Supporting data for "Developing Virtual Teamwork Competency with Generative AI in Higher Education: A Focus on Engineering Students"

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Authors: Wenjie Hu
Cited by: 0

Abstract

This research aims to systematically develop, implement, and evaluate a generative AI-based training tool for cultivating virtual teamwork competency in engineering education. The study comprises three sequential phases with distinct methodological and participant focuses. In Study 1, qualitative data were collected through focus group interviews with engineering students and a Delphi panel of 20 experts (10 educators and 10 industry professionals) to develop and validate a behavior-oriented competency framework. Study 2 employed a human-centered design process involving semi-structured interviews and co-design sessions with engineering instructors and students to develop a generative AI-based training tool. Study 3 evaluated the tool's pedagogical effectiveness through interaction analysis from 41 students and reflection reports from 72 student participants who engaged with the AI-supported training scenarios.

Fields of Study & Subjects

Artificial Intelligence in Education Problem and Project Based Learning Team Dynamics and Performance

Publication details

Journal / source
Hong Kong University
Publication date
1 January 2026
Language
EN
Document type
Dataset