Examining Critical Factors in Selecting AI Tools for Educational Success
Artificial intelligence (AI) in education has the potential to revolutionize the teaching and learning process. The most effective selection of these instruments is contingent upon a series of critical parameters. This narrative evaluation identifies and discusses these key characteristics to assist educators and institutions in selecting the most suitable AI technologies. In addition to cost-efficiency, we evaluate educational effectiveness, usability, scalability, adaptability, and data privacy and security. This evaluation of contemporary AI tools and real-world case studies underscores the importance of aligning AI technologies with educational objectives, user-friendliness, and data security and privacy. Additionally, the assessment addresses budgetary concerns and the necessity of adaptable solutions that can be customized to suit various educational scenarios. This review’s findings and recommendations aim to assist educators in making informed decisions, thereby enhancing educational outcomes and integrating AI technology in the classroom.
Authors
- Mitra Madanchian (ORCID: https://orcid.org/0000-0003-0664-5865)
- Hamed Taherdoost (ORCID: https://orcid.org/0000-0002-6503-6739)
Institutions
- University Canada West (CA)
- Global University Systems (GB)
Publication Details
- Journal
- Procedia Computer Science
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.procs.2025.07.111
- Primary Topic
- Intelligent Tutoring Systems and Adaptive Learning
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- University Canada West