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Admission to master programmes: What are the indicators for successful study performance?
KTH, School of Engineering Sciences (SCI), Applied Physics, Materials and Nanophysics.ORCID iD: 0000-0002-9858-6235
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Theoretical Computer Science, TCS.
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Numerical Analysis, NA. (Numerics, optimisation & Systems)ORCID iD: 0000-0003-2669-359X
KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Vehicle Engineering and Solid Mechanics.ORCID iD: 0000-0001-6802-8331
2023 (English)In: Bidrag från den 9:e utvecklingskonferensen för Sveriges ingenjörsutbildningar / [ed] Joel Midemalm, Amir Vadiee, Elisabeth Uhlemann, Fredrik Georgsson, Gunilla Carlsson-Kvarnlöf, Jonas Månsson, Kristina Edström, Lennart Pettersson och Pedher Johansson, Västerås: Mälardalens universitet, 2023, p. 9-18Conference paper, Published paper (Refereed)
Abstract [en]

Admission of applicants to higher education in a fair, reliable, transparent, and efficient way is a real challenge, especially if there are more eligible applicants than available places and if there are applicants from many different educational systems. Previous research on best practices for admission to master’s programmes identified the key question about an applicant’s potential for success in studies, but was not able to provide an answer about how to rate the merits of the applicants. In this study, indicators for study success are analysed by comparing the study performance of 228 students in master’s programmes with their merits at the time of admission. The null hypothesis was that the applicant’s average grade at the time of admission is the only indictor for study success. After testing for potential bias using almost 20 possible other indicators, the null hypothesis had to be rejected for four indicators (in order of importance): (i) university ranking, (ii) length of bachelor’s studies within subject, (iii) English language test and (iv) subject matching between bachelor’s and master’s education. Evaluation of quality of prior education is tricky and results from this study clearly indicate that students from higher ranked universities possess better knowledge and stronger skills for our master’s programmes. Work is ongoing to improve the merit rating model by involving more master’s programmes at KTH and analysing performance data from a larger number of students.

Place, publisher, year, edition, pages
Västerås: Mälardalens universitet, 2023. p. 9-18
Keywords [en]
Master, admission, merit rating model, success indicators
National Category
Educational Sciences
Identifiers
URN: urn:nbn:se:kth:diva-343154OAI: oai:DiVA.org:kth-343154DiVA, id: diva2:1836054
Conference
9:e Utvecklingskonferensen för Sveriges ingenjörsutbildningar
Note

QC 20240209

Part of ISBN 978-91-7485-620-0

Available from: 2024-02-08 Created: 2024-02-08 Last updated: 2024-02-09Bibliographically approved

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Master-admission(810 kB)131 downloads
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Sandberg, MattiasTibert, Gunnar

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CiteExportLink to record
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