Professional Development of Teachers to and Through Artificial Intelligence: A Literature Review
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Abstract
Professional development (PD) for teachers is one of the most effective ways of improving the quality of education and preparing them for new realities (Mukamurera, 2014). Faced with the arrival of generative artificial intelligence (AI), many anticipate the need to train teachers to ensure responsible use of this emerging technology while also providing a solution for improving teachers' PD pathways. This literature review therefore seeks to understand the extent to which AI can enhance teachers' PD. To this end, 24 articles were analyzed based on the 7 teacher PD characteristics of Darling-Hammond et al. (2017). AI can value teachers' PD characteristics to some extent, but its effects on teachers' practice require further investigation. For future studies, it is recommended that Darling-Hammon et al.’s (2017) characteristics be analyzed for their value through AI trained with the SAMR model in view of uncovering the extent to which such characteristics could be (S) substituted, (A) enhanced, (M) modified or (R) redefined by AI use as well as the effects such changes could have on teacher’s agency.
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