ASEE&T


Overview

The Academy for Software Engineering Education & Training (ASEE&T) Workshop is dedicated to supporting individuals involved in teaching software engineering and those responsible for curriculum development. This event provides a collaborative environment where educators and curriculum designers can share insights, discuss current trends, and develop effective teaching strategies.

Theme for This Year

The central theme for this year's workshop is AI and Software Engineering Education. The program will examine the growing impact of artificial intelligence on software engineering education.

Invited Speaker Presentations

Expert speakers have been invited to discuss several key aspects of the theme. The presentations may include:

Workshop Discussion and Strategy Development

Following the invited presentations, participants will engage in interactive workshop sessions. These discussions are intended to help attendees identify and address challenges related to AI in software engineering education.

Workshop Chairs


Nancy Mead's avatar
Professor Nancy Mead USA

Software Engineering Institute
Carnegie Mellon University
IEEE Fellow

Hossein Saiedian's avatar
Professor Hossein Saiedian USA

University of Kansas

Invited Talks (Alphabetical Order)


Talk: Beyond the Coding Debate: Building AI-Integrated Learning Ecosystems for IT and Software Engineering Education
Professor Lei Chen

Department of Information Technology

Georgia Southern University, USA

Talk: Allowing Students to Use ChatGPT? Whether, When, and How through the Lens of Programming Cognition
Professor Fuqun Huang

Department of Computer Science

Western Washington University, USA

Talk: To Teach Coding, or Not to Teach: The CS Dilemma
Professor In-Young Ko

Director of the Research Center for Big Data Edge Cloud Services (BECS)

Korea Advanced Institute of Science and Technology (KAIST), Korea

Talk: Build the Factory First: Teaching Students to Engineer Their LLM Workflows
Professor Scott Pavetti

School of Computer Science

Carnegie Mellon University, USA

Talk: PatchDB After Five Years: Experiences and Lessons Learned in Building a Dataset for AI-Enabled Software Vulnerability Research and Education
Professor Xinda Wang

Department of Computer Science

University of Texas at Dallas, USA