Elementary students’ affective variables in a networked learning environment supported by a blog: a case study / Variables affectives des élèves du primaire dans un contexte d'apprentissage en réseau soutenu par un blogue: une étude de cas
Bibliographic record
Abstract
This study documents to what extent writing on a blog in a blended learning environment could influence the affective variables of elementary-school students’ writing. We grounded our framework more specifically in Deci and Ryan’s theory of self-determination. Our research team used both pre and post-tests and we conducted the analysis on the basis of inferential and correlational statistics using SPSS 17®. Results indicate an increase in motivation to write in pupils who used the blog, whereas the number of comments made per post did not seem to have any definitive impact on this subject. Cette étude documente dans quelle mesure l'écriture de blogues dans un contexte d'apprentissage en réseau peut influencer les variables affectives de l'écriture chez les élèves du primaire. Le cadre d’analyse est fondé plus spécifiquement sur la théorie de l'autodétermination (Deci & Ryan, 1985), sur le rapport à l'écriture (Chartrand et Prince, 2009) et sur la théorie transactionnelle de Rosenblatt (1991). L’équipe de recherche a conduit des tests avant et après l’exercice d’écriture afin de mesurer les variables affectives. L’analyse est basée sur des statistiques déductives et corrélationnelles, traitées avec SPSS 17®. L’analyse qualitative est également utilisée pour identifier les intentions d’écriture et les thèmes des messages affichés sur le blogue. Les résultats indiquent une augmentation de la motivation d'écrire chez les élèves ayant utilisé le blogue, tandis que le nombre de commentaires formulés par message ne semble pas avoir eu d’effet décisif.
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How this classification was reachedexpand
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 | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.005 |
| 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 teacher head, 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".