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Ontology-based Interactive Learning Approach for Transdisciplinary Teaching in Learning Factory

Syed Abreez Gillani, Rabiya Abbasi, Pablo Martinez Rodriguez, Rafiq Ahmad*

*Corresponding author for this work

    Research output: Contribution to journalConference articlepeer-review

    78 Downloads (Pure)

    Abstract

    Interactive learning provides a pedagogical approach to acquire skills and develop knowledge regarding transdisciplinary areas, especially in the burgeoning engineering sciences domain. In fact, learning factories have been shown to provide the appropriate environment for transdisciplinary teaching. Exposure to different knowledge domains is desired, but students face difficulties understanding complex foreign concepts over limited periods of time. As an example, the AllFactory at the University of Alberta is a unique facility that encompasses agricultural and biological sciences along with Industry 4.0 technologies. Aquaponics 4.0 mediates the growth of various plant and fish species while using engineering concepts to control the environment and ensure maximum quality control and high throughput. This paper proposes a digital interactive approach to present and teach complex foreign knowledge to students in time-constrained environments. A graphical user interface is designed to provide a step-by-step guide on developing the hydroponic and aquaculture component to investigate Aquaponics 4.0 systems, where all the required knowledge is extracted from a predefined ontology model.
    Original languageEnglish
    Pages (from-to)1-6
    Number of pages6
    JournalSSRN Electronic Journal
    DOIs
    Publication statusPublished - 1 Apr 2022
    Event12th Conference on Learning Factories 2022 (CLF) - Singapore, Singapore
    Duration: 11 Apr 202213 Apr 2022
    https://www.clf2022.sg/

    Keywords

    • Learning Factories
    • Transdisciplinary teaching
    • aquaponics 4.0
    • Knowledge Modeling

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