MétaCan
Menu
Back to cohort
Record W4388745655 · doi:10.5539/ass.v19n6p72

The Effect of Using Brainstorming on Developing Innovative Thinking and Achievement in Teaching English Language Students

2023· article· en· W4388745655 on OpenAlexvenueno aff
Amaal Al Masri, Mona Smadi

Bibliographic record

VenueAsian Social Science · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicTechnology-Enhanced Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBrainstormingFluencyMathematics educationEnglish languagePsychologyOriginalityTest (biology)Creative thinkingStatistical significanceCreativityComputer scienceMathematicsSocial psychologyStatistics

Abstract

fetched live from OpenAlex

This study aimed to determine whether or not brainstorming can help foster creative thinking and academic success in seventh-grade English classes at the Wadi Al Seer Directorate of Education. The study's sample was comprised of (240) students at this grade level. There were 124 students in the study's experimental group, who received instruction in the English language through brainstorming, and 116 students in the control group, who received instruction in the English language through the conventional method. Following the end of instruction, valid and reliable innovative thinking and accomplishment tests were administered using appropriate statistical methodologies to ensure their validity and reliability on a scientific basis. The study found the following results: Results from a poststudy test measuring creative problem-solving abilities (fluency, adaptability, and originality) showed that the experimental group that had studied English using brainstorming had a statistically significant advantage over the control group at the 0.05 level. Statistically significant differences were seen at a significance level of 0.05 between the average performance of the two groups in the study's achievement posttest. These differences were in favor of the experimental group, which used brainstorming as a method to study the English language subject.

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)0.006
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.422
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0030.001
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 head0.021
GPT teacher head0.402
Teacher spread0.381 · 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.

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

Citations1
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueAsian Social ScienceSame topicTechnology-Enhanced Education StudiesFrench-language works237,207