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Transformative Learning in the Workplace

2012· book-chapter· en· W2372341271 on OpenAlexaff
Patricia Cranton, Ellen Carusetta

Bibliographic record

VenueIGI Global eBooks · 2012
Typebook-chapter
Languageen
FieldSocial Sciences
TopicAdult and Continuing Education Topics
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsTransformative learningPerspective (graphical)Learning theoryPresentation (obstetrics)Experiential learningPsychologyPedagogySociologyEngineering ethicsEngineeringComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Using two silent-dialogue scenarios as a basis for discussion, this chapter provides an overview of how workplace learning can be framed by transformative learning theory. Based on the literature on workplace learning, the authors review the primary kinds of workplace learning that can be found in diverse workplace contexts. In contrast to the debates occurring in adult education about what is and what is not transformative learning, here they suggest that each kind of workplace learning has the potential to be a transformative learning experience. The chapter concludes with a discussion of paradoxes and implications. In this chapter the authors explore the nature of workplace learning from the perspective of transformative learning theory. In order to do this, they present two scenarios, one related to employer-sponsored learning in the workplace, and one related to leadership development facilitated by an external consultant. For each scenario, the authors use a silent dialogue—revealing the thoughts of the educator as the scenario unfolds, and the thoughts of one of the participants during the same timeframe. The silent dialogues reveal the conflicts and issues inherent in the scenarios. Drawing on the literature on workplace learning, the chapter provides an overview of kinds of workplace learning, and then analyzes the first scenario. This is followed by the presentation of the second scenario and an analysis of that scenario, next turning to transformative learning theory, and using that framework to better understand the kinds of workplace learning and how they can be transformative. The chapter discusses the paradoxes inherent in applying transformative learning theory to workplace learning and lists some implications for practice, theory development, and 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.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.869
Threshold uncertainty score0.459

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.022
GPT teacher head0.294
Teacher spread0.272 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreOther

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".

Quick stats

Citations12
Published2012
Admission routes1
Has abstractyes

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