Bibliographic record
Abstract
The purpose of this qualitative study was to get a better understanding of faculty members' views on the future of higher education by their first-time online teaching experiences during the Fall 2021 academic semester, which was impacted by the COVID-19 pandemic. Due to the outbreak's rapid and widespread dissemination, it created a unique phenomenon that had a significant impact on faculty members who had no prior experience teaching courses entirely online. In order to conduct this qualitative research, purposive sampling was used to choose ten faculty members from a variety of disciplines who had at least ten years of experience teaching in a traditional classroom setting at a public university in Izmir, Turkey. Faculty members were asked about the future of higher education in the aftermath of the COVID-19 pandemic. Apart from that, each faculty member was asked to discuss how the mandatory shift to online education altered their teaching style and how institutional help impacted their experiences throughout the pandemic. As a consequence of their observations and statements of their perspectives on events they witnessed and personally experienced, the key issue of "transformation of higher education with hybrid perspective" developed as a central theme. The data analysis revealed the following subthemes: "educators on the internet," "sustain and evolve," and "university support". These findings may be applied in a variety of contexts, including educational leadership and the design of hybrid and online courses, among other applications in higher education.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".