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Using Effect Size in Evaluating Academic Engagement and Motivation in a Private Business School

Einolander, J; Markopoulos, E; Kantola, J; Vanharanta, H; (2020) Using Effect Size in Evaluating Academic Engagement and Motivation in a Private Business School. In: International Conference on Applied Human Factors and Ergonomics. (pp. pp. 393-399). Springer Nature: Cham, Switzerland. Green open access

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Abstract

This research analyses student engagement and motivation data gathered from a UK-based private business university and multiple European public universities. The data was obtained using an Internet-based generic expert system called Evolute. In this research, the self-evaluation results from 40 undergraduate business school students were subjected to comparison analysis using an effect size described by Cohen’s d-values. Using the effect size in the analysis helps to easily identify the areas or the specific items where the benchmarked university is doing well compared to others, as well as to find out the areas or items that could be subjected for improvement. According to the results, the benchmarked institution scored higher mean values in 95% of statements than all the other cases conducted with the instrument at public universities.

Type: Proceedings paper
Title: Using Effect Size in Evaluating Academic Engagement and Motivation in a Private Business School
Event: AHFE 2020: Advances in Human Factors, Business Management and Leadership
ISBN-13: 978-3-030-50790-9
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-030-50791-6_50
Publisher version: https://doi.org/10.1007/978-3-030-50791-6_50
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.
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/10120646
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