İŞBİRLİKLİ ÖĞRENME YAKLAŞIMININ KELİMEDE ANLAM KONUSUNUN ÖĞRETİMİNDE ÖĞRENCİLERİN AKADEMİK BAŞARISINA ETKİSİ
Bibliographic record
Abstract
The aim of this research, the teaching of technical subjects in the Merge-II in the 5th grade word meaning the impact on the academic success of the students is to investigate comparing with the traditional method. Answers to questions prepared for this purpose are required. Research, pretest - posttest control group design was designed in an experimental model. Research, 2016-2017 academic year in the first quarter of Siirt Martyr Ismail ÇELİK Secondary School Teachers in two different branches of the 5th grade was carried out with the participation of 48 students. With a random assignment method 5 / branch of the experimental group, 5 / B branch is designated as the control group. Working as a means of data collection made by the Ministry of Education for grades 5 selected from PYB exam questions consisting of 22 multiple-choice items Meaning of Words Academic Achievement Test (KAABT) expert opinion is based. Merge all processes in the group-II teachers try to control the application of the technique is applied based traditional teaching was conducted by researchers of the group. Applications in the experimental and control groups was completed in 5 weeks. Researchers by the application prior to the experimental and control groups Meaning of Words Academic Achievement Test (KAABT) was applied as pre- and studies have been initiated. Applications and data obtained from the results were analyzed using SPSS for Windows 22.0 program.As a result, the Merge-In the experimental group, the implementation of the technique, there was no significant difference between pretest scores of the control group, the traditional teaching method, but groups in favor of the experimental group in the post-test achievement scores were observed significant differences. 5. Turkish word meaning issues of class teaching Merge II has reached the conclusion that the technique is more effective than traditional teaching methods.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.004 |
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".