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Record W2282511349 · doi:10.5539/ies.v9n3p197

The Undesirable Behaviors of Students in Academic Classrooms, and the Discipline Strategies Used by Faculty Members to Control Such Behaviors from the Perspective of the College of Education Students in King Saud University

2016· article· en· W2282511349 on OpenAlexvenueno aff
Norah Saad Sultan Al Qahtani

Bibliographic record

VenueInternational Education Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicAcademic integrity and plagiarism
Canadian institutionsnot available
Fundersnot available
KeywordsCheatingDisciplinePsychologyNoticePerspective (graphical)Class (philosophy)Mathematics educationSample (material)Control (management)EmbarrassmentMedical educationPedagogySociologySocial psychologyMedicineManagement

Abstract

fetched live from OpenAlex

<p class="apa">This study aimed to identify the undesirable students’ behaviors in academic classrooms, and the disciplinary, preventive and therapeutic strategies that will be used by faculty members to control those behaviors from the perspective of the College of Education’s students in King Saud University. The results of the study has shown that the undesirable behavior in academic classrooms that strongly apply to the sample are: cheating and plagiarism regarding homework and research, replying with a rude manners, using cell phones, side talking, and arriving late to lectures. And in regards to the discipline strategies that are used by faculty members, which strongly apply to the sample, and are related to co-educational assets, are: submitting a detailed plan at the beginning of the semester, establishing clear and concise discipline rules in the classroom and strictly follow them, explaining the consequences of not following the classroom discipline rules, treating students with respect and without mockery or embarrassment, and maintaining eye contact. In addition, the therapeutic disciplinary strategies are: giving a first notice to the student to remind him or her of the discipline rules, asking the student calmly but strictly to stop the undesirable behavior. The study has come up with a number of recommendations and suggestions.</p>

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.499
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.040
GPT teacher head0.423
Teacher spread0.383 · 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

Citations6
Published2016
Admission routes1
Has abstractyes

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