In Flow with Task Repetition During Collaborative Oral and Writing Tasks
Bibliographic record
Abstract
The present study draws on Flow Theory to examine the relationship between task repetition and the quality of learners’ subjective experience during task execution. Flow is defined as a positive experiential state characterized by intense focus and involvement in meaningful and challenging, but doable tasks, which has been associated with enhanced self-confidence and task performance (Csikszentmihalyi, 2008). While research shows that certain task characteristics interact differentially with the quality of flow experiences, no research has specifically examined such interaction with task repetition. Participants (n=24) were randomly assigned to a Task Repetition or a Procedural Repetition group. All participants first completed a two-way decision-making gap task in both the oral and written modalities and either repeated the identical task or a comparable task one week later. Data were collected with a flow perception questionnaire, completed immediately following each task. Results show that repetition positively influenced learners’ flow experience, but that modality was an important mediating factor.
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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 | 0.003 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".