MétaCan
Menu
Back to cohort

Investigating the Alignment of Intended, Enacted, and Perceived Learning Outcomes in an Authentic Research-Based Science Program

2019· article· en· W3004129015 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueThe Canadian Journal for the Scholarship of Teaching and Learning · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicProblem and Project Based Learning
Canadian institutionsToronto Metropolitan UniversityUniversity of CalgaryUniversity of Manitoba
Fundersnot available
KeywordsCurriculumPerceptionFocus groupConsistency (knowledge bases)Context (archaeology)Authentic learningPsychologyPedagogyMathematics educationMedical educationComputer scienceSociologyMedicine

Abstract

fetched live from OpenAlex

This study investigates the intended, enacted, and perceived curriculum in an authentic research-based science program using curriculum mapping as a tool for analysis. The main research inquiry guiding this study is: How do the students’ perceptions on their achieved learning outcomes in an authentic research-based learning environment align with the intended and enacted outcomes? A mixed method approach was adopted, where the program and its core-courses were mapped from different perspectives. Data on the learning outcomes and perceptions of students learning were collected through questionnaires, focus groups, and interviews from multiple perspectives. Results of the curriculum mapping showed consistency and cogency of program and course-level learning outcomes. Students’ perceptions of their authentic research experiences were well-aligned with the intended and enacted learning outcomes. The results of this study could be used to help other programs implement similar curriculum review approaches in their context.

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.

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)0.058
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.163
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0580.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0110.002
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.004
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 head0.091
GPT teacher head0.410
Teacher spread0.319 · 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