Abstract
This study develops a framework to analyze the functions of AI⋅Edutech within the context of personalized learning support and validates its appropriateness by applying it to actual products. A framework was developed through a literature review, refined through a computer education expert review, and contextualized by focusing on group interviews with educational technology experts and curriculum specialists. The “Framework for Personalized Learning Support Analysis” consisted of two major domains and three subdomains. Then, its appropriateness was verified by applying the framework to nine AI⋅Edutech products for domestic and international educational purposes. Insights derived from the development and application process of the framework are as follows: first, confirmation that the framework functions as a procedure for examining AI⋅Edutech features for personalized learning support; second, the ability to conduct a current status survey of AI⋅Edutech products developed to date through the framework; and third, recognition of its role in the development of additional features required to support personalized learning in school settings in the future. With the increasing interest in personalized learning and advancement of technology, AI⋅Edutech, which is experiencing rapid growth, will hopefully be balanced and practically used through an examination using this analysis framework.
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