Advancing Education: AI-Enabled Synergistic Feedback for Higher Learning (Poster 33)

• In Event: Saturday Poster Session 1:15 pm
  In Poster Session: Advanced Technologies for Learning SIG Poster Session

Abstract

This paper explores the concept of synergistic feedback in education, with a focus on the integration of artificial intelligence (AI) and peer/human reviews using a mapping tool called (tool name redacted). Synergistic feedback refers to valuable, timely feedback provided to learners at the point of need, utilizing multiple assessment perspectives. (Tool name redacted) offers annotation and concept mapping capabilities. Through the integration of ChatGPT-3, the tool enables students to receive AI-generated feedback aligned with course rubrics, alongside peer and AI feedback. This paper examines students' perceptions of the synergistic feedback process facilitated by the mapping tool.

Authors

• Vania Castro, University of Illinois at Urbana-Champaign

• Anastasia Olga Tzirides, University of Illinois at Urbana-Champaign

• Akash Kumar Saini, University of Illinois at Urbana-Champaign

• Mary Kalantzis, University of Illinois at Urbana-Champaign

• William Cope, University of Illinois at Urbana-Champaign

• Gabriela Zapata, University of Nottingham