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Record W3200354452 · doi:10.15516/cje.v23i2.4019

Age and residential differences in future primary school teachers' perception of teaching in higher education and the correlation with life satisfaction / Dobne i rezidencijalne razlike procjene kvalitete sveučilišne nastave budućih učitelja primarnoga obrazovanja i povezanost sa zadovoljstvom životom

2021· article· en· W3200354452 on OpenAlexaboutno aff
Lidija Miočić

Bibliographic record

VenueCroatian Journal of Education - Hrvatski časopis za odgoj i obrazovanje · 2021
Typearticle
Languageen
FieldPsychology
TopicPsychology of Development and Education
Canadian institutionsnot available
Fundersnot available
KeywordsResidenceCurriculumMedical educationPsychologyHigher educationUniversity educationMathematics educationMedicinePedagogySociologyDemographyPolitical science

Abstract

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This work provides insight into student/future primary education teachers' evaluation of course quality in higher education and its connection to life satisfaction. In the summer semester of academic year 2018/1019, the research was implemented with the goal of determining age and residential differences in evaluation of teaching quality and its connection with life satisfaction of future primary education teachers. The participants (N=294) were students of teacher education studies at the Faculty of Teacher Education in Zagreb (departments in Zagreb and Čakovec) and at the Faculty of Education of Josip Juraj Strossmayer University in Osijek. Student Course Experience Questionnaire (Ginns et al., 2007) and Satisfaction with Life Scale were utilised (Diener et al., 1985). The results indicate differences in evaluation of course quality in higher education with regard to students' place of residence and university they attend. Students who reside in urban areas assess the quality as higher. Students at Josip Juraj Strossmayer University in Osijek evaluate teaching quality as higher than students at the University of Zagreb. The research did not yield differences in evaluation of course quality at universities with regard to students' age. Besides, a positive correlation between student course experience and life satisfaction was found, but no statistically significant difference in life satisfaction was determined considering students' place of residence and age, nor with regard to university they attend. Key words: curriculum; students; student course experience. --- U radu se daje uvid u procjenu kvalitete sveučilišne nastave budućih učitelja primarnoga obrazovanja i njezinu povezanost sa zadovoljstvom životom. U ljetnom semestru akademske godine 2018./2019. provedeno je istraživanje s ciljem utvrđivanja dobnih i rezidencijalnih razlika u procjeni kvalitete nastave i povezanosti sa zadovoljstvom životom budućih učitelja primarnoga obrazovanja. Ispitanici (N = 294) bili su studenti učiteljskih studija Učiteljskog fakulteta Sveučilišta u Zagrebu (Središnjica u Zagrebu i Odsjek u Čakovcu) i Fakulteta za odgojne i obrazovne znanosti Sveučilišta Josip Juraj Strossmayer u Osijeku. Korišteni su Upitnik studentskih iskustava nastave (Ginns, Prosser i Barrie, 2007) i Skala zadovoljstva životom (Diener, Emmons, Larsen i Griffin, 1985). Rezultati istraživanja ukazuju na razlike u procjeni kvalitete sveučilišne nastave s obzirom na prebivalište studenata i s obzirom na sveučilište koje pohađaju. Studenti s prebivalištem u gradskoj sredini kvalitetu nastave procjenjuju boljom. Studenti Sveučilišta Josipa Jurja Strossmayera u Osijeku procjenjuju kvalitetu nastave boljom od studenata Zagrebačkoga sveučilišta. Istraživanjem se nisu pokazale razlike u procjeni kvalitete sveučilišne nastave s obzirom na dob studenata. Istraživanje je pokazalo pozitivnu povezanost između studentskih iskustava nastave i zadovoljstva životom, ali se pokazalo kako ne postoji statistički značajna razlika u zadovoljstvu životom s obzirom na prebivalište i dob studenata, kao ni s obzirom na sveučilište koje pohađaju. Ključne riječi: kurikul; studenti; studentska iskustva nastave

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.289
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2021
Admission routes1
Has abstractyes

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