Applying product manufacturing techniques to teach data analytics in industrial engineering: A project based learning experience

Faisal Aqlan, Joshua C. Nwokeji

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The amount of data generated from industrial processes has dramatically increased in recent times. As a result, data analytics skill has become an essential requirement for industrial engineering jobs. To meet this requirement, universities and colleges are beginning to integrate data analytics into industrial engineering curriculum. However, teaching and learning data analytics to industrial engineering students is by no means an easy task, since both programs have diverging focus. Industrial engineering focuses on process and systems optimization while data analytics focus on the application of information technology and mathematical models to visualize and extract useful information from raw data. To support teaching and learning of data analytics to industrial engineering students, this innovative practice full paper reports a pedagogical method that extrapolates product manufacturing processes to teaching and learning data analytics. We selected product manufacturing because it is a core course in the industrial engineering curriculum. The proposed pedagogical method is developed by first analyzing and comparing product manufacturing processes and data analytics techniques. Afterwards, we used the result of this analogy to develop a teaching and learning method for data analytics. For implementation and validation purposes, we adopt a project-based learning approach where students used our methodology to complete real-world data analytics projects. Data from students' grades shows that this approach improved their performance.

Original languageEnglish (US)
Title of host publicationFrontiers in Education
Subtitle of host publicationFostering Innovation Through Diversity, FIE 2018 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538611739
DOIs
StatePublished - Mar 4 2019
Event48th Frontiers in Education Conference, FIE 2018 - San Jose, United States
Duration: Oct 3 2018Oct 6 2018

Publication series

NameProceedings - Frontiers in Education Conference, FIE
Volume2018-October
ISSN (Print)1539-4565

Conference

Conference48th Frontiers in Education Conference, FIE 2018
CountryUnited States
CitySan Jose
Period10/3/1810/6/18

All Science Journal Classification (ASJC) codes

  • Software
  • Education
  • Computer Science Applications

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    Aqlan, F., & Nwokeji, J. C. (2019). Applying product manufacturing techniques to teach data analytics in industrial engineering: A project based learning experience. In Frontiers in Education: Fostering Innovation Through Diversity, FIE 2018 - Conference Proceedings [8658588] (Proceedings - Frontiers in Education Conference, FIE; Vol. 2018-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FIE.2018.8658588