The Effects of Learners’ Contribution to Tasks on Achievement of Pedagogic Objectives of Fluency, Complexity, and Accuracy
Bibliographic record
Abstract
This study investigates the impact of manipulating the cognitive complexity of tasks on language learners’ perception of task difficulty in terms of overall task difficulty, perceived ability to perform the task, stress, motivation, and interest. The present study also examines the effect of such affective variables on complexity, accuracy, and fluency of learners’ task performance. Some 65 Iranian students studying English as a foreign language at the intermediate level participated in this research. The obtained results revealed that task complexity does affect task performance. Furthermore, task designer’s interpretation of task complexity and learners’ perception of task difficulty converge. Additionally, task takers’ ratings of tasks are related to the complexity and fluency but not accuracy of the performance. Key words: Task complexity; Task difficulty; Structural complexity; Lexical complexity; Accuracy; Fluency Resume: Cette etude examine l'impact de la manipulation de la complexite des tâches cognitives sur la perception des apprenants de langues de difficulte de la tâche en termes de difficulte de la tâche globale, percue capacite 1 a accomplir la tâche, le stress, la motivation et l'interet. La presente etude examine egalement l'effet de ces variables affectives sur la complexite, la precision et la fluidite de l'execution de la tâche des apprenants. Quelque 65 etudiants iraniens etudient l'anglais comme langue etrangere au niveau intermediaire ont participe a cette recherche. Les resultats obtenus ont revele que la complexite des tâches ne touchent l'execution des tâches. Par ailleurs, l'interpretation creatrice des tâches de complexite de la tâche et la perception des apprenants de la difficulte de la tâche convergent. En outre, les notes des preneurs de tâche »des tâches liees a la precision de la complexite et la fluidite, mais pas de la performance. Mots cles: Complexite de la tâche; Difficulte d'une tâche; Complexite structurelle, Complexite lexicale; Precision; Maitrise
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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 | 0.014 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 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".