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Record W2138982943 · doi:10.5430/ijhe.v1n2p43

Examining Mobile Technology in Higher Education: Handheld Devices In and Out of the Classroom

2012· article· en· W2138982943 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.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueInternational Journal of Higher Education · 2012
Typearticle
Languageen
FieldComputer Science
TopicMobile Learning in Education
Canadian institutionsWilfrid Laurier University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsMobile deviceMobile technologyMultimediaComputer scienceGraduate studentsPsychologyMedical educationMathematics educationPedagogyMedicineWorld Wide Web

Abstract

fetched live from OpenAlex

This study followed an innovative introduction of mobile technology (i.e., BlackBerry © devices) to a graduate level business program and documented students’ use of the technology from the time students received the devices to the end of their first term of study. Students found the BlackBerry © device easy to use, and were optimistic regarding its potential role as an instructional tool. Students were self-directed in their use of the devices and found ways to use them within and outside of their classroom even when specific uses were not provided by instructors. Students used their devices most frequently for communication purposes. Overall, although supporting a modest positive view toward this initial introduction to mobile technology as a learning tool, classroom instructional use was more limited than student-directed use in and outside the classroom.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.317

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.025
GPT teacher head0.322
Teacher spread0.296 · 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