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Record W4243838442 · doi:10.1145/1595496.1562896

An academic kit for integrating mobile devices into the CS curriculum

2009· article· en· W4243838442 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueACM SIGCSE Bulletin · 2009
Typearticle
Languageen
FieldComputer Science
TopicMobile and Web Applications
Canadian institutionsBlackberry (Canada)University of Guelph
Fundersnot available
KeywordsMobile deviceCurriculumComputer scienceMultimediaSoftwareMobile technologyEngineering managementSoftware engineeringEngineeringWorld Wide WebOperating systemPedagogySociology

Abstract

fetched live from OpenAlex

In this paper we present our freely available academic kit to help universities in integrating mobile devices into the Computer Science (CS) curriculum. The kit was designed and developed at the Centre for Mobile Education and Research at the University of Guelph, and includes instructors' resources for introducing and teaching mobile application development. The first release of the kit includes the teaching material for a full introductory course on mobile application development, and concrete teaching modules for integrating mobile devices into courses on software engineering, game design and development, web services, information security, and operating systems.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.880
Threshold uncertainty score0.511

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 science0.0030.000
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 head0.012
GPT teacher head0.295
Teacher spread0.283 · 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