Presented at Proceedings of the 20th WiPSCE Conference on Primary and Secondary Computing Education (WiPSCE '26), 2026
Based on a systematic review of 84 papers, this study proposes four paradigms of AI and ML education, revealing that current student activities focus primarily on data collection and processing rather than underlying algorithms or transparent, knowledge-based reasoning models.
Recommended citation: Robert Whyte, Manni Cheung, Katharine Childs, Jane Waite, and Sue Sentance. (2026). "Analysing Data Paradigms in K-12 Data Science Activities: A Systematic Literature Review." In Proceedings of the 20th WiPSCE Conference on Primary and Secondary Computing Education (WiPSCE '26), March 11-13, 2026, RWTH Aachen University, Germany.
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