HTML5-Powered Causal Explanations: Fueling Deep Science Learning
With the advancement of information technology, HTML5 has emerged as a robust, interactive, and cross-platform web technology increasingly adopted in education. In China’s current science classrooms, the emphasis often lies in factual outcomes over conceptual processes, limiting students' opportunities to develop deep understanding. This study, grounded in constructivist theory, integrates a causal explanation strategy with HTML5 technology to design an online science learning system focused on the “lever principle.” A quasi-experimental design involving 42 middle school students was conducted. Results indicate that the HTML5-based system significantly improved students' science performance and metacognitive skills, offering empirical support for the effective integration of strategy and technology in science education.
Authors
- Wentao Chen (ORCID: https://orcid.org/0000-0002-4062-3865)
- Shu‐Tao Shangguan
Institutions
- Fujian Normal University (CN)
Publication Details
- Journal
- Journal of improved oil and gas recovery technology.
- Published
- 2025-08-29
- DOI
- https://doi.org/10.53469/wjimt.2025.08(08).12
- Primary Topic
- Scientific Computing and Data Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00