Human and AI-generated feedback in higher education: A systematic review of effectiveness and student perceptions

This study aims to compare the feedback provided by human professors and ChatGPT on university students’ work and to report on students’ perceptions of both types of feedback. A systematic review was conducted following PRISMA 2020 guidelines. Databases research included Web of Science, Scopus, EBSC...

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Autores principales: Candy Haydee Guardia Paniura, Timoteo Cueva Luza, Favio Mauricio Cruz-Carpio, Raúl Reynaldo Ito Díaz, David Victor Apaza-Paco, Nilda Rosas Rojas, Benedicta Mamani-Mamani, Ángel Terrero-Pérez, Renato Yassutaka Faria Yaedú, Mariela Peralta-Mamani
Formato: Artículo de revisión
Lenguaje:inglés
Publicado: 2026
Materias:
AI-generated feedback
ChatGPT
human feedback
student perceptions
higher education
university students
hybrid feedback
emotional support
personalized feedback
artificial intelligence in education
Artificial Intelligence in Education
Student Assessment and Feedback
Intelligent Tutoring Systems and Adaptive Learning
Acceso en línea:Enlace permanente (DOI o Handle)
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