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Record W2043589267 · doi:10.1109/educon.2014.6826138

Integrating practical CISCO CCNA courses in the Computer Networks' curriculum

2014· article· en· W2043589267 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
KeywordsComputer scienceCurriculumCourse (navigation)Core curriculumSoftwareBig dataMultimediaEngineering

Abstract

fetched live from OpenAlex

Nowadays, both wired and wireless computer networks have significant importance. In addition, we are entering the world of big data analysis, where a lot of data is transferred from the sources to given computing centers for further processing. This trend requires changes in the computer science' computer networking curriculum in order to prepare the students with market opportunities and challenges after graduating. The Computer Networks (and / or data communications) course, or the whole knowledge area of networking and communication in general, are supposed to be a core part of computer science and net centric computing. Given the fact that these students prefer to learn software oriented courses, the Universities have to make the course more interesting and sophisticated enough to follow today's trends. In this paper, we present a new adaptive curriculum for the Computer Networks course. The students have the opportunity to choose between a practically or theoretically oriented course. Our intention is to make the most of the learning objectives in the course more practical and thus initiate increased interest of the students. However, the core part of theoretical lectures about low level reliable data communication is obligatory for both approaches.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.863
Threshold uncertainty score0.384

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 head0.006
GPT teacher head0.243
Teacher spread0.238 · 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

Citations9
Published2014
Admission routes1
Has abstractyes

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Same topicExperimental Learning in EngineeringFrench-language works237,207