Criteria for selecting artificial intelligence tools and systems for educational purposes

4. Literature

• Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264-75278.
  Description: Reviews key criteria for selecting and implementing AI technologies in education, including effectiveness, ethics, and adaptability.

• Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign.
  Description: Discusses criteria such as ethics, security, effectiveness, and alignment with educational goals.

• Dignum, V. (2019). Responsible Artificial Intelligence: How to Develop and Use AI in a Responsible Way. Springer Nature.
  Description: Discusses ethical guidelines and security requirements in the development and implementation of AI systems.

• Mittelstadt, B. D., et al. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society, 3(2), 1-21.
  Description: Emphasises the importance of transparency and impartiality in AI systems.

• Brusilovsky, P., & Millán, E. (2007). User Models for Adaptive Hypermedia and Adaptive Educational Systems. In The Adaptive Web (pp. 3-53). Springer.
  Description: Describes criteria related to adaptability and personalisation of AI tools in education.

• Woolf, B. P. (2010). Building Intelligent Interactive Tutors. Morgan Kaufmann.
  Description: Provides guidelines for evaluating the effectiveness and personalisation of AI systems.

• Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence Unleashed: An Argument for AI in Education. Pearson.
  Description: Presents practical criteria for evaluating AI tools before implementation in classes.

• Aljohani, A. (2025). Data-Driven Pedagogy: Empowering Educational Excellence in Saudi Higher Institutions Through the Integration of AI and ML. In International Conference on Mathematical Modeling and Computational Science (pp. 11–21). Cham: Springer Nature Switzerland.

         Description: Analyses the contribution of artificial intelligence and machine 

          learning to the modernisation of higher education.

• Alkhateeb, A., Hezam, A. M. M., & Almuraikhi, A. A. (2025). Assessing the use of AI tools for EFL exam preparation at Saudi universities: efficiency, benefits, and challenges. Cogent Education, 12(1), 2507553. 
  Description: Analyses the efficiency, benefits, and challenges of using AI tools in English as a Foreign Language (EFL) exam preparation at Saudi universities, focusing on the real-world impact on learning and technology accessibility.

• Selwyn, N. (2019). Should Robots Replace Teachers? AI and the Future of Education. Polity Press.
  Description: Discusses financial and accessibility aspects when choosing AI technologies in education.