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Measuring Student Engagement and Commitment on Private Academic Institutions Using Fuzzy Logic Expert System Metrics Applications

Markopoulos, E; Einolander, J; Vanharanta, H; Kantola, J; Sivula, A; (2019) Measuring Student Engagement and Commitment on Private Academic Institutions Using Fuzzy Logic Expert System Metrics Applications. In: Karwowski, W and Ahram, T and Nazir, S, (eds.) Advances in Human Factors in Training, Education, and Learning Sciences: Proceedings of the AHFE 2019 International Conference on Human Factors in Training, Education, and Learning Sciences, July 24-28, 2019, Washington D.C., USA. (pp. pp. 163-173). Springer: Cham, Switzerland. Green open access

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Abstract

Even though academic knowledge is provided to academic institutions under very specific academic standards in teaching and research, the instruction’s management can impact significantly the student engagement and commitment on receiving and utilizing such knowledge. To analyse this challenge, a Fuzzy Logic, expert system-based software application has been developed and applied on a private academic institution. In this research the institution participated with 40 undergraduate students, from 24 different countries from two different semesters on the same course. The technology measures the student engagement and commitment via the co-evolute methodology for knowledge elicitation. By utilizing this approach, the management of academic institutions can make development analysis based on concrete bottom-up results. The collective analysis of the test results clearly identifies where students see the needs for greatest development and how they view their current state of engagement.

Type: Proceedings paper
Title: Measuring Student Engagement and Commitment on Private Academic Institutions Using Fuzzy Logic Expert System Metrics Applications
Event: AHFE 2019 International Conference on Human Factors in Training, Education, and Learning Sciences
ISBN-13: 978-3-030-20134-0
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-030-20135-7_16
Publisher version: https://doi.org/10.1007/978-3-030-20135-7_16
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Student engagement, Commitment, Expert system, Private academic institution
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > UCL School of Management
URI: https://discovery.ucl.ac.uk/id/eprint/10120901
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