A4 Artikkeli konferenssijulkaisussa
Course Satisfaction in Engineering Education Through the Lens of Student Agency Analytics (2020)


Heilala, V., Saarela, M., Jääskelä, P., & Kärkkäinen, T. (2020). Course Satisfaction in Engineering Education Through the Lens of Student Agency Analytics. In FIE 2020 : Proceedings of the 50th IEEE Frontiers in Education Conference. IEEE. Conference proceedings : Frontiers in Education Conference. https://doi.org/10.1109/FIE44824.2020.9274141


JYU-tekijät tai -toimittajat


Julkaisun tiedot

Julkaisun kaikki tekijät tai toimittajatHeilala, Ville; Saarela, Mirka; Jääskelä, Paivikki; Kärkkäinen,Tommi

EmojulkaisuFIE 2020 : Proceedings of the 50th IEEE Frontiers in Education Conference

Konferenssi:

  • Frontiers in Education Conference

Konferenssin paikka ja aikaUppsala, Sweden21.-24.10.2020

ISBN978-1-7281-8962-8

eISBN9781728189611

Lehti tai sarjaConference proceedings : Frontiers in Education Conference

ISSN1539-4565

eISSN2377-634X

Julkaisuvuosi2020

KustantajaIEEE

JulkaisumaaYhdysvallat (USA)

Julkaisun kielienglanti

DOIhttps://doi.org/10.1109/FIE44824.2020.9274141

Julkaisun avoin saatavuusMuulla tavalla avoin

Julkaisukanavan avoin saatavuus

Julkaisu on rinnakkaistallennettu (JYX)https://jyx.jyu.fi/handle/123456789/73023

Verkko-osoite, jossa julkaisu vapaasti saatavillahttps://www.fie2020.org/abstracts-and-papers/


Tiivistelmä

This Research Full Paper presents an examination of the relationships between course satisfaction and student agency resources in engineering education. Satisfaction experienced in learning is known to benefit the students in many ways. However, the varying significance of the different factors of course satisfaction is not entirely clear. We used a validated questionnaire instrument, exploratory statistics, and supervised machine learning to examine how the different factors of student agency affect course satisfaction among engineering students (N = 293). Teacher’s support and trust for the teacher were identified as both important and critical factors concerning experienced course satisfaction. Participatory resources of agency and gender proved to be less important factors. The results provide convincing evidence about the possibility to identify the most important factors affecting course satisfaction.


YSO-asiasanattekniset alatopiskeluopiskelijattyytyväisyysopintomenestyskoneoppiminenopintotoimistot

Vapaat asiasanatcourse satisfaction; student agency; exploratory statistics; supervised machine learning


Liittyvät organisaatiot


OKM-raportointiKyllä

Raportointivuosi2020

JUFO-taso1


Viimeisin päivitys 2024-03-04 klo 20:36