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Record W2318674301 · doi:10.1177/1541344614540335

Developing a Survey of Transformative Learning Outcomes and Processes Based on Theoretical Principles

2013· article· en· W2318674301 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Transformative Education · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicAdult and Continuing Education Topics
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsTransformative learningPsychologyCronbach's alphaScale (ratio)Learning theorySurvey data collectionPedagogyMathematics educationDevelopmental psychologyPsychometricsMathematics

Abstract

fetched live from OpenAlex

The purpose of this research was to develop an inclusive evaluation of “transformative learning theory” that encompassed varied perspectives of transformative learning. We constructed a validated quantitative survey to assess the potential outcomes and processes of how transformative learning may be experienced by college-educated adults. Based on a review of the rational/cognitive, extrarational, and social/emancipatory perspectives of transformation learning theory, the survey reflects the assumptions underlying these perspectives through survey items and allows the survey to be used in multiple contexts both inside and outside the formal classroom. Survey development included a comprehensive review of the literature, external review by experts in adult education, focus groups for clarification of the items, the calculation of interitem correlations for each scale and cross-scale correlations, and the calculation of Cronbach’s α reliability coefficients. This survey has the potential to advance the study of transformative learning by being inclusive of several existing theoretical perspectives that have common outcomes.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.669
Threshold uncertainty score0.315

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.034
GPT teacher head0.344
Teacher spread0.310 · 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