Bibliographic record
Abstract
environment could occur and it could become difficult to manage the time effectively reserved for the lessons due to the activities enforced simultaneously. Ortileb’s study explores the use of an anticipatory reading guide with third grade struggling readers across multiple subject areas. His findings indicate that the experimental treatment group outperformed the control group by a statistically significant rate on both reading and content area measures, indicating that when struggling readers practice and use strategies to explicitly think what will be asked of them after reading the passage they perform at higher levels. In their research, Al-Rawahiand Al-Yarabi investigated the relationship between physical education teachers’ attitudes toward participation in physical activities and their motives towards choosing physical education as a teaching profession and they found a significant relationship between the two. Another main subject of this issue was the use information and communication technologies (ICT) in education. Hue and Ab Jalil researched the attitudes and the usage of ICT in classrooms by university lecturers in Vietnam. They found that the ICT was not highly used by the lecturers however benefits incorporating ICT in teaching were recognized. Abu Ziden and Abdul Rahman also experimented the use of technology in their subject of Islamic studies and they found that the virtual simulation methods were profitable for student achievement. Dikshit, Garg and Panda explored the best practices comparatively between print, interactive multimedia, and online resources and concluded that the use of interactive multimedia CD-ROM was found pedagogically more effective with a variety of learning activities than the other utilized materials. The paper of Stevens was aimed to promote the use of internet for teachers to collaborate with their colleagues in the open learning spaces between sites that are academically and administratively linked. His paper outlines four ways in which pre- service Canadian teachers are encouraged to collaborate in preparation for teaching together across dispersed sites. A detailed look at the articles included in this issue will give you detailed information and all the studies in this issue are answers to some questions in minds. Use of ICT has been a major contributor to both teachers and students and problems faced and solutions found are important topics of our present day. I guess future studies will further focus on the use of ICT in educational purposes. Teacher education and improving qualifications of teachers is also a challenging topic of education faculties around the world and any research findings and suggestions are welcome. I hope all readers of this issue will find some useful information and the findings of the studies will have reflections. Sincerely, Prof. M. Bahaddin Acat Associate Editor Address: Eskişehir Osmangazi University, Faculty of Education, Eskişehir, Turkey Phone: +90 222 2393750 E-mail: mbacat@gmail.com
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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 | 0.009 |
| 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 | 0.005 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.373 | 0.258 |
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".