The "Mindset Evolution" of Television Production Specialists in Distance Education
Bibliographic record
Abstract
The purpose of this study is to examine the process by which, during the development of distance education television programs, technical specialists move from focusing solely on technical aspects of the production to include in their considerations an appreciation for content. The sample consists of 12 full-time television production specialists from American universities. All participants had at least one year's experience producing live, interactive, video-based educational programs at their respective institutions. None, however, had previous experience with distance education, nor did any have a background in education. Qualitative methods, including semi-structured interviews, observation, and concept maps, were used to collect data during the study. Findings from this study show that television production specialists undergo a change of over time as they design and develop more distance education programming. They come to view themselves more as distance education producers. This mindset change occured as they altered their criteria for judging the quality of their work and as they became aware of the primacy of content over form, the needs of the audience, and the relationship between the instructor and students. Cette etude se penche sur le processus selon lequel les techniciens specialises debordent de leur role purement technique de production de programmes televises d'education a distance pour s'interesser au contenu des programmes. Douze techniciens de universites americaines ont ete etudies. Tous les participants occupaient un emploi a plein temps et avaient au moins une annee d'experience dans la production de programmes pedagogiques interactifs, diffuses en direct. Les participants n'avaient, par contre, ni experience en education a distance, ni formation pedagogique. Les donnees ont ete recueillies a l'aide de methodes qualitatives, telles que des entrevues semi-dirigees, des sessions d'observation et des schemas conceptuels. Les resultats obtenus demontrent que, plus les specialistes de productions televisees concoivent et realisent des programmes d'education a distance, plus leur attitude mentale change, de sorte qu'ils en viennent a se considerer comme des realisateurs dans ce domaine. Ce changement d'attitude se produit a mesure que les specialistes modifient la facon dont ils evaluent la qualite de leur travail, lorsqu'ils commencent a prendre conscience de l'importance du contenu d'un programme plutot que de sa forme, ainsi que des besoins du public et du rapport entre l'instructeur et ses etudiants.
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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 | 0.005 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".