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Record W2907280142 · doi:10.5539/ies.v12n1p146

Preparation of University Students to Be Role Models in General Biology Laboratory

2018· article· en· W2907280142 on OpenAlexvenueno aff
Anas Almuhammadi, Ashraf Khallaf, D. Abuljadayel, D. Alsudairi, Huthaifa I. Ashqar, Hani S. Alharbi, Ibrahim Alhazmi, N. Zelai, Nasser Hakami, R. Alhindi

Bibliographic record

VenueInternational Education Studies · 2018
Typearticle
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyTeamworkGroup dynamicGroup workTeam effectivenessTeaching methodWork (physics)Mathematics educationMedical educationSocial psychologyKnowledge managementManagementComputer scienceEngineeringMedicine

Abstract

fetched live from OpenAlex

Teaching has become a challenge mission among generations as direct instructions are not effective anymore and; therefore, students need to be convinced for sharing and fulfilling their responsibilities. In this study, students are perceived to act as role models in managing the laboratory classes of general biology. Four groups were classified as co-lecturers, co-technicians, safety group, and green team. This experiment was evaluated by both students and staff team. The results showed that the most effective group was the co-lecturer as it showed high level of cooperation, work with love, truth, motivate others, and team management. The advantages of this experiment were more likeable as compared to the disadvantages; although, participants suggest that more information is needed to improve the group work.

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)0.000
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 score0.314
Threshold uncertainty score0.276

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
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 head0.110
GPT teacher head0.536
Teacher spread0.425 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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