Le tutorat à distance : qu'en pensent les étudiants, les tuteurs et les concepteurs ? Une étude de cas
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A partir d'entrevues et d'interactions réelles entre tuteur et étudiants dans un coursuniversitaire en e-learning, cette étude fait état des attentes d'un concepteur-tuteur à l'égard des étudiants dans les activités d'encadrement, et de la représentation que des étudiants se font de ces attentes.L'étude décrit ensuite la dynamique entre les acteurs de l'encadrement à partir d'un point de vue constructiviste.Elle démontre que les étudiants ont de grandes attentes à l'égard du tutorat, modelées au début sur l'offre de l'établissement.Cependant, l'offre est partielle : si les étudiants trouvent satisfaction sur le plan cognitif, ils doivent recourir à leur entourage pour répondre aux besoins qui émergent en cours d'apprentissage sur les plans affectif, motivationnel et social. ABSTRACT. From interviews and actual interactions between students et their tutor in an undergraduate course delivered by e-learning, this study bears on course author's and tutor's expectations about student's commitment in support activities and student's perceptions of this expected commitment.Then, the study proceeds to analyse the dynamics of relations between author, tutor and students from a constructivist perspective.Results show that students nourish high expectations concerning tutoring, which are initially modelled on what the institution offers.However, this offer is partial : students find satisfaction on the cognitive level, but must find people around them to fulfill social, affective and motivational expectations emerging during learning.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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