Artificial Intelligence–Enhanced Analytical Collaborations Between Researchers and Educational Stakeholders for Oversight of Multiple Pedagogical Systems

• In Event: AERA Poster Session 1
  In Poster Session: Technology as an Agent of Change in Teaching and Learning SIG Poster Session

Abstract

Artificial intelligence (AI) can be used for researchers and educational stakeholders to collaboratively analyze data from pedagogical systems at the micro level (e.g., a class of students, or a school), at the meso level (e.g., multiple projects in a programmatic research), and at the macro level (e.g., multiple pedagogical systems in an educational eco-system), so that further steps could be taken to address problems if necessary. Four examples are provided in the current paper to illustrate how collaborative oversights of pedagogical systems could be implemented using an artificial intelligence-based Bayesian networks analytical tool. This collaborative approach could contribute to the robustness and resiliency of pedagogical systems, inform policy making strategies, and advance the practices of researchers and educational stakeholders.

Authors

• Meng-Leong How, Nanyang Technological University - National Institute of Education

• Wei Loong David Hung, Nanyang Technological University - National Institute of Education