An Investigation of the Effectiveness of 5th Grade Guided Inquiry-Based Activities in Terms of Skills and Perception
Bibliographic record
Abstract
We investigated the effects of guided inquiry-based laboratory activities on the perceptions of the research skills and inquiry learning skills in science of 5th grade students. The sample of this study consisted of 38 students enrolled in a public secondary school located in the northwest part of Türkiye. This study is based on the non-equivalent control group pretest/posttest model of the quasi-experimental design. Data collection tools were a Research Skills Test, Scale of Inquiry Learning Skills Perception in Science, and a semi-structured interview form. We analyzed the quantitative data with the Mann-Whitney U test from nonparametric statistical methods and the qualitative data by using content analysis. We established a significant difference between the two groups’ research skills and perception about the inquiry-based learning skills of science, in favor of the experimental group. Keywords: inquiry skills, guided-inquiry laboratory, secondary school students. Nous avons étudié les effets des activités de laboratoire guidées basées sur l’enquête sur les perceptions des compétences de recherche et des compétences d'apprentissage par l’enquête en sciences des élèves de 5e année. Pour cette étude, l'échantillon était composé de 38 élèves inscrits dans une école secondaire publique située dans le nord-ouest de la Turquie. Cette étude est basée sur le modèle prétest/post-test de groupe de contrôle non-équivalent de la conception quasi-expérimentale. Les outils de collecte des données étaient un test de compétences de recherche, une échelle de perception des compétences d'apprentissage de l'enquête en sciences et un formulaire d'entrevue semi-structurée. Nous avons analysé les données quantitatives à l'aide du test U de Mann-Whitney à partir de méthodes statistiques non-paramétriques et les données qualitatives à l'aide de l'analyse de contenu. Nous avons établi une différence significative entre les compétences de recherche des deux groupes et leur perception des compétences d'apprentissage des sciences basées sur l’enquête, en faveur du groupe expérimental. Mots clés : compétences en matière d'enquête, laboratoire d'enquête guidée, élèves du secondaire.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".