Mentoring and professional identity formation for teaching stream faculty
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
Purpose Peer-to-peer (P2P) mentorship has been identified as an important component of professional identity formation in higher education (HE). This may be especially true for education-focused or teaching stream (TS) faculty to thrive in times of changing organizational structures and work environments. The purpose of this paper is to present a critical reflection on the experiences in a faculty P2P mentoring for teaching program and considers the ways in which such programs can influence professional identity formation among TS academics. Design/methodology/approach In this paper, a matched faculty mentorship pair from Nursing and Chemistry disciplines uses critical reflection as a process of inquiry to interpret their experiences of building and sustaining an effective mentoring relationship as part of the P2P program, and to consider implications for professional identity formation and the Scholarship of Teaching and Learning. Findings Through the P2P program, the authors discovered that establishment of clear goals, a commitment to teaching and mentoring processes, and a mutual desire to build a relationship based on authenticity and reciprocity resulted in positive short- and long-term impacts on instructional practices. Professional identity was strengthened through intentional engagement and the opportunity to connect with like-minded peers, contributing to a renewed sense of confidence and commitment. Originality/value Interest in examining professional identity formation in HE has been growing over the past decade. This paper is novel in the critical reflection on a structured peer mentorship initiative through the lens of professional identity formation, with implications for planning and executing mentoring programs for TS faculty.
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 | 0.003 | 0.001 |
| 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 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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