Becoming a tutor: exploring the learning experiences and needs of novice tutors in a PBL programme
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
The tutor plays an important role in facilitating learning in a problem-based learning (PBL) curriculum. This paper explored the ways that novice tutors were educated in a PBL programme at McMaster University. Thirteen novice tutors were interviewed in this qualitative, ethnographic study to identify their learning needs and culture at the entry phase of 'becoming a tutor'. Ten tutor guides were also interviewed to provide additional information and perspectives regarding the data generated by the novice tutors. Categories that emerged were: (1) benefiting from the experience, (2) managing the challenges, (3) transitioning to a new role, (4) uncovering learning opportunities, (5) maintaining vigilance, and (6) explicating the implicit. The overarching framework that wove the categories together was that of the theme of storytelling in the teaching-learning process. Implications for practice for tutor training are addressed considering the oral tradition.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 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 | 0.001 |
| 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 it