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Record W2587848901 · doi:10.5430/ijhe.v6n1p251

Design and Intervention of an Educational-Leadership Program: Student Voice and Agency, Expectations and Internationalization

2017· article· en· W2587848901 on OpenAlexvenueno aff
Anna Elizabeth Du Plessis

Bibliographic record

VenueInternational Journal of Higher Education · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Practises and Engagement
Canadian institutionsnot available
Fundersnot available
KeywordsPreparednessPedagogyCurriculumInternationalizationEducational leadershipHigher educationTeacher educationSociologyGeneralizability theoryAgency (philosophy)PsychologyMedical educationPolitical scienceMedicine

Abstract

fetched live from OpenAlex

This paper explores the lived experiences of a diverse student cohort enrolled in a master’s degree educational-leadership program. The program’s global focus was on the quality of teacher education, prospective teachers’ workplace preparedness and leaders in the workforce in higher education. Internationalization, real-life experiences and student voice served as an enacted intervention curriculum for an educational leadership course designed to reveal the gap between theory and practice. An epistemological diversity lens stimulated critical reflection on students’ participation in the course design and its connection to realities in the field. Diverse higher-education classrooms pose specific challenges for educational leadership programs in including effective internationalization, workplace relevance and improving the generalizability and content validity of the educational leadership course. This small qualitative exploratory investigation provides an in-depth understanding of the value of student voice in informing course and program design. Interviews, observations, two surveys and a document analysis triangulated the data and provided information on the complexities in higher-education classrooms. The findings focus on teacher-educators and higher-education classroom management as well as on the value of critical inquiry, reflection and intervention for existing course designs and transformation.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.855
Threshold uncertainty score0.468

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 communication0.0000.002
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 head0.125
GPT teacher head0.477
Teacher spread0.353 · 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 designObservational
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

Citations4
Published2017
Admission routes1
Has abstractyes

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