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Capstone Experience Purposes

2021· article· en· W3194580860 on OpenAlexaffabout
Russell Kirkscey, Julie Vale, Jennifer Hill, James Michael Weiss

Bibliographic record

VenueTeaching & Learning Inquiry The ISSOTL Journal · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsUniversity of Guelph
FundersUniversity of GloucestershirePennsylvania State UniversityElon UniversityPenn State Harrisburg, Pennsylvania State UniversityUniversity of PennsylvaniaBoston College
KeywordsSyllabusCapstoneAccreditationInclusion (mineral)Variety (cybernetics)Medical educationHigher educationLiberal arts educationCapstone coursePublic relationsPedagogySociologyPolitical scienceCurriculumMedicineComputer scienceSocial science

Abstract

fetched live from OpenAlex

Capstone experiences (CEs) serve a variety of purposes in higher education as opportunities to apply academic skills, explore post-graduate life and employment, and achieve a meaningful undergraduate event. This study investigated the purposes of CEs through a content analysis of institutional course syllabi/course outlines/module outlines and catalog/calendar descriptions at five institutions of higher education: a large public research university in Canada, a large public teaching university in the United Kingdom (UK), a college of a large public research university in the United States (US), and two medium-sized private liberal arts universities in the US. Using the CE purposes found in a review of scholarly literature as a research guide, the authors analyzed 84 institutional documents. CE purposes that appeared in the sample at lower percentages when compared with published studies included oral communication, a coherent academic experience, preparation for graduate school, preparation for life after college, and civic engagement/service learning. Implications for practice include the need for instructors and administrators to consider revising CE documents to better reflect the content and goals of the courses and to address the requirements of other audiences (e.g., program reviewers, accreditation evaluators). Moreover, the results of this study may assist educators in considering reasons for omitting explicit purposes from CE documents and/or justifying the inclusion of previously omitted purposes.

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)0.004
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.759
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.065
GPT teacher head0.399
Teacher spread0.335 · 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

Citations8
Published2021
Admission routes2
Has abstractyes

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