motivation Integration Framework (PMIF). This framework clarifies the synergistic effects of integrating content and topic personalization to significantly boost student motivation and reach a more inclusive learning environment. This adds to the growing research about AI's potential in education as it indicates that these technologies can significantly enhance teaching and offer a more tailored and inclusive learning environment. ChatGPT GAI-based tools Personalized language learning ESL classroom ESL L2 Individualized learning Tailored tasks digital tools SDT Self-Determination Theory Chatbots Artificial Intelligence SAMR Adaptive learning educational tools Generative AI Inclusive teaching Inclusive education Didactics Didaktik Educational Sciences Utbildningsvetenskap Learning Lärande Pedagogy Pedagogik

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Natural Language Based AI Tools in Interaction Design Research : Using ChatGPT for Qualitative User Research Insight Analysis

Enhancing Inclusivity in Swedish ESL Classrooms : Integrating Generative AI for Personalized Learning / Inkludering i engelska som andraspråk-klassrummet : Generativ AI för individualiserat lärande