Work

Copilot in the Digital Classroom: Evaluating AI-Driven Assistive Technologies for Blended Learning Outcomes

Year: 2026

Type: conference-paper

Abstract: The integration of Artificial Intelligence (AI) in education has transformed learning environments, enabling more efficient and adaptive instruction. This study examines the impact of Microsoft Copilot, an AI-powered assistive technology, on student performance and engagement in blended learning. A mixed-methods approach was employed, combining pre-test/post-test analysis, LMS data, surveys, interviews, and focus groups. Results indicate that Copilot improves instructional efficiency, enhances engagement, and supports real-time assessment, although concerns about overreliance persist. The findings contribute to understanding AI's role in modern education and support the development of smarter digital learning systems.

Source: International Conference on e-Education, e-Business, e-Management and e-Learning

DOI: 10.1109/ic4e69618.2026.11631329

Authors: Ronel F. Ramos, Joseph Q. Calleja, Roman M. De Angel, Angelo C. Arguson

Institution: FEU Institute of Technology

Language: English

Topic: Artificial Intelligence in Education

Subfield: Education

Field: Social Sciences

Domain: Social Sciences

SDG: Quality education

Open Access status: hybrid

OpenAlex ID: W7202292944

FWCI:

Cites: 21

Cited by:

Related to: 10