6533b831fe1ef96bd12998c8

RESEARCH PRODUCT

Course Satisfaction in Engineering Education Through the Lens of Student Agency Analytics

Tommi KärkkäinenPäivikki JääskeläMirka SaarelaVille Heilala

subject

opintomenestystekniset alatAffect (psychology)Course satisfactionAgency (sociology)ComputingMilieux_COMPUTERSANDEDUCATIONsupervised machine learningopintotoimistotMedical educationopiskelijatbusiness.industryexploratory statistics05 social sciencesCritical factorscourse satisfaction050301 educationInformation technologyCitizen journalismkoneoppiminenEngineering educationAnalyticstyytyväisyysopiskelustudent agency0509 other social sciences050904 information & library sciencesbusinessPsychology0503 education

description

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. peerReviewed

yearjournalcountryeditionlanguage
2020-10-21
http://urn.fi/URN:NBN:fi:jyu-202012086968