This study aims to provide a comprehensive review of the application of data mining methods in parenting research and to explore the insights offered by data mining algorithms in this domain. In this study, 31 academic parenting research studies, which utilized data mining techniques based on empirical data, are finally selected and thoroughly. They were subsequently analysed, in terms of research inquiries, sources of datasets, and methodological approaches, as well as systematically categorized. Consequently, seven primary research directions in the field of parenting research using data mining methods were outlined. This review also delves into the sources of datasets in extant studies, and discussed the added value that data mining methods bring to the field of parenting research, pointing towards potential directions for future research.
Liu, Y., & Wei, J. (2023). A Systematic review of data mining studies in parenting research. Journal of Educational Technology Development and Exchange (JETDE), 16(2), 126-144. https://doi.org/10.18785/jetde.1602.08
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