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Record W3111292822 · doi:10.11575/prism/38437

Tuning into General Education: Understanding Student Experience in Undergraduate Education

2020· dissertation· en· W3111292822 on OpenAlexfundaboutno aff
Simon Francis Ulmer-Krol

Bibliographic record

VenueOpen MIND · 2020
Typedissertation
Languageen
FieldSocial Sciences
TopicEvaluation of Teaching Practices
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of Calgary
KeywordsMathematics educationUndergraduate educationPedagogyGeneral educationPsychologyMedical educationMedicine

Abstract

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General Education is a program that is generally defined as “the home for a well-rounded education that nurtures skills in communication, numeracy, and critical thinking” (Furman, 2013, p. 130) in post-secondary education. The purpose of this research was to investigate how students experience learning and living within a university in Western Canada that has structured all of its degree programs around General Education. Following case study methodology (Merriam, 2009), data was collected through multiple avenues, including: the review of four institutional and curricular documents, four semi-structured interviews with university faculty, and an online survey and three focus group interviews with current and graduated students. Interpretation of the data was guided by a hermeneutic lens (Smith, 2006), revealing that the student experience of General Education at this university is fundamentally experimental in nature, resulting in great divergences of experiences and understandings of the program. Students experience General Education as both transformative and hermeneutic, challenging and overcoming previously held assumptions and prejudices. Other participants, however, report their experiences as frustrating, irrelevant to their education, and interfering with their core studies. This study’s findings are significant in several respects, including providing the first investigation of a General Education program situated in a Canadian institutional context. These findings can further provide deeper insights into the tensions and incongruities that exist between the philosophical aims of General Education programs and how they are experienced by the students they are meant to serve.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.498
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.293
GPT teacher head0.555
Teacher spread0.262 · 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 designQualitative
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

Citations0
Published2020
Admission routes2
Has abstractyes

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