From Design to Classroom Adoption: Teachers' Perspectives on AI‐powered Writing Analytics in Resource‐Constrained Contexts
ABSTRACT Background The adoption of automated tools to support teaching and learning processes has been widely discussed in the literature. However, there remains a need for user‐oriented designs that better align with teachers' practices and classroom realities while providing actionable insights to support instructional choices in authentic educational settings. Objectives This study aims to systematically evaluate the usability, acceptability and pedagogical relevance of an AIED‐Unplugged learning analytics tool from teachers' perspectives, in order to guide the development of user‐centered design strategies and support writing practices in resource‐constrained educational settings without deepening digital inequities. The proposed study also aims to derive pedagogical and user‐centered design recommendations to strengthen the development of AIED‐U solutions for resource‐constrained educational settings. Method We employed a mixed‐methods approach involving nine teachers, who downloaded an AIED‐U application and followed a predefined usage scenario according to a think‐aloud protocol. Afterwards, participants filled out the Technology Acceptance Model (TAM) and System Usability Scale (SUS) questionnaires, taking part in a moderated semi‐structured interview guided by an interview script. Results and Conclusion The study shows how AI‐driven educational tools can support personalization and the development of essay‐writing activities in resource‐constrained contexts while optimizing teachers'time and contributing to students' writing development. The quantitative findings indicated high levels of acceptance and usability, corroborating the qualitative findings that teachers perceived the solution as useful, easy to integrate and supportive of their practices. Taken together, these findings provide empirical evidence of teachers' perceptions regarding the tool's usability, usefulness and potential applicability within authentic classroom workflows in resource‐constrained educational environments.
Authors
- Rafael Ferreira Mello (ORCID: https://orcid.org/0000-0003-3548-9670)
- Hendrik Drachsler (ORCID: https://orcid.org/0000-0001-8407-5314)
- Dragan Gašević (ORCID: https://orcid.org/0000-0001-9265-1908)
- Newarney Torrezão da Costa (ORCID: https://orcid.org/0000-0002-4954-176X)
- Cleon Xavier (ORCID: https://orcid.org/0000-0002-7617-5283)
- Fabíola Gonçalves Coelho Ribeiro (ORCID: https://orcid.org/0000-0002-3303-9396)
- Luiz Rodrigues (ORCID: https://orcid.org/0000-0003-0343-3701)
- Anderson Pinheiro Cavalcanti (ORCID: https://orcid.org/0000-0002-5228-1583)
- Jamilla Lobo (ORCID: https://orcid.org/0009-0002-8701-7261)
Institutions
- Universidade Tecnológica Federal do Paraná (BR)
- Instituto Federal Goiano (BR)
- Centro de Estudos e Sistemas Avançados do Recife (BR)
- DIPF | Leibniz Institute for Research and Information in Education (DE)
- Monash University (AU)
- Universidade Federal Rural de Pernambuco (BR)
Publication Details
- Journal
- Journal of Computer Assisted Learning
- Published
- 2026-10-30
- DOI
- https://doi.org/10.1002/jcal.70362
- Primary Topic
- Artificial Intelligence in Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Universidade de Pernambuco
- Instituto Federal Goiás
- Universidade Tecnológica Federal do Paraná
- Leibniz-Gemeinschaft
- Leibniz-Institut für Bildungsforschung und Bildungsinformation