5 citations · 6 across the 3 of their papers we have counts for
4 papers
Making AI-Generated Feedback Matter: A Large-Scale Study of Feedback Workflows and Student Enactment
Omar Alsaiari, Nilufar Baghaei, Jason M. Lodge +3
Feedback processes strongly influence student learning, yet their educational value depends on addressing two distinct challenges: providing high-quality, timely, and individualise…
Directive, Metacognitive or a Blend of Both? A Comparison of AI-Generated Feedback Types on Student Engagement, Confidence, and Outcomes
Omar Alsaiari, Nilufar Baghaei, Jason M. Lodge +4
Feedback is one of the most powerful influences on student learning, with extensive research examining how best to implement it in educational settings. Increasingly, feedback is b…
Emotionally Enriched Feedback via Generative AI
Omar Alsaiari, Nilufar Baghaei, Hatim Lahza +3
This study investigates the impact of emotionally enriched AI feedback on student engagement and emotional responses in higher education. Leveraging the Control-Value Theory of Ach…
How critically can an AI think? A framework for evaluating the quality of thinking of generative artificial intelligence
Luke Zaphir, Jason M. Lodge, Jacinta Lisec +2
Generative AI such as those with large language models have created opportunities for innovative assessment design practices. Due to recent technological developments, there is a n…