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University of Florida

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Photo of Ashish Aggarwal
Office MALA 4236 Gainesville FL 32611 Office Phone: 352-294-1385 Website: Home Page

Biography

Ashish Aggarwal is an Instructional Associate Professor of Computer Science in the Department of Engineering Education at the Herbert Wertheim College of Engineering, University of Florida. His research explores the intersection of Computer Science Education, Learning Analytics, and Artificial Intelligence, with a focus on developing innovative technologies and pedagogical approaches to enhance programming education. He directs the Computational Reasoning Group, where he mentors students on Computing Education Research and Learning Analytics projects. His current work includes developing AI-powered educational technologies, including applications of large language models (LLMs), for student assistance, assessment, and fostering learner agency.

Research Interests
Computer Science Education, Educational Technologies, Learning Analytics, Artificial Intelligence in Education, Mastery and Formative Learning, Behavioral Engagement Patterns, Flipped Classroom Methodologies, Educational Technology Design, AI Ethics Frameworks

Publications
See full list on Google Scholar.

Recent publications include work on behavioral engagement patterns in CS1 classes, AI ethics frameworks for decision-making, mastery learning in CS, and comparative studies of natural and programming language acquisition.

Major Research Projects

  • Leveraging LLMs into Programming Courses: Co-PI on $474,000 UF Presidents’ Strategic Initiative Grant, developing AI-powered tools for student assistance and assessment
  • YANTRA Edu: Mastery learning based application system for undergraduate programming courses
  • EdStream: Integrated messaging and collaboration tool for Canvas LMS
  • KAIZEN: An intelligent tutoring system powered by large language models that delivers immediate, adaptive instructional support and assessment within the Canvas LMS
  • CIPHER: A personalized learning assistant for courses in Canvas LMS
  • ANUMAAN: AI-Ethics Framework for Default Reasoning and Decision Making

Leadership & Service

  • Associate Editor, ACM Transactions on Computing Education (TOCE)
  • Program Committee: Senior Co-Chair, Posters Track, ACM SIGCSE-25; Junior Co-Chair, ACM SIGCSE-24; Co-Chair, ACM Student Research Competition at SIGCSE TS (2022 & 23)
  • Reviewer: ACM SIGCSE, ACM ITiCSE, ACM ICER, ACM TOCE, ACM CHI, EAAI, IEEE RESPECT

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