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Record W1881117488 · doi:10.22329/celt.v8i0.4264

The Road Less Travelled? Pathways from Passivity to Agency in Student Learning

2015· article· en· W1881117488 on OpenAlexafffundvenue
Gail Frost, Maureen Connolly

Bibliographic record

VenueCollected Essays on Learning and Teaching · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicReflective Practices in Education
Canadian institutionsBrock University
FundersBrock University
KeywordsFormative assessmentSummative assessmentPsychologyMathematics educationAgency (philosophy)Process (computing)CurriculumPedagogySubject matterProduct (mathematics)Qualitative researchEpistemologySociologyComputer science

Abstract

fetched live from OpenAlex

This qualitative study examined fourth-year undergraduate students’ responses to reflective writing prompts and journal entries related to their practical experiences in two capstone courses, both based in SBL/PBL pedagogies. We examined their ‘strategic’ approaches to learning that make engagement with subject matter and learning processes more instrumental than meaningfully grasped and applied. Three levels of analysis were used in a recursive process of description, reduction, and interpretation, and the results were added to our previous work examining student responses to reflective activities that foster deep learning. Our provisional conclusions are that strategic learners are invested in a mastery relationship with subject matter that makes grade procurement the evidence of this mastery and this shifts their focus to product over process as an obvious consequence. This disconnect from process leads students to an unhelpful relationship with formative assessment and feedback. They tend to wrestle with the formative elements and see them as mini summative assessments or quasi final products, rather than the necessarily perplexing engagement that leads to the imaginative generation of possibilities and recursive building and refining of ideas and processes. Our future research will focus on environments that encourage more comfort with mistakes and contingencies as learning opportunities.

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)0.005
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.418
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.048
GPT teacher head0.376
Teacher spread0.328 · 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
Published2015
Admission routes3
Has abstractyes

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