AI-powered chatbots and digital teaching assistants (AI TAs) are gaining popularity in programming education, offering students timely and personalized feedback. Despite their potential benefits, concerns about student over-reliance and academic misconduct have prompted the introduction of “guardrails” into AI TAs … Continued
my-ai-university.com/ Abstract from article: We introduce AI University (AI-U), a flexible framework for AI-driven course content delivery that adapts to instructors’ teaching styles. At its core, AI-U fine-tunes a large language model (LLM) with retrieval-augmented generation (RAG) to generate instructor-aligned … Continued
This paper explores interaction designs for generative AI interfaces that necessitate human involvement throughout the generation process. We argue that such interfaces can promote cognitive engagement, agency, and thoughtful decision-making. Through a case study in text revision, we present and … Continued
Large Language Models (LLMs) have transformed human-computer interaction by enabling natural language-based communication with AI-powered chatbots. These models are designed to be intuitive and user-friendly, allowing users to articulate requests with minimal effort. However, despite their accessibility, studies reveal that … Continued
Large Language Models (LLMs) are now increasingly widely used to simulate personas in virtual environments, leveraging their instruction-following capability. However, we discovered that even state-of-the-art LLMs cannot simulate personas with reversed performance (e.g., student personas with low proficiency in educational … Continued
As researchers rush to investigate the potential of AI tools like ChatGPT to enhance learning, a number of well-known and well-documented pitfalls threaten the validity of this emerging research. Issues of media comparison research, where the confounding of instructional methods … Continued
Machine learning (ML) systems are vulnerable to performance decline over time due to dataset shift. To address this problem, experts often suggest that ML systems should be regularly updated to ensure ongoing performance stability. Some scholarly literature has begun to … Continued
The rise of Generative AI, and Large Language Models (LLMs) in particular, is fundamentally changing cognitive processes in knowledge work, raising critical questions about their impact on human reasoning and problem-solving capabilities. As these AI systems become increasingly integrated into … Continued
Heather Jorgenson recently present at the Society for Information Technology and Teacher Education (SITTE) conference in Orlando. Title: “Professional Learning Leaders’ Perspectives on How Automated and Personalized Feedback Reports Can Support Teacher Learning” Authors: Heather Jorgenson, Jamie Mikeska, and Dante … Continued
The rapid growth of artificial intelligence (AI) technologies has changed decision-making in many fields. But, it has also raised major privacy and ethical concerns. However, many AI incidents taxonomies and guidelines for academia, industry, and government lack grounding in real-world … Continued