Impacting Academic Achievement with Student Learners Teaching Digital Storytelling to Others: The ATTTCSE Digital Video Project
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
University researchers, teacher candidates, language and technology instructors, student learners, and families from diverse backgrounds partnered in an invitational teaching/learning experience—middle school student learners teaching their VIPs (very important persons) how to create stories and construct digital movies with reference to their family history. Prior to a university-based workshop, 2 weeks of structured activities using the Model of Digital Storytelling (Figg, 2005) focused on rich language development, oral history, and moviemaking technology in a community-based summer enrichment program designed for underachieving student learners. Teacher candidates facilitated the workshop interaction between student learners and their VIPs. Data sources included interviews, exit surveys, reflective journals, research field notes, and student/parent-created artifacts. All participants were positively impacted through this digital storytelling process. Noted improvement of writing and technical skills, increased motivation due to VIP involvement, and greater awareness of future educational opportunities for student learners were among the key findings of this study.
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 | 0.001 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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