The Impact of Artificial Intelligence in Teaching, Research and Service
Artificial Intelligence (AI) is a scholarly field that strives to create intelligent machines that imitate human behavior and thinking. AI tools can handle tasks that require human cognition and decision-making skills. As AI advances and permeates various aspects of society, understanding its value and potential risks in academic environments becomes crucial. Universities and other higher education institutions need to ensure students are equipped with the necessary skills and competence to use AI responsibly while ensuring their responsible teaching, research, and service implementation.
In this seminar, we will explore the impact of AI in higher education, specifically focusing on the recent proliferation of AI tools in teaching, learning, and research. Our discussion will focus on Generative Pre-trained Transformers (GPTs), large language models trained on extensive datasets that have recently profoundly impacted the higher education sector.
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Ben Kei Daniel
Ben Kei Daniel, Ph.D., SMIEEE, is a Professor of Higher Education and the Head of the Department of Higher Education Development Centre at the University of Otago, New Zealand. He holds a Ph.D. in Educational Technology and Artificial Intelligence in Education (AIED) from the University of Saskatchewan in Canada. At Otago, he is the convenor for Educational Technology strategic initiatives. He is an international award-winning research methodologist with extensive theoretical and practical experience in several research methodologies. He teaches Artificial Intelligence in Education (AIED), research methodology (Quantitative, Qualitative, and Mixed Methods), and Educational Technology. His research focuses on investigating Big Data and Analytics in higher education.