RT conference output
T1 From Black Box to Glass Box: GenAI in Non-STEM Computing Education
A1 Gutiérrez Madroñal, Lorena
A1 Caballero Hernández, Juan Antonio
A1 Baena Pérez, Rubén
A1 Palomo Duarte, Manuel
A2 Ingeniería Informática
K1 Generative AI
K1 Prompt Engineering
K1 Glass box
K1 Non-STEM
K1 Higher Education
K1 Introductory Computing
AB The rapid integration of Generative AI into higher education challenges traditional assessment integrity. This quasi-experimental study analyses its impact on web development skills within an Advertising and Public Relations degree. Drawing on academic performance data, transparency logs, and student perception surveys across four distinct cohorts, the research traces the evolution from a pre-AI baseline through unregulated adoption to a regulated Glass box intervention. Quantitative analysis reveals that while unregulated adoption led to mark inflation, the Glass box protocol stabilised performance. Granular data exposes a dual impact: Generative AI hindered accuracy in foundational tasks due to unverified corrections, yet eliminated resubmissions in complex tasks. The paper contributes evidence-based guidelines for designing non-STEM assessments, demonstrating how Chain-of-Thought documentation converts GenAI from a threat into a verifiable auxiliary tool.
PB Springer, Cham
SN 978-3-032-37982-5
YR 2026
FD 2026-10-06
LK http://hdl.handle.net/10498/40370
UL http://hdl.handle.net/10498/40370
LA eng
NO Proyecto GENIALLE (ref. PID2023-149674OB-I00) de MICIU/AEI/10.13039/501100011033 y ERDF (EU).
DS Repositorio Institucional de la Universidad de Cádiz
RD 06-nov-2026