Lärares förtroende för AI-baserad utbildningsteknik : En studie inom högre utbildning i Singapore

Detta är en Kandidat-uppsats från KTH/Skolan för elektroteknik och datavetenskap (EECS)

Sammanfattning: Recently, there has been an increasing shift in education, where various digital technologies are applied to a greater extent. One of the emerging educational technologies is artificial intelligence (AI) technology, which is often argued to have the potential to reshape the traditional educational landscape through for example intelligent guidance and assessment systems, as well as personal learning environments. An article in Artificial Intelligence Review states that the education sector at universities is increasingly characterized by AI used by teachers and students, consisting of intelligent tutoring systems, teaching robots, and adaptive learning systems. Trust - which is considered the cornerstone of humanity's relationship with AI - is essential to this transformation. There is a considerable knowledge gap regarding how teachers experience trust in AI-based education technology, within higher education. Therefore, this exploratory case study aims to examine teachers' trust in AI, and more specifically within the context of Singaporean higher education. This study is based on an online survey where eight teachers participated. Although that is a low count of participants, the study explores the perceived trust in, and benefits of AI in an academic environment. Furthermore, where there is a lack of trust in AI diagnosis, it is due to the fact that today's AI technology often consists of black-box models that lack transparency of the system's internal functions work. Finally, concerning how teachers work alongside AI to improve pedagogy, the study concludes that implementing AI-based technology in higher education will never replace the traditional education system in terms of social interaction.

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