Assoc Prof Dr Zahari Hamidon

Associate Professor

  • PHD (Instructional Technology)
    University of Malaya, Malaysia
  • M. Ed (Computer in Education)
    University of Malaya, Malaysia
  • Art Teachers’ Diploma (ATD)
    Universiti Teknologi MARA (UiTM), Shah Alam, Malaysia
  • Diploma in Art and Design (Fine Art)
    Universiti Teknologi MARA (UiTM), Shah Alam,

 

  • Instructional Design & Technology
  • Learning Design
  • Instructional Tehnology
  • Cognitive Load Theory
  • AI in education
  • Learning Design & Technology
  • User Interface Design
  1. Hamidon, Z., Abdullah, M. L., Yusoff, Y., & Ismail, M. N. (2024). Advancing adult education with AI at Open University Malaysia: Tailoring learning experiences for cognitive development. In INTED2024 Proceedings. https://doi.org/10.21125/inted.2024
  2. Hamidon, Z., Abdullah, M. L., & Dharam Singh, H. K. A/P. (2023). Developing an indicator for the standard of self-instructional materials (SIM) in open and distance learning environments: An exploratory study on the relationship between cognitive load types and task sets. In EDULEARN23 Proceedings (pp. 2321-2328). IATED. Retrieved from https://library.iated.org/view/HAMIDON2023DEV
  3. Hamidon, Z., Abdullah, M. L., & Yusoff, Y. (2023). Leveraging cognitive load theory for enhanced self-instructional material design in online distance learning: An exploration of MyINSPIRE LMS in Open University Malaysia (OUM). In ICERI2023 Proceedings (pp. 2981-2990). IATED. https://doi.org/10.21125/iceri.2023
  4. Chan, L. G., Ng, Q. Y., & Hamidon, Z. (2022). Effect of behavioural engagement on the performance of actuarial science undergraduates in a higher education institution. In Proceedings of The ASEAN Quality Assurance Conference 2022 (p. 26). Sunway University, Malaysia. Retrieved from https://university.sunway.edu.my/sites/default/files/magazine/Proceedings-of-the-ASEAN-Quality-Assurance-Conference-2022.pdf
  5. Chan, L. G., & Hamidon, Z. (2022). A case study of problem-based learning approach in a mathematics online learning course. AIP Conference Proceedings, 2472, 050009. https://doi.org/10.1063/5.0092735

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