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Record W2143485732 · doi:10.1109/icns.2010.52

Large Scale Delivery of Cisco Networking Academy Program by Blended Distance Learning

2010· article· en· W2143485732 on OpenAlexfundno aff
Nicky Moss, Andrew Smith

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicExperimental Learning in Engineering
Canadian institutionsnot available
FundersConsortium canadien en neurodégénérescence associée au vieillissementCisco Systems
KeywordsConstructivist teaching methodsComputer scienceDistance educationCurriculumKey (lock)Blended learningScale (ratio)MultimediaEducational technologyMathematics educationPsychologyComputer securityTeaching methodPedagogy

Abstract

fetched live from OpenAlex

This paper reports upon the success that The Open University of the United Kingdom (UKOU) has had in delivering the Cisco Exploration Curriculum, as an undergraduate course (T216), using a Blended Distance Learning Model (BDL). It discusses the importance of Supported Open Learning as a method of supporting students, and the key role of simulators, remote access tools and day schools. It is argued that a constructivist learning approach was taken when designing T216, which is demonstrated by this BDL model. BDL has proven to be an excellent way of delivering Cisco courses to adult learners, as supported by student feedback and attainment. BDL offers the Cisco Networking Academy program an opportunity to extend reach in both existing and new markets.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.002

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 head0.224
Teacher spread0.220 · 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.

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".

Quick stats

Citations12
Published2010
Admission routes1
Has abstractyes

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