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Record W2077399770 · doi:10.47678/cjhe.v33i3.183440

A Journey Toward Learner-Centered Curriculum

2003· article· en· W2077399770 on OpenAlexaffvenue
Claudia Emes, Martha Cleveland‐Innes

Bibliographic record

VenueCanadian Journal of Higher Education · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsAthabasca UniversityUniversity of Calgary
Fundersnot available
KeywordsCurriculumCurriculum theoryCurriculum mappingEmergent curriculumAccountabilityMathematics educationCurriculum developmentFace (sociological concept)PedagogyComputer scienceSociologyEngineering ethicsPsychologyPolitical scienceEngineering

Abstract

fetched live from OpenAlex

In higher education, competing demands for accountability and innovation in the face of globalization, technology, and budget cuts cause us to consider how best to prepare learners who will learn for a lifetime. We contend that a shift in our understanding of curriculum design to accommodate learner-centeredness will provide the framework for preparing graduates for a lifetime of learning. Learner-centered curriculum proposes to create highly developed individuals, providing them the skills to continue creating learning experiences, digest current knowledge, and create new knowledge within the curriculum itself. Curriculum characteristics, as identified in the curriculum design project presented here, include content appropriate to the characteristics of a new society. It also includes all that is required of a curriculum in order for it to be transparent and easily understood as the scaffolding of learning. This definition of a learner-centered curriculum includes components that educators deem to be relevant and vital for students. It adds curriculum processes and required outcomes to prepare students for curriculum creation alongside educators.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.642
Threshold uncertainty score0.997

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.046
GPT teacher head0.345
Teacher spread0.299 · 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 designNot applicable
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

Citations37
Published2003
Admission routes2
Has abstractyes

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