Mind Maps to Modify Lack of Attention among Saudi Kindergarten Children
Why this work is in the frame
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Bibliographic record
Abstract
<p class="apa">This research study aims at investigating the impact of Mind Maps on modifying the lack of attention in Arabic language class among Saudi Kindergarten children. To achieve the goals of this study the researcher used an experimental design with a random sample from AlRae’d Kindergarten’s children in Riyadh -Saudi Arabia for the academic year (2014-2015). The study sample consisted of (40) children divided into two groups: (23) in the experimental and (17) in the control group. The researcher used Al-Obeidi’s (1999) Lack of Attention Scale LAS. Validity of the tool was approved through a half division to measure lack of attention (0.93) which is considered good. The scale was used before and after the implementation of the experiment on both groups. Results showed a positive change in attention concentration in favor of the experimental group. Thus, the researcher recommended the use of Mind Maps in teaching kindergarten children to avoid attention deficiency.</p>
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it