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Record W2746402451 · doi:10.5539/hes.v7n3p181

Students, Mobile Devices and Classrooms: A comparison of US and Arab Undergraduate Students in a Middle Eastern University

2017· article· en· W2746402451 on OpenAlexvenueno aff
Bibi Rahima Mohammad Abu Taleb, Chris Coughlin, Michael H. Romanowski, Yassir Semmar, Khaled Hosny Hosny

Bibliographic record

VenueHigher Education Studies · 2017
Typearticle
Languageen
FieldComputer Science
TopicMobile Learning in Education
Canadian institutionsnot available
Fundersnot available
KeywordsMiddle EastMobile deviceHigher educationGlobalizationMathematics educationSignificant differenceMedical educationPsychologyPolitical scienceComputer scienceMedicineWorld Wide Web

Abstract

fetched live from OpenAlex

The use of mobile devices in the university classroom is not limited to Western cultures. Rather universities in the Middle East, particularly in the Gulf Cooperation Countries face similar problems regarding smartphone usage in classrooms. This study utilizes Tindell and Bohlander’s (2012) survey to compare results regarding cell phones and text messaging in a small private US university to those in a Middle Eastern University located in a GCC country. The authors surveyed 300 randomly selected undergraduate students representing 26 majors located in seven different colleges to gain an understanding of their cell phones use in university classrooms. Comparison with US students demonstrates these students share a great deal of similarities although several findings indicate differences. To address the similarities and difference, the authors discuss globalization and relevant issues regarding the role culture plays in the use of this technology.

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.

How this classification was reachedexpand

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 score0.010
Threshold uncertainty score0.508

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 science0.0010.001
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 head0.056
GPT teacher head0.377
Teacher spread0.322 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2017
Admission routes1
Has abstractyes

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