In Search of Ways to Improve Practicum Learning: Self-Study of the Teacher Educator/Researcher as Responsive Listener
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
Teacher education programs that appear to be more successful work to thread practicum experiences and on-campus courses with an eye to achieving overall program coherence. As part of a funded research project centred on understanding how teacher candidates perceive quality in their practicum experiences and, by extension, in their professional learning, focus groups were recruited for a series of discussions that extended over an academic year. I undertook this self-study in an attempt to examine the conditions for learning that made these focus groups so successful by virtue of participants’ commitment, engagement, focus and drive to become the best teachers they could possibly be. Self-study was an avenue for me to develop insights into my practice and to identify ways to move forward to become a more effective teacher educator who could model and scaffold responsive listening and relationship-building for future teachers. The two questions driving this self-study were “How does adopting and promoting a listening perspective improve participants learning?” And “What is transformative about responsive listening?” Identifying and challenging my assumptions were initial steps in understanding what a listening perspective entails, the importance of authorizing student perspectives and developing their pedagogical voices. Responsive listening became a means to interrogate my practice, to reframe my experience, to work in and from action, and to become more comfortable with the uncertain spaces where deep learning can occur – for myself and for those whom I teach. In so doing, I came closer to appreciating the possibilities for transformation.
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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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