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A Simulation-based Guided Inquiry Laboratory Package in Teaching Mirrors and Lenses for Grade 10 Learners

Author

Listed:
  • Kennette M. Arboiz

    (Mindanao State University – Iligan Institute of Technology, Iligan, Lanao del Norte, Philippines)

  • Sotero O. Malayao Jr.

    (Mindanao State University – Iligan Institute of Technology, Iligan, Lanao del Norte, Philippines)

Abstract

The perennial problem of Philippine education characterized by the lack of uniform laboratory apparatus and activities across schools, can be one culprit of low performance in the PISA examinations and ranking. During its conceptualization stage, this study intended to develop a set of activities for optics that allow the guided- inquiry opportunity. A series of evaluation refined the activity to its optimum version and was implemented in a single section in one public school in the Division of Misamis Occidental. Trend of student performance showed that students had a good performance and that the guided inquiry activities helped them in their learning acquisition. The quality of performance task output also showcased the depth of learning acquired by students. The normalized also yielded a medium gain that signifies the guided inquiry virtual activities can engender learning despite the absence of 3- dimensional hands-on laboratory activities.

Suggested Citation

  • Kennette M. Arboiz & Sotero O. Malayao Jr., 2024. "A Simulation-based Guided Inquiry Laboratory Package in Teaching Mirrors and Lenses for Grade 10 Learners," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(6), pages 2558-2567, June.
    • Handle: RePEc:bcp:journl:v:8:y:2024:i:6:p:2558-2567
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    References listed on IDEAS

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    1. Juan, Angel A. & Faulin, Javier & Grasman, Scott E. & Rabe, Markus & Figueira, Gonçalo, 2015. "A review of simheuristics: Extending metaheuristics to deal with stochastic combinatorial optimization problems," Operations Research Perspectives, Elsevier, vol. 2(C), pages 62-72.
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