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Record W2503578286 · doi:10.5430/ijhe.v5n3p91

Comparing the Change of Teaching Motivations among Preservice Teachers in Austria, Germany, and Switzerland: Do In-school Learning Opportunities Matter?

2016· article· en· W2503578286 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Higher Education · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Professional Development and Motivation
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Perspective (graphical)PsychologyMathematics educationTeacher educationPedagogySample (material)Intrinsic motivationSocial psychology

Abstract

fetched live from OpenAlex

In this study, we examine the hypothesis that preservice teachers’ teaching motivations change during the first two years of their teacher preparation. A sample of 1,779 student teachers with two time points from Austria, Germany, and Switzerland is used. Findings show that student teachers’ intrinsic motivation increases, whereas their extrinsic motivation being more distal to initial teacher education does not change. Against our expectations, their altruistic-type motivation (e.g., the motivation to work with children/adolescents) tends to deteriorate. The change of teaching motivations is influenced by in-school opportunities to learn (teaching practice activities, support by school mentors) and it is more practically relevant in a teacher education context where practical training is given high priority (Austria, Switzerland) compared with a context that heavily focuses on theoretical study (Germany). We discuss implications for teacher education from a comparative perspective and give an outlook for possible future research.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.248

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.081
GPT teacher head0.363
Teacher spread0.282 · 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