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When Conducting Research Using TL, Who Decides If Experiences Have Been Transformative - The Researcher or the Research Participant?

2016· article· en· W2479287046 sur OpenAlexaffabout
C. L. Cook

Notice bibliographique

RevueJournal of Transformative Learning · 2016
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueAdult and Continuing Education Topics
Établissements canadiensMount Royal University
Organismes subventionnairesnon disponible
Mots-clésTransformative learningPsychologyLeadership developmentSociologyQualitative researchPedagogyPublic relationsSocial sciencePolitical science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Many Canadian organizations have adopted job rotation as a leadership development intervention to ameliorate current and anticipated talent shortages in their leadership ranks (Cook in press).   Corporately structured rotational leadership development programs (RLDPs) provide high potential employees with opportunities for development through a series of planned rotational job assignments, often across diverse business units.  My recent phenomenological investigation attempted to address a gap identified by the absence of in-depth qualitative research concerning the perspectives and experiences of RLDP participants in Canada. Understanding the participants’ perspectives and experiences as they are hired to, move through, and complete an RLDP has provided a more holistic perspective of organizational programming for the purposes of developing leadership capacity through job rotation.  Applying a socio-constructivist worldview and employing the transcendental phenomenological research tradition, I sought to understand the lived experiences of nine RLDP participants at one diversified Canadian firm (Cook in press ).  Mezirow’s Transformative Learning Theory, one of the most frequently referenced, researched, and critiqued theories of adult learning, underpinned the theoretical framework for the study.  What emerged as an unanticipated research challenge was the distance between my own perspective and the research participants’ perspectives of when transformative learning may have occurred.  In my challenge to honor both the research participants’ perspectives, and also the phenomenological research tradition, an additional research question arose for me – when conducting research using transformative learning, who decides if experiences have been transformative – the researcher or the research participants?  Since arriving to the conversation of adult learning almost 40 years ago (Mezirow, 1978), transformative learning has exploded as a theory to understand adult development, and it was felt for this research that it could consequently have utility to understand leadership development.  Particularly for emerging leaders, finding their ways in their own professional and leader identities is fundamentally a learning process, and may be a transformative one for many.  Brown and Posner state the best future leaders will be those who are the best learners and are able to learn from the workplace and also from their own experiences in it (2001).  Deep learning comes from a learner’s ability to reflect and intentionally accept or reject new knowledge, to think critically about the validity of new information, and to make conscious choices and create competence for one’s own role, decisions, and relationships (Mezirow, 1991, pp. 6–7).  During the interviews with each research participant, there seemed varying degrees of willingness to decree their experiences as transformative and the challenge persisted through the data analysis phase of the study.  There seem sufficient critics and critiques of Mezirow’s work to make allowance for this research challenge, including that transformative learning theory focuses too much on the individual and thus fails to address social dynamics (Tennant, 1993, p. 35) or that what may manifest as perspective transformation may just be standard, even expected, development or maturation (Tennant, 1993).  Ultimately, I concluded (with some obviousness), that the research participant ultimately makes this decision – though the inquiry served as a powerful reminder for me to honor the method and methodology established for the research, as well as well as the conceptual and theoretical frameworks, regardless of some of the challenges they may have imposed.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,033
score de la tête « metaresearch » (Gemma)0,007
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Études des sciences et des technologies
Catégories consensuellesÉtudes des sciences et des technologies
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,105
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0330,007
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0050,003
Communication savante0,0010,002
Science ouverte0,0010,000
Intégrité de la recherche0,0000,002
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,587
Tête enseignante GPT0,543
Écart entre enseignants0,044 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2016
Routes d'admission2
Résumé présentoui

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