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Record W2126590053

Restricted Versus Unrestricted Learning: Synthesis of Recent Meta-Analyses

2007· article· en· W2126590053 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.

Bibliographic record

VenueAACE journal · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsMacEwan University
Fundersnot available
KeywordsPaceMathematics educationAutonomyComputer scienceAcademic achievementEducational technologyEducational researchMeta-analysisHigher educationPsychologyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Meta-analysis is a method of quantitatively summarizing the results of experimental research. This article summarizes four meta-analyses published since 2003 that compare the effect of DE and traditional education (TE) on student learning. Despite limitations, synthesis of these metaanalyses establish, at the very least, equivalent learning outcomes for DE and TE. Research efforts should now be directed toward the more important question: Why is DE not clearly superior to TE? TE is restricted by time-place-pace: DE is marginally influenced by such restrictions. Intuitively, learning opportunities that are convenient and individualized, as opposed to those that are fixed and inflexible, should result in higher student achievement. DE demands learner responsibility and affords learner autonomy, both of which facilitate academic achievement. Instructional technology, virtually synonymous with DE, is a force that can transform instruction. Why is DE not clearly superior to TE?

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)0.003
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient 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 score0.950
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.227
GPT teacher head0.448
Teacher spread0.221 · 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