Future mathematics teachers’ perception of artificial intelligence integration in assessment in a digital technologies course

 

Guardat en:
Dades bibliogràfiques
Autor: Borbón-Alpízar, Alexander
Format: artículo original
Estat:Versión publicada
Data de publicació:2026
Descripció:The integration of generative Artificial Intelligence (AI) in higher education requires understanding student perceptions. This study analyzed the views of pre-service mathematics teachers (N=14) on using ChatGPT as an assessment tool in a university course. Through a mixed-methods approach, their perceptions of the quality of feedback and the validity of AI-generated grades were explored. The findings reveal a fundamental dichotomy: students positively value AI as a formative feedback tool, recognizing its utility for improvement. However, they express significant distrust in its role as a summative assessment agent, perceiving it as incapable of making holistic judgments. The analysis suggests that students view the instructor and AI as agents with complementary strengths, outlining an “augmented assessment” model. The opacity of the AI’s process (the “black box” problem) was identified as a critical barrier. Although a majority (57.1%) prefers human grading, a significant minority (42.9%) leans towards AI, valuing its immediacy and objectivity. It is concluded that the most promising role for AI in assessment is not that of an autonomous judge, but of an assessment copilot that enhances the instructor’s capabilities.
Pais:Portal de Revistas TEC
Institution:Instituto Tecnológico de Costa Rica
Repositorio:Portal de Revistas TEC
Idioma:Español
OAI Identifier:oai:ojs.pkp.sfu.ca:article/8517
Accés en línia:https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/8517
Paraula clau:Artificial intelligence
student attitudes
teacher education
mathematics education
teacher role
Inteligencia artificial
evaluación del estudiante
actitud del estudiante
formación de docentes
enseñanza de las matemáticas
rol del docente