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Record W2913338684 · doi:10.4018/ijicte.2019040104

Opportunities and Challenges of Cybersecurity for Undergraduate Information Systems Programs

2019· article· en· W2913338684 on OpenAlex
Shouhong Wang, Hai Wang

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Information and Communication Technology Education · 2019
Typearticle
Languageen
FieldComputer Science
TopicInformation and Cyber Security
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsComputer securityThe InternetCurriculumComputer sciencePerspective (graphical)Information technologyEngineering managementWorld Wide WebPolitical scienceEngineering

Abstract

fetched live from OpenAlex

This article investigates the opportunities and challenges of cybersecurity for information systems (IS) programs and proposes a curriculum structure of cybersecurity track for IS programs. The study has collected data from eighty-two course websites of thirteen institutions at the graduate level and sixteen institutions at the undergraduate level as well as twenty descriptions of cybersecurity jobs posted on the internet. The collected qualitative data has been analyzed from the from the perspective of IS education. The findings indicate that the topics of cybersecurity management and essential cybersecurity technology are relevant to the IS discipline. The article suggests that these topics can be the components of two cybersecurity courses offered by IS programs to meet the demands and challenges of cybersecurity.

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)0.001
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 score0.832
Threshold uncertainty score0.421

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.006
Open science0.0010.000
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 head0.022
GPT teacher head0.264
Teacher spread0.242 · 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