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Record W4386860261 · doi:10.18488/61.v11i3.3479

Perception and behavior of high school students towards developing problem solving and creativity skills to solve physics assignments

2023· article· en· W4386860261 on OpenAlexaboutno aff
Nam Nguyen Hai, Huy Thanh Le, Hai Nguyen Thanh, Van Giao Le

Bibliographic record

VenueInternational Journal of Education and Practice · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicScience Education and Pedagogy
Canadian institutionsnot available
FundersĐại học Huế
KeywordsCreativityMathematics educationPerceptionPhysics educationRelevance (law)Quarter (Canadian coin)Style (visual arts)PsychologySocial psychology

Abstract

fetched live from OpenAlex

This study aimed to explore the learning approaches and preferences of high school students in Vietnam when studying physics. A survey was completed by 2,040 students from ten different schools on improving problem-solving and creativity skills to solve physics assignments. The survey included eight topics related to homework, exchange, problem-solving tactics, and an emphasis on real-life applications of physics concepts. The results showed that the majority of students preferred essay-style calculus homework and sometimes exchanged and discussed ideas with their peers. In addition, most students focused on only some of the steps involved in solving physics problems, self-analyzed and expanded their solutions, and related the exercise content to real-life situations. The study also found that students preferred physics exercises with clear facts and suggestive questions, while a quarter of students preferred exercises with specific facts and clear questions. Furthermore, only a small percentage of students had a deep understanding of the ten core competencies outlined in the General Education Program of 2018. These findings have important implications for physics teachers in Vietnam, indicating the need for more opportunities for discussion and encouraging a comprehensive problem-solving approach. The study suggests incorporating more real-life applications of physics concepts into teaching to help students see the relevance of what they are learning.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.628
Threshold uncertainty score0.302

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.079
GPT teacher head0.496
Teacher spread0.417 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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