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

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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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