Artificial Intelligence as a Co-Teacher: The Future of Personalized Teaching
Artificial Intelligence is fast changing the face of education, acting almost as a co-teacher in enhancing personalized learning experiences. The role of AI in the classroom has been underlined in this article, emphasizing how it can adapt to individual learning styles, real-time assessment of the progress students makes, and customized instructional support. This mixed-method study questioned quantitative data from schools using the AI tools and gathered qualitative feedback from teachers and students. Striking among these was the improvement in engagement and academic performance. Accordingly, the average test scores increased by as high as 15%, while the trend of student participation continued to increase, with as high as 78% of the teachers reporting increased levels of engagement. AI is complementing teaching and preparing students for the world that they will encounter, which demands digital literacy. This will enable the educators, upon embracing the technology, to ensure that no single student misses out on a leaning need and that the learning environment is effective and inclusive. The contribution of this research adds to the growing compilation of research papers on AI in Education, providing significant information to policymakers and educators interested in improving teaching and learning results.
Authors
- M. De Lara
- Aline Leonardo da Silva (ORCID: https://orcid.org/0000-0002-4025-3999)
- Diana Jazmín Cerón Silva
- Raúl Rodolfo Salazar Rodríguez
- Silvana Andrea Cerón Silva (ORCID: https://orcid.org/0000-0002-4576-0965)
- Islam Muhammad Salama Muhammad
Institutions
- Central University of Ecuador (EC)
- Ação Educativa (BR)
- Universidad Técnica de Babahoyo (EC)
Publication Details
- Journal
- LATAM Revista Latinoamericana de Ciencias Sociales y Humanidades
- Published
- 2025-01-10
- DOI
- https://doi.org/10.56712/latam.v5i6.3283
- Citations
- 3
- Primary Topic
- Reflective Practices in Education
- Type
- article
- Field-Weighted Citation Impact
- 26.78