How Far Are We? The Triumphs and Trials of Generative AI in Learning Software Engineering
Conversational Generative AI (convo-genAI) can revolutionize Software Engineering (SE). Engineers and academics are embracing this technology in their work. However, there is a gap in understanding the current potential and pitfalls of this technology, specifically in supporting students in SE tasks. In this work, we evaluate through a between-subjects study (N=22) the effectiveness of ChatGPT (a convo-genAI platform) in assisting students in SE tasks. Our study did not find statistical differences in participants’ productivity or self-efficacy when using ChatGPT as compared to traditional resources, but it significantly increased frustration levels. It also revealed 5 distinct ChatGPT faults arising from violations of Human-AI interaction guidelines, which in turn led to 7 different (negative) consequences on participants.
Wed 17 AprDisplayed time zone: Lisbon change
11:00 - 12:30 | Generative AI studiesResearch Track / Software Engineering Education and Training at Luis de Freitas Branco Chair(s): Walid Maalej University of Hamburg | ||
11:00 15mTalk | ChatGPT Incorrectness Detection in Software Reviews Research Track Minaoar Hossain Tanzil University of Calgary, Canada, Junaed Younus Khan University of Calgary, Gias Uddin York University, Canada DOI Pre-print | ||
11:15 15mTalk | ChatGPT-Resistant Screening Instrument for Identifying Non-Programmers Research Track Raphael Serafini Ruhr University Bochum, Clemens Otto Ruhr University Bochum, Stefan Albert Horstmann Ruhr University Bochum, Alena Naiakshina Ruhr University Bochum | ||
11:30 15mTalk | Development in times of hype: How freelancers explore Generative AI? Research Track Mateusz Dolata University of Zurich, Norbert Lange Entschleunigung Lange, Gerhard Schwabe University of Zurich DOI Pre-print File Attached | ||
11:45 15mTalk | How Far Are We? The Triumphs and Trials of Generative AI in Learning Software Engineering Research Track Rudrajit Choudhuri Oregon State University, Dylan Liu Oregon State University, Igor Steinmacher Northern Arizona University, Marco Gerosa Northern Arizona University, Anita Sarma Oregon State University Pre-print | ||
12:00 15mResearch paper | Uncovering the Causes of Emotions in Software Developer Communication Using Zero-shot LLMs Research Track Mia Mohammad Imran Virginia Commonwealth University, Preetha Chatterjee Drexel University, USA, Kostadin Damevski Virginia Commonwealth University Pre-print | ||
12:15 15mTalk | Assessing AI Detectors in Identifying AI-Generated Code: Implications for Education Software Engineering Education and Training Wei Hung Pan School of Information Technology, Monash University Malaysia, Ming Jie Chok School of Information Technology, Monash University Malaysia, Jonathan Leong Shan Wong School of Information Technology, Monash University Malaysia, Yung Xin Shin School of Information Technology, Monash University Malaysia, Yeong Shian Poon School of Information Technology, Monash University Malaysia, Zhou Yang Singapore Management University, Chun Yong Chong Monash University Malaysia, David Lo Singapore Management University, Mei Kuan Lim Monash University Malaysia | ||