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Record W3173159724 · doi:10.5539/ies.v14n7p101

A Nexus of Group Learning and Collaborative Learning Facilities in Stimulating Oral Interaction of Learners: A Case of Saudi Arabia

2021· article· en· W3173159724 on OpenAlexvenueno aff
Abdulbagi Babiker Ali Abulhassan, Fatima Ibrahih Altayeb Hamid

Bibliographic record

VenueInternational Education Studies · 2021
Typearticle
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsCollaborative learningCooperative learningPsychologySocializationExperiential learningNexus (standard)Service-learningLearning environmentMathematics educationMedical educationActive learning (machine learning)PerceptionTeaching methodPedagogyMedicineSocial psychologyComputer science

Abstract

fetched live from OpenAlex

The collaborative learning environment promotes socialization and learning among the students. Therefore, the present study has focused on stimulating oral interaction among students through group and collaborative learning. A qualitative survey study was conducted by selecting ten tenth-grade male students with ages ranging between 14 and 15 years. A total of 10 students were randomly selected from collaborative learning classrooms and were asked about their experiences in that particular environment. The data gathered through interviews were transcribed and presented in the form of themes to highlight students’ perceptions towards a collaborative learning environment. The results demonstrated that most students perceived that the collaborative learning environment was very beneficial for them. It built self-confidence, improved their oral presentation skills, made them responsible, performed diverse tasks, and respected opinions. Therefore, it is suggested that collaborative learning concepts should be implemented in EFL education programs for in-service and pre-service teachers.

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)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.619
Threshold uncertainty score0.668

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
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 head0.102
GPT teacher head0.493
Teacher spread0.391 · 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 designQualitative
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

Citations2
Published2021
Admission routes1
Has abstractyes

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