Novice In-service Teacher Candidates in the case of Danish Upper Secondary Schools.:Excited, Exhausted, Self-efficient, and Compassion Fatigue.
Bibliographic record
Abstract
The research questions pursued in this article are: What do novice teachers perceive as their main classroom challenges and how do these challenges correspond to the formation of self-efficacy and the risks of 'compassion fatigue'? In Denmark, to become an upper secondary school teacher, you are required to poses a university master’s degree in at best two relevant disciplines, supplemented by a Diploma in education. To obtain the diploma, the novice teacher candidates must complete a postgraduate teacher education program, where they alternate between everyday teaching practice and follow respectively general pedagogical as well as subject specific pedagogical courses. Further, they are offered sparring, and guidance from a more experienced colleague including reciprocal teaching observation. It is not possible to start this the program, without a contract of employment as a permanent teacher tenure in an upper secondary school (Qvortrup and Rasmussen, 2022). Though novices often enter their first teacher position excited, enthusiastic and full of energy, being a novice teacher is recognized as a challenging affair (Farrell, 2016). Novice teachers’ struggle, and it is far from everyone who makes it from novice to experienced teacher. Teacher retention is recognized as a challenge and many new teachers are considering whether to stay in the profession or give up. In previous studies, the challenges are linked to the fact that novice teachers often from day one, and unlike in many other professions, face the same responsibilities as more experienced colleagues. For many novice teachers, the initial infatuation is replaced with exhaustion, sense of powerlessness and frustration. For some, this induces somewhat of a ‘shock’ (Corcoran, 1981) or results in attrition or even retention from the teacher profession (Amitai and Van Houtte, 2022). Farrell (2016) even suggests that only the most determined can survive their first years. A recent survey-study found teachers perceived self-efficacy in relation to their pedagogical practice to only correlate significantly to one factor: teaching experience (Cirocki, Ito, Soden and Noret, 2024). Besides the lack of teaching experience, another explanation for novices whose experiences of mastering teaching are absent or delayed and with no professional role models to lean in to, is to develop a lack of self-efficacy. But self-efficacy, does not indicate, which aspects novice teachers lack mastering experiences in relation to. Is it a question of pedagogical content knowledge, subject specific content knowledge, knowledge on students' learning processes, didactic methods, hybrids thereof or something completely different? Further several research on teacher candidates indicate, that novice teacher pay great attention to their students as individual persons (Rasmussen, Agergaard and Hansen, 2024) and empirical data in the current study indicates that it is relevant to introduce the concept ‘Compassion fatigue’, when it comes to describing the novice teachers’ emotional challenges when it comes to supporting students “who experience traumatic stress and suffering” (Asquith, 2022) or are in difficult life situations.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".