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Record W2811273430 · doi:10.55016/ojs/ajer.v64i2.56463

Undergraduate Adult Education in the Contemporary Neoliberal University

2018· article· en· W2811273430 on OpenAlexaffvenue
André P. Grace, Leona M. English

Bibliographic record

VenueAlberta Journal of Educational Research · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Learning Practices
Canadian institutionsSt. Francis Xavier UniversityUniversity of Alberta
Fundersnot available
KeywordsHigher educationCredentialPedagogyCurriculumAdult educationBachelorExperiential learningSociologyPublic relationsPsychologyPolitical science

Abstract

fetched live from OpenAlex

In contemporary times, undergraduate adult education programs have to respond to changing student profiles and needs, institutional requirements, marketplace and workplace demands, and emerging technologies. Students in these programs tend to be non-traditional learners who are usually older and employed. They come with an array of prior learning experiences in life, work, and community contexts. These motivated learners have diverse reasons for wanting to engage in academic studies in adult education: They require knowledge of adult education to become trainers in business and industry; they have been educators, but they need to know what’s new to enhance and update their everyday pedagogical practices; they seek a university credential to ensure a new future; they need new learning for job transitions; they need to learn new modes of assessment; they want to work with industry partners to write curricula. This list of reasons is far from exhaustive. Considering the kinds of non-traditional students seeking a Bachelor of Education in Adult Education today, admission requirements need to be more in tune with what they bring to the learning table. For example, prior learning assessment that recognizes significant experiential learning could be a stronger criterion in the admissions process. In this perspective piece, we examine the current learning milieu in the neoliberal university and some matters affecting student participation in undergraduate adult education. À l’époque contemporaine, les programmes de premier cycle d’éducation des adultes doivent s’adapter à l’évolution des profils et des besoins des étudiants, des exigences institutionnelles, des demandes du marché du travail et des milieux de travail, et des nouvelles technologies. Les étudiants inscrits à ces programmes tendent à être des apprenants non-traditionnels qui sont souvent plus âgés et salariés. Ils arrivent avec toute une gamme d’expériences d’apprentissage dans la vie, au travail et dans la communauté. Les raisons qui poussent ces apprenants motivés à entreprendre des études académiques sont diverses : il leur faut les connaissances fournies par les programme d’éducation des adultes pour devenir formateurs dans le monde des affaires ou en industrie; ils ont été enseignants mais doivent se mettre à jour de sorte à améliorer et moderniser leur pratiques pédagogiques; ils désirent une accréditation universitaire pour s’assurer un nouvel avenir; ils ont besoin de nouvelles connaissances pour changer d’emploi; ils doivent apprendre de nouvelles formes d’évaluation; ils veulent travailler avec des partenaires du secteur pour créer du matériel pédagogique. Cette liste est loin d’être exhaustive. Compte tenu du genre d’étudiants non-traditionnels qui s’inscrivent au Baccalauréat en Éducation en éducation des adultes, les exigences d’admission doivent être davantage en phase avec les compétences et les expériences avec lesquelles ils arrivent à l’université. Par exemple, une évaluation des connaissances acquises qui tiendrait compte de l’apprentissage par l’expérience pourrait constituer un critère de choix plus important pendant le processus d’admission. Dans cet article d’opinion, nous nous penchons sur le milieu actuel de l’apprentissage dans le monde universitaire néolibéral et sur quelques enjeux touchant la participation des étudiants dans les programmes de premier cycle en éducation des adultes. Mots clés : programmes de premier cycle en éducation des adultes

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)0.003
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.561
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.102
GPT teacher head0.473
Teacher spread0.371 · 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 designNot applicable
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".

Quick stats

Citations1
Published2018
Admission routes2
Has abstractyes

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