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Record W2759109718 · doi:10.18260/1-2--17046

International Collaboration in Curriculum and Laboratory Development

2020· article· en· W2759109718 on OpenAlexaff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicBiomedical and Engineering Education
Canadian institutionsUniversity of Waterloo
FundersAll India Council for Technical EducationInstitution of Engineers (India)
KeywordsChinaCurriculumPolitical scienceCommonwealthBeijingGlobalizationLibrary scienceEconomic growthManagementSociologyLaw

Abstract

fetched live from OpenAlex

Abstract ASEE INTERNATIONAL LEARNING FORUM San Antonio, June 9=10, 2012 INTERNATIONAL COLLABORATION IN CURRICULUM AND LABORATORY DEVELOPMENT Prof R Natarajan Former Chairman, All India Council for Technical Education Former Director, Indian Institute of Technology, Madras, India prof.rnatarajan@gmail.comAbstract:International collaboration in Higher and Engineering Education has beenreceiving increasing attention of national governments, international agencies andinstitutions of higher education during the past few decades, particularly since thegeneral acceptance of globalization worldwide. Among the goals of internationalcollaboration is the addition of an international dimension to the course contentsand teaching programs. The formalization of collaboration is essentially through anMoU which sets out the objectives, mechanisms, financial arrangements and IPRissues.India has a long history of international collaboration with several countriesworldwide, also with other Asian countries, such as China, Japan, Korea andMalaysia. Some of the successful collaborations are, for example, through themechanisms of: India-China Eminent Persons Group, Japan Society for Promotionof Science, Association of Commonwealth Universities Conferences and theAnnual Asian University Presidents Conferences. The Indian Society for TechnicalEducation participated in the India-China Dialogue during the GEDC Conferencein Beijing last year, where bilateral faculty and student exchanges were discussedas a means of benefiting from the collaboration. 1The recent initiatives in several countries in Asia to join the Washington Accordhave stimulated interest in Outcomes-Based Teaching-Learning (OBTL), whichinvolves the articulation of Program Objectives and Program Outcomes. Inaddition, Howard Gardner’s Theory of Multiple Intelligences and Edgar Dale’sCone of Experience have been responsible for Curriculum and PedagogyInnovations. There are also significant changes in the objectives and design ofLaboratory Instruction and Practices.There is a number of pre-requisites for achieving success in bilateral internationalcollaboration: commitment at the top, faculty “champions” to undertake andimplement the identified tasks with enthusiasm, trust between the partners, mutualbenefit for both partners, and strategies for ensuring sustainability. 2

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.466
Threshold uncertainty score0.128

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 communication0.0000.000
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 head0.004
GPT teacher head0.201
Teacher spread0.197 · 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 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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