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Record W2123508417 · doi:10.19173/irrodl.v2i2.63

Web-Based Education at Conventional Universities in China: A Case Study

2002· article· en· W2123508417 on OpenAlexvenueno aff
Weiyuan Zhang, Guozhen Jiang, Niu Jian

Bibliographic record

VenueThe International Review of Research in Open and Distributed Learning · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsnot available
Fundersnot available
KeywordsChinaGovernment (linguistics)Web applicationInformation and Communications TechnologyEducational technologyDistance educationPolitical scienceWeb 2.0The InternetPublic relationsWorld Wide WebComputer science

Abstract

fetched live from OpenAlex

With advances in information and communication technology (ICT), Web-based education has become an increasingly popular instructional mode all over the world. In recent years, the Chinese government has authorized a total of 45 universities to offer Web-based educational programs. One is China Central Radio and Television University, the Open University in China. The other 44 universities are all leading conventional universities. This case study is intended to provide a descriptive analysis of Web-based educational practices at the 44 leading conventional universities, by focusing on the current state of Web-based education in China and its discernible trends for the future. It is hoped this analysis of Web-based educational efforts in China will provide some insight for other countries.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.841
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.081
GPT teacher head0.462
Teacher spread0.381 · 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 designObservational
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

Citations30
Published2002
Admission routes1
Has abstractyes

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