School of Languages at XJTLU Conference 2024

In the context of rethinking assessments in the age of generative AI (GAI), the effective engagement of students with feedback remains a critical concern within educational settings. Existing research highlights the challenge, as students often exhibit a failure to act on feedback and persistently repeat errors across tasks (Lee, 2008). Winstone et al. (2017) identify several factors behind this issue from the perspective of students, including difficulties in decoding feedback, lacking knowledge about effective strategies, and struggling with the translation of feedback into actionable steps.

In our presentation, we introduce one intervention strategically crafted to address these challenges and enhance students' efficacy in incorporating provided feedback into their EAP learning process. The intervention leverages generative AI chatbots in conjunction with a task sheet containing instructions and prompts guiding students to address issues highlighted in teacher feedback. Students are actively encouraged to evaluate solutions provided by the chatbot through collaborative discussions before making revisions.

By drawing on existing literature, our observation centers on the cognitive, behavioral, and affective engagement of students with teacher feedback through these innovative pedagogical approaches and highlights the potential implications for academic integrity and the need to promote students’ AI literacy, including how to draft effective prompts and how to use GAI ethically.

The presentation aims to provide valuable insights into effective strategies for overcoming barriers to feedback engagement and fostering a proactive and empowered student response to feedback, particularly in the context of the evolving landscape shaped by generative AI.