Shifting Patterns in Educational Philosophy and Policies During and After the Pandemic: How COVID-19 Changed the Game in Education
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
The COVID-19 pandemic has changed the world in numerous ways, but one of the most impactful changes took place in education. The sudden shift from face-to-face learning to e-learning caught many institutions and instructors off guard and unprepared. It required not only adjustments to their educational practices but also to the policies and the educational philosophy employed during the crisis. This paper explores the changes in philosophy and policy that have specifically impacted higher education. The methodology used in this study was a scoping literature review using the Arksey and O’Malley’s scoping review framework. Seventeenth articles were reviewed, and the results demonstrate the pandemic’s dismal impact on students and how educators are making essential shifts in philosophical paradigms to incorporate new policies designed for flexible learning strategies. The results also identified major philosophy shifts toward blended learning models that are flexible, collaborative, and inclusive. Additionally, policy shifts include the need to address digital transformation and educational inequalities, particularly for students in rural and low-income communities. Finally, instructors must also be adequately trained in the most effective technologies and philosophical mindsets that can address the rapid changes unfolding in the post-pandemic world.
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 | 0.005 |
| 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) | 0.000 | 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