Preservice Teachers’ Views Regarding Out-of-Class Teaching Processes: A Case Study
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
Out-of-class learning environments are important learning environments because they improve students’ mental and physical health as well as providing them with cognitive, affective, and psychomotor skills. However, it is necessary to make a plan, implement and evaluate the teaching processes appropriately to efficient benefit from out-of-class teaching environments. The present study aimed to determine preservice teachers’ views regarding out-of-class teaching processes. The study utilized the case study design, a qualitative research approach, to make an in-depth analysis of preservice teachers’ views. 58 preservice teachers from the educational faculty of a state university in Turkey were the participants of the study. Data were collected using a semi-structured interview form developed by the researcher of the present study. For the analysis of data obtained, content analysis was carried out using NVivo9 software, and themes and codes were determined. Findings were presented with frequencies, percentages, excerpts of preservice teachers’ views, and models that indicate the relationship between themes and codes. Findings revealed six different themes for the preservice teachers’ views: out-of-class learning places; advantages of out-of-class teaching; limitations of out-of-class teaching; planning of out-of-class teaching; implementation of out-of-class teaching; and assessment of out-of-class teaching. The study findings were discussed in line with the related literature and suggestions were made regarding the findings.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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