Teaching for the Ambiguous, Creative, and Practical: Daring to be A/R/Tography
Bibliographic record
Abstract
This purpose of this inquiry is to explore how an a/r/tographic model of shared inquiry led to deeper insights about learner-centered pedagogy. Invited to teach and redesign a very large ‘Art & Society: Visual Arts’ course at a large university with a 21st century issues-based focus, together with my commitment as a constructivist, learner-centered teacher, the current phenomenological study was born. The phenomena studied was whether a large, lecture-style class taught from a more non-traditional, non-lecture, art-as-experience, learner-centered epistemology might affect students’ balanced thinking and perceptions about their learning. Students’ perceptions, along with the regulatory role of emotions, are critical factors in motivation and behavior; students’ self-beliefs about learning and their capabilities affect their behavior, resilience, and persistence in the face of challenge.Arts-based methods of inquiry with multiple forms of data, regarding both students’ and researcher’s lived experiences resulted in new artforms and informed praxis. After a student survey was determined the best way to poll perceptions about their learning in a more constructivist environment, the author’s Mixed Parallaxic Praxis method emerged from this study. Key findings indicated students’ increased openness to other perspectives and to cultural and creative experiences, increased engagement and a personal desire/thirst to create art, and a personal confidence to analyze art—despite their lack of former experience with artmaking or art instruction in high school. Qualitative and survey data informed how learner-centered practices enhance students’ self-beliefs about their abilities as creative learners, so important to overall motivation and capacity to learn overall.
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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 | 0.003 | 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 | 0.007 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".