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




Jarno Einolander, Evangelos Markopoulos, Jussi Kantola, Hannu Vanharanta

Jussi Ilari Kantola, Salman Nazir, Vesa Salminen

International Conference on Applied Human Factors and Ergonomics

PublisherSpringer

2020

Advances in Intelligent Systems and Computing

Advances in Human Factors, Business Management and Leadership: Proceedings of the AHFE 2020 Virtual Conferences on Human Factors, Business Management and Society, and Human Factors in Management and Leadership, July 16-20, 2020, USA

Advances in Intelligent Systems and Computing

Advances in Intelligent Systems and Computing

1209

393

399

978-3-030-50790-9

978-3-030-50791-6

2194-5357

DOIhttps://doi.org/10.1007/978-3-030-50791-6_50

https://discovery.ucl.ac.uk/id/eprint/10120646/



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.



Last updated on 2024-26-11 at 21:25