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Record W4396820413 · doi:10.22353/mjflc2012121

Higher education quality assessment: comparative analysis; international experience

2012· article· en· W4396820413 on OpenAlexaboutno aff
Baatarbileg Altangerel

Bibliographic record

VenueMongolian Journal of Foreign Languages and Culture · 2012
Typearticle
Languageen
FieldComputer Science
TopicEducational Innovations and Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsQuality assessmentQuality (philosophy)PsychologyPolitical scienceMedical educationMedicineEpistemologyLawPhilosophy

Abstract

fetched live from OpenAlex

Дээд боловсрол нь хөдөлмөрийн зах зээлийн хэрэгцээнд нийцүүлэн хүний нөөцийг хөгжүүлэх, технологийн дэвшлийг хангах нэн чухал хөшүүрэг болж, энэ утгаараа тухайн улсын эдийн засгийн өрсөлдөх чадварыг тодорхойлох гол талбар болж байна. Иймээс улс орнууд дээд боловсролын чанарыг сайжруулах олон хувилбарт хандлагыг хэрэгжүүлж байна. Дээд боловсролын чанарын үнэлгээний олон хэлбэрийг хослуулан хэрэглэх нь нийтлэг хандлага болж байна. Дээд боловсролын чанарын үнэлгээ нь тухайн орны боловсролын удирдлагын бодлого, Засгийн газар болон дээд боловсролын байгууллагын түншлэл, санхүүжүүлэлтийн механизмаас хамаарч өөрийн онцлогтой байна. Гадаад орнуудын дээд боловсролын чанарын үнэлгээний систем, туршлагыг Монголын тогтолцоотой харьцуулан судлах нь монголын дээд боловсролын чанарын үнэлгээний тогтолцоо, механизмыг боловсронгуй болгоход нэн ач холбогдолтой юм. Даяаршлын эринд дээд боловсрол нь улс орны өрсөлдөх чадварыг тодорхойлох нэн чухал хүчин зүйл болж байна. Эдийн засгийн өрсөлдөх чадварыг дээшлүүлэх, мэдлэгт суурилсан эдийн засгийг хөгжүүлэхэд шинжлэх ухаан, өндөр технологи болон чадварлаг мэргэжлийн боловсон хүчин шийдвэрлэх үүрэг гүйцэтгэх боллоо. Иймээс хөдөлмөрийн зах зээлийн хэрэгцээнд нийцүүлэн дээд боловсролыг хөгжүүлэх, дээд боловсролын чанарыг дээшлүүлэх нь өнөөгийн чухал зорилт болж байна. Улс орон бүр дээд боловсролыг хөгжүүлэхэд стратегийн тодорхой бодлогыг хэрэгжүүлж байна. Quality assurance systems in Higher education are dependent on policy and models of Higher education governance in different countries. Quality assurance and governance share several key issues as a strategic planning, organizational structure and Common features for quality assurance systems-developing autonomy of Higher education institutions and improving social responsibility of these HEI-s, diversification of sources for selffinancing. In countries of Central Asian region, China and Russia quality assurance system is dependent of Government in some In USA, Canada, Philippines and Tailand quality assurance system is fully independent. In Australia and New Zealand Quality assurance system is open to some influence from Government. Quality assurance systems in Mongolia and China have differences in terms of quality assurance process and balancing between summative and formative approaches to quality assurance. In last years combined system of Quality assurance systems is becoming as a common approach to Worldwide Higher education reflecting interest of modern corporate governance.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.936
Threshold uncertainty score0.261

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.060
GPT teacher head0.417
Teacher spread0.357 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations0
Published2012
Admission routes1
Has abstractyes

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