This paper explores the space of optimizing feedback mechanisms in complex domains
such as data science, by combining two prevailing approaches: Artificial Intelligence (AI) …

With recent advances in generative AI, conversational models like ChatGPT have become
feasible candidates for TAs. We investigate the practicality of using generative AI as TAs in …

The emergence of AI-Powered Short-Form Video Generators (ASVG) has showcased the
potential to streamline production time and foster creative ideas. Despite their widespread …

Engaging students in creating novel content, also referred to as learnersourcing, is
increasingly recognised as an effective approach to promoting higher-order learning, deeply …

Subgoal-labeled code examples help learners understand code patterns and apply them to
different problem contexts. Subgoal labels are multi-level in nature and based on goal …

Objects are indispensable tools in our daily lives. Recent research has demonstrated their
potential to act as conduits for digital interactions with microgestures, however, the primary …

Learning qualitative analysis requires personalized feedback and in-depth discussion not
possible for educators to provide in a large course, resulting in many students obtaining only …

Large Language Models (LLMs) have shown great potential in intelligent visualization
systems, especially for domain-specific applications. Integrating LLMs into visualization …

This study explores the effectiveness of student-AI collaborative feedback generation for
enhancing student feedback authors' learning outcomes. Situated in an online graduate …