Intercultural dialogues in Covid-19: digital culture, innovation, and online pedagogy in higher education
Bibliographic record
Abstract
This paper explores how conversations about digital culture, innovation, and online pedagogy can inform practices accentuated during the pandemic. The Immediatism adopted by universities around the world due to the urgency of lockdowns is problematic in many ways. Firstly, the little time to switch to an online environment, advance online delivery, and ensure assessment is undeniable. Second, the extent to which universities were at different levels of digitally ready infrastructure and related staff and students' development, training, and readiness to learn and teach remotely is also challenging. However, research shows the important role of digital culture in pedagogical choices inside the classroom, as much as it considers how individual cope with technological innovation in their daily online practices. From a Freirean perspective, pedagogies reflective and transformative and online pedagogies can reconceptialize ecologies of learning for an inclusive pedagogy. This paper addresses the above by presenting data from interviews with instructors, administrative staff and students at three universities in Brzil, Canada, and the UK. This qualitative study uses intercultural concepts of pedagogical innovation, and how participants have adapted their practices in digital culture. We further explore the pedagogical implications of their attitudes towards online learning, the reconstruction of their self-awareness, and aim at corroborating future comprehension on how COVIUD-19 will impact higher education. This paper is timely in problematizing concepts that are important in understanding and dealing with digital culture, innovation, and online pedagogies in learning context post-COVID
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".