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Record W2126590053

Restricted Versus Unrestricted Learning: Synthesis of Recent Meta-Analyses

2007· article· en· W2126590053 on OpenAlexaff
Genevieve Johnson

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.064
metaresearch head score (Gemma)0.172
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.936
Threshold uncertainty score0.337

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0640.172
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0200.038
Bibliometrics0.0100.009
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0040.002
Research integrity0.0030.003
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 head0.227
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designMeta-analysis
DomainMethods
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
Published2007
Admission routes1
Has abstractyes

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