Comparing teacher comments to AI feedback: What students prefer and what is better for them

• In Event: AERA Graduate Student Research-in-Progress Roundtable Session 1
  In Roundtable Session: Applications of Artificial Intelligence (AI) in Teaching and Learning (Table 4)

Abstract

There is a rapid proliferation of Artificial intelligence (AI) tools and students are using those in their academic work. These tools have the potential to offer timely feedback to enhance students' writing performances. Our goal with this experimental study is to investigate students' improvement on a writing task following the use of teacher comments or AI feedback. Additionally, we examine whether human and AI feedback result in differential judgments of helpfulness and utility and whether they elicit different emotional responses from students. To further this investigation, expert teachers are asked to assess the quality of both human and AI generated feedback, and differences in their judgments are explored.

Author

• Ligia Tomazin, Graduate Center - CUNY