Bibliographic record
Abstract
In this number of the International Electronic Journal of Elementary Education, you'll find ten articles. They are addressing several important topics: STEM-education, teacherstudent relationship, PISA, professionalism in early childhood education, child-centered reading education, creative writing, Math education, the challenges for Math teachers, teaching English as a third language and factors related to reading comprehension.The first one is about the effects of an inquiry-based didactic method for preschool science in a real practical classroom setting. This is an impressing study on teaching science in early childhood in Belgian context. The article highlights the important aspects of STEMeducation based on problem-solving and inquiry based teaching and learning.The second article is about teacher-student relationship and how the students and their teachers reciprocally construe each others personality in teaching-learning context. The article has a comprehensive literature review and an empirical part. On the basis of their findings the two authors discuss how different categories of students' perspectives and their teachers' perspectives construct each others respectively 'ideal teacher profile' and 'ideal student profile'. Although this study is not the only one, it's one of the original studies on the topic.The third article is also addressing an international theme: PISA. Three researchers from Mugla Sitki Kocman University explore the relationship among new literacies, reading, mathematics and science performance of Turkish students in 2012. As most of you may accept, PISA-results started to have much and sometimes too much impact on educational debates in many As I once put it PISA has tendency to act as a shadow minister of education in many countries. To what extend this is true for Turkish education, is a matter of research, but this article is a good piece of scientific work.The fourth article is from Canada. Two researchers brilliantly formulated a tittle for their study of early childhood educators' narratives about 'professionalism'. The tittle of Babysitter or Professional most likely will show many researchers around the world that they are not alone in their efforts to improving the competencies of those who the parents deliver their child to. More and more children in many countries use to bring longer and longer of their childhood together with early childhood educators. This article adds a critical dimension to the debate on professionalism in the early childhood education/care.The fifth article explores an approach to a child-centered reading Intervention. Two researchers tried out an interesting practical intervention strategy to help a low achieving reader to improve his reading skills. The article is based on a single-subject case study, and it's very informative. The article presents 'hand-on' type of materials, steps and strategies and illustrates how a teachers can help a struggling 4th grader to improve his skills in reading and writing.The sixth article is about an experimental study on creative writing instruction program based on speaking activities. The researcher investigates the effect of a well-planned creative writing program on fourth-grade primary school students' creative writing achievements and writing attitudes. …
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 | 0.001 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.311 | 0.283 |
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".