Essential research paths for integrating AI into educational practices

Nakash, Maayan

Permalink

https://hdl.handle.net/2142/126200 Copy

Description

Title

Essential research paths for integrating AI into educational practices

Author(s)

Nakash, Maayan

Issue Date

2025-03-11

Keyword(s)

• Artificial intelligence
• AI
• AI in Education
• AIEd
• Learning and Research Topics

Abstract

This paper proposes future research directions for Artificial Intelligence (AI) within pedagogical contexts, based on a primary analysis of current discussions among educators and teaching professionals in a digital knowledge community. The data collection comprised 11,928 posts and comments from a public Facebook group dedicated to Artificial Intelligence in Education (AIEd). Through thematic analysis, key themes and trends were identified. The findings underscore several promising research avenues, including AI-based personalization of educational content, automation of student assessment processes, redefinition of educators' roles in the age of technological advancement, and the developing of AI orientation within pedagogical frameworks. By identifying critical research needs, this exploratory study aims to provide a roadmap for future investigations, facilitating the development of innovative AI-driven educational tools and strategies in digital learning environments.

Publisher

iSchools

Series/Report Name or Number

iConference 2025 Proceedings

Type of Resource

Other

Genre of Resource

Conference Poster

Language

eng

Handle URL

https://hdl.handle.net/2142/126200

Copyright and License Information

Copyright 2025 is held by Maayan Nakash. Copyright permissions, when appropriate, must be obtained directly from the authors.

Owning Collections