Exploring AI-Driven Feedback as a Cultural Tool
A Cultural-Historical Perspective on Design of AI Environments to Support Students’ Writing Process
Datos Bibliográficos
| ID | 6071802 |
|---|---|
| Autores | Irina Engene (0000-0001-5948-4992, Østfold University of Applied Sciences, autor de correspondencia), Siv M Gamlem (0000-0002-6523-0486, Volda University College) |
| Año | 2025 |
| Volumen | 59 |
| Número | 1 |
| Páginas | 23-23 |
| Fecha de publicación | 2025-03-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Integrative Psychological and Behavioral Science (JOURNAL) |
| Identificadores de la revista | ISSN: 1932-4502 • E-ISSN: 1936-3567 |
| Editorial | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s12124-025-09894-8 |
| PMID | 39891855 |
| OpenAlex | W4407060439 |
| Idioma | EN |
| Citas recibidas | 10 |
| Referencias citadas | 51 |
This study draws on the cultural-historical perspectives of Vygotsky and Galperin to examine the role of AI-generated feedback within the Assessment for Learning (AfL) process in fostering students’ development as learners. By leveraging Galperin’s concept of cultural tools and the developmental role of human activity, elaborated in his dissertation written almost a hundred years ago, this study elucidates how this theoretical framework can enhance our understanding of the pedagogical value of individually tailored feedback from AI, ultimately contributing to human development and inspire the Design Principles (DPs) of AI-based educational technologies. Essay Assessment Technology (EAT), designed according to the suggested DPs, is presented to illustrate the application of AfL strategies in schools, highlighting its potential to enhance students’ learning and their development as learners
Cognitive science · Engineering ethics · Mathematics education · Perspective (graphical · Process (computing · Value (mathematics · Computer Science · Educational Assessment and Improvement · Engineering · Innovative Education and Learning Practices · Psychology · Student Assessment and Feedback · Artificial Intelligence
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| Obras citantes distintas | 10 |
|---|---|
| Citas por año | 10 |
| Intervalo de citas | 2025 - 2026 (2) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 9 |