369 citations · 1.2k across the 41 of their papers we have counts for
14 papers · 1 filter
Unsnarling the Red Tape: Computational Infrastructure for Regulatory Systems
Vinay K. Chaudhri, Henry F. Korth, Patrick A. McLaughlin +4
Regulatory complexity is increasingly recognized as an impediment to innovation, institutional responsiveness, and long-run economic growth, with regulatory accumulation estimated…
AI Literacy Assessment Revisited: A Task-Oriented Approach Aligned with Real-world Occupations
Christopher Bogart, Aparna Warrier, Arav Agarwal +6
As artificial intelligence (AI) systems become ubiquitous in professional contexts, there is an urgent need to equip workers, often with backgrounds outside of STEM, with the skill…
"I Like That You Have to Poke Around": Instructors on How Experiential Approaches to AI Literacy Spark Inquiry and Critical Thinking
Aparna Maya Warrier, Arav Agarwal, Jaromir Savelka +2
As artificial intelligence (AI) increasingly shapes decision-making across domains, there is a growing need to support AI literacy among learners beyond computer science. However,…
AI Literacy for Community Colleges: Instructors' Perspectives on Scenario-Based and Interactive Approaches to Teaching AI
Aparna Maya Warrier, Arav Agarwal, Jaromir Savelka +2
This research category full paper investigates how community college instructors evaluate interactive, no-code AI literacy resources designed for non-STEM learners. As artificial i…
AI Technicians: Developing Rapid Occupational Training Methods for a Competitive AI Workforce
Jaromir Savelka, Can Kultur, Arav Agarwal +4
The accelerating pace of developments in Artificial Intelligence~(AI) and the increasing role that technology plays in society necessitates substantial changes in the structure of…
Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools
James Prather, Juho Leinonen, Natalie Kiesler +12
Generative AI (GenAI) is advancing rapidly, and the literature in computing education is expanding almost as quickly. Initial responses to GenAI tools were mixed between panic and…
Desirable Characteristics for AI Teaching Assistants in Programming Education
Paul Denny, Stephen MacNeil, Jaromir Savelka +2
Providing timely and personalized feedback to large numbers of students is a long-standing challenge in programming courses. Relying on human teaching assistants (TAs) has been ext…
A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education
Jacob Doughty, Zipiao Wan, Anishka Bompelli +12
There is a constant need for educators to develop and maintain effective up-to-date assessments. While there is a growing body of research in computing education on utilizing large…
From GPT-3 to GPT-4: On the Evolving Efficacy of LLMs to Answer Multiple-choice Questions for Programming Classes in Higher Education
Jaromir Savelka, Arav Agarwal, Christopher Bogart +1
We explore the evolving efficacy of three generative pre-trained transformer (GPT) models in generating answers for multiple-choice questions (MCQ) from introductory and intermedia…
Efficient Classification of Student Help Requests in Programming Courses Using Large Language Models
Jaromir Savelka, Paul Denny, Mark Liffiton +1
The accurate classification of student help requests with respect to the type of help being sought can enable the tailoring of effective responses. Automatically classifying such r…
Patterns of Student Help-Seeking When Using a Large Language Model-Powered Programming Assistant
Brad Sheese, Mark Liffiton, Jaromir Savelka +1
Providing personalized assistance at scale is a long-standing challenge for computing educators, but a new generation of tools powered by large language models (LLMs) offers immens…
The Robots are Here: Navigating the Generative AI Revolution in Computing Education
James Prather, Paul Denny, Juho Leinonen +12
Recent advancements in artificial intelligence (AI) are fundamentally reshaping computing, with large language models (LLMs) now effectively being able to generate and interpret so…
CodeHelp: Using Large Language Models with Guardrails for Scalable Support in Programming Classes
Mark Liffiton, Brad Sheese, Jaromir Savelka +1
Computing educators face significant challenges in providing timely support to students, especially in large class settings. Large language models (LLMs) have emerged recently and…
Thrilled by Your Progress! Large Language Models (GPT-4) No Longer Struggle to Pass Assessments in Higher Education Programming Courses
Jaromir Savelka, Arav Agarwal, Marshall An +2
This paper studies recent developments in large language models' (LLM) abilities to pass assessments in introductory and intermediate Python programming courses at the postsecondar…