Pedagogical Insight in Digital Education from Traditional Big Data Analysis to AI Driven Solution: A Case Study in Junior Science lesson

Authors

  • Fung CHEUNG New Life Schools Incorporation Lui Kwok Pat Fong College, Hong Kong SAR, China
  • Hin Nang YUE New Life Schools Incorporation Lui Kwok Pat Fong College, Hong Kong SAR, China
  • Sze Lok CHOW New Life Schools Incorporation Lui Kwok Pat Fong College, Hong Kong SAR, China

Keywords:

Digital Education, Science Education, Innovation Technology Education, Artificial Intelligence, Big Data analysis, Anomaly detection

Abstract

This paper evaluates traditional data analysis methods within the Hong Kong Junior Secondary (KS3) science curriculum and proposes a pedagogical shift from manual data collection toward AI-human collaboration. With a pilot scheme, the study suggests pedagogy and curriculum to help teachers, integrating AI, prioritizing intuitive judgment and deliberate practice, equipping students to navigate complex world of science with critical sensitivity.

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Published

2026-06-03

Issue

Vol. 2026 (2026): GCCCE 2026 Teacher Forum Proceedings

Section

文章