Zhe-Xin Cai

Zhe-Xin Cai

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Zhe-Xin Cai has a total of 9 co-authors. Here are the top co-authors by number of shared publications:

  • Hao-Cheng Yu

    State Key Laboratory of Geological Processes and Mineral Resources, Frontiers Science Center for Deep-time Digital Earth, School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China

    1 shared publication
  • Jing-Jing Zhang

    Key Laboratory of Orogenic Belts and Crustal Evolution, Ministry of Education, School of Earth and Space Sciences, Peking University, Beijing 100871, China

    1 shared publication
  • Kun-Feng Qiu

    State Key Laboratory of Geological Processes and Mineral Resources, Frontiers Science Center for Deep-time Digital Earth, China University of Geosciences, Beijing 100083, China

    1 shared publication
  • Lin Dong

    School of Earth and Space Sciences, Peking University, Beijing, China

    1 shared publication
  • Shi-Guo Wang

    Science and Technology Association, Institute of Nature and Culture, China University of Geosciences, Beijing 100083, China

    1 shared publication
  • Xiao-Long Bao

    School of Statistics, Beijing Normal University, Zhuhai 519085, China

    1 shared publication

Latest Publications

  • Open Access

    3D-Printed Geological Models Support Task-Dependent Conceptual Learning in Geoscience: Insights from a Quasi-Experimental Study

    by Zhe-Xin Cai, Yi-Tao Dong, Yi Huang, Xiao-Long Bao, Jing-Jing Zhang, Yi-Ning He, Hao-Cheng Yu, Lin Dong, Shi-Guo Wang, Kun-Feng Qiu

    Three-dimensional (3D) technologies are increasingly used to digitize rocks, minerals, fossils, landforms, and other geological objects, but classroom evidence for their instructional value in mineral and resource geoscience remains limited. This quasi-experimental study examined whether tangible 3D-printed models were associated with higher immediate post-instruction performance than image-based instruction, and how their value varies with the representational demands of different geoscience tasks. The sample included 135 secondary students. The 3D-printing Group (n = 54) used tangible models, whereas the Traditional Group (n = 81) received image-based instruction across four topics: Cradle Stone, the Jiaodong-type Mineral System, Anchiornis huxleyi, and Detached Cave Dwellings. Baseline-adjusted analysis of covariance (ANCOVA) was used as the primary inferential test. The 3D-printing Group showed higher immediate post-test performance (adjusted means: 79.46% vs. 71.51%; difference = 7.95 percentage points; HC3 95% CI: 2.10–13.80; p = 0.008). The largest topic-specific advantage occurred for Anchiornis huxleyi, consistent with a task-dependent interpretation in which printed models are more useful when learning requires three-dimensional morphological interpretation. Questionnaire responses also favored 3D printing, especially for perceived spatial understanding. These preliminary classroom-based findings suggest that 3D-printed models are most useful when they preserve task-relevant spatial, structural, or morphological information.