Explainable Artificial Intelligence in education

By Hassan Khosravi, Simon Buckingham Shum, Guanliang Chen, Cristina Conati, Yi-Shan Tsai, J.F.L. Kay, Simon Knight, Roberto Martínez Maldonado, Shazia Wasim Sadiq, Dragan Gasevic. Computers and Education: Artificial Intelligence, 2022

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Promises and challenges of generative artificial intelligence for human learning (2024, positive): “This aligns with the growing emphasis on developing explainable and humancentred AI, underscoring the essential role of stakeholder involvement in crafting impactful and meaningful educational technologies 78,79 .”
Practical and ethical challenges of large language models in education: A systematic scoping review (2023, background): “This finding resonates with the call for explainable and human-centred AI, which stresses the vital role of stakeholders in developing meaningful and impactful educational technology (Khosravi et al., 2022; Yang et al., 2021).”
Artificial intelligence in intelligent tutoring systems toward sustainable education: a systematic review (2023, background): “Khosravi et al. (2022) deeply explore XAI in terms of education, which also provides good guidance for educators and IT solution architects.”
Artificial intelligence in language instruction: impact on English learning achievement, L2 motivation, and self-regulated learning (2023, background): “…context of computer programs, AI is purposefully designed to interpret and respond to human queries, operating as a platform that relies on human intelligence to furnish pertinent information (Buzko et al., 2016; Spector and Ma, 2019; Devi et al., 2022; Khosravi et al., 2022; Nemorin et al., 2023).”