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Artificial Intelligence in Achieving Sustainable Development: Expectations of Undergraduate Students
Jinhee Kim – TechTrends: Linking Research and Practice to Improve Learning, 2025
While there has been ample discussion regarding Artificial Intelligence (AI)'s contributions and challenges on the development agenda at the policy level, little is known about how students translate the potential and barriers of AI in achieving Sustainable Development Goals (SDGs). Drawing upon various qualitative data, including class…
Descriptors: Artificial Intelligence, Sustainable Development, Undergraduate Students, Student Attitudes
Irwanto Irwanto; Ucu Cahyana; Ni Putu Sri Ayuni – Journal of Education and e-Learning Research, 2024
The COVID-19 epidemic has impacted higher education institutions across the country by switching traditional teaching practices to online learning. The attitudes of students towards elearning are essential to research in order to determine the extent to which successful implementation of online learning. Thus, this research aims to evaluate the…
Descriptors: Electronic Learning, Student Attitudes, COVID-19, Pandemics
Ridvan Kagan Agca; Özgen Korkmaz – International Journal of Technology in Education, 2025
The aim of this study was to determine the effect of training on the integration of artificial intelligence into education given to pre-service teachers on their concerns about artificial intelligence and their views on the integration of artificial intelligence into education. In this study, sequential explanatory design, one of the mixed…
Descriptors: Artificial Intelligence, Anxiety, Influence of Technology, Technology Uses in Education
Neha Parikh; Emily Hansen-Kiss; Walid Fakhouri; Julian N. Holland; Harold Henson; Richard Halpin – Biochemistry and Molecular Biology Education, 2024
The effectiveness of incorporating an audience response system (ARS) in improving the learning environment and student performance was assessed in a didactic biomedical science course at a large US dental school. Instructors and students were surveyed for their experiences of using Top Hat-based ARS in a multi-disciplinary biomedical science…
Descriptors: Biomedicine, Courses, Audience Response Systems, Educational Environment

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