How Do We Know They are Learning? Student Data and the Synergies of Human and Artificial Intelligence (AI)
How Do We Know They are Learning? Student Data and the Synergies of Human and Artificial Intelligence (AI)
Author(s): Paul Prinsloo, Lisa Marie Blaschke, Don Olcott JrSubject(s): Social Sciences, Education, Higher Education
Published by: European Distance and E-Learning Network
Keywords: Big Data in Education and Learning Analytics; Artificial Intelligence; Technology-Enhanced Learning; Open Learning and Education;
Summary/Abstract: Artificial intelligence (AI) and the fourth industrial revolution have rapidly become the latest buzzwords in the education industry. Learning analytics and student data have become a central focal point in understanding and evaluating students in an attempt to improve upon the learning environment and experience. This paper explores the history and application of AI and learning analytics in higher education, and then discusses the role of AI in designing, delivering, and evaluating the online learning experience. The research presented shares the experience of an instructional team for two cohorts of an online graduate course and the team’s use of available data and learning analytics in delivering the course. Based on the literature and the instructional team’s experience, the paper then proposes a framework for the use of AI in online teaching and learning (OTL).
Journal: European Distance and E-Learning Network (EDEN) Conference Proceedings
- Issue Year: 2020
- Issue No: 1
- Page Range: 262-276
- Page Count: 15
- Language: English