Creative Digital Arts Education: Exploring Art, Human Ecology, and New Media Education through the Lens of Human Rights
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 development of an innovative pedagogical model based on case study research about human rights education regarding discourses of power and food in relation to visual arts education and human ecology education will be examined. The authors outline two ongoing studies about “digiART” and Human Rights: New Media, Art, and Human Ecology Integrated Projects. These projects have been held at the University of Manitoba, Canada for pre-service teachers training to be secondary level educators: the research has been ongoing since 2013. As a result of the studies, meaningful curricula and innovative pedagogy have been developed using contemporary technologies. Key to the studies is not only the incorporation of creative teaching and learning about digital technologies at the higher education level but also integrating human rights issues into curricula. The authors’ approaches to teaching human rights issues to pre-service teachers are described in which they incorporate creative technologies to foster an innovative pedagogical model, and develop productive learning using digital technologies. Student’s new media practices from preproduction to postproduction are delineated and benefits from using this approach are discussed.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.001 | 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