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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 OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

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.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.686
Threshold uncertainty score0.834

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 integrity0.0000.001
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 head0.224
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

Quick stats

Citations12
Published2010
Admission routes1
Has abstractyes

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