The Lecture as Experiential Education
Bibliographic record
Abstract
This article uses an unconventional format to problematize a common dichotomy found in the theory and practice of experiential education. The article comprises the contributions of five authors and begins with one author’s description of a potential real-life scenario that provokes the question of whether an art history lecture might be understood as experiential education. Three of the remaining coauthors respond individually and independently to this question, and the final author joins with the first in the concluding comments section. The key consensus of the responding coauthors is that simplistically equating the Deweyan notion of primary experience with physical, tactile activity is a limited and limiting understanding of experience in education and that in fact, under the correct circumstances, a lecture can and even should be part of experiential education. Beyond this, the authors encourage educators to think carefully about the educational trajectory and contextual histories of the learners with whom they work. Finally, the two authors of the concluding comments suggest that the field, to do justice to the educational possibilities of all experiences, must begin to move beyond John Dewey while finding ways to overcome the deeply entrenched dualistic concept of experience that continues to affect our practices and theorizing.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.015 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".