Supporting student agency with transmedia
Bibliographic record
Abstract
ABSTRACT Student agency is defined as a student's sense of self‐control over his or her educational experiences. It is a critical aspect of learning among adolescents. One way to promote student agency in the classroom is through the integration of texts and tools that allow students to become producers and consumers of content. Transmedia—the creation and sharing of narrative across media—is such a tool. This poster presentation illustrates how transmedia can be used to support student agency and engagement, drawing on a foundational case study of middle‐grade students who interacted with the project, Inanimate Alice , an interactive novel that follows the adventures of Alice, a globetrotting girl who wants to be a game designer when she grows up. Future directions of the project are demonstrated via a new iteration of Inanimate Alice , a virtual reality (VR) gap story called Perpetual Nomads . The audience may experience Perpetual Nomads with a VR headset and learn about its implications for fostering student agency based on beta testing of the story with middle‐grade students. The presenters also discuss an upcoming research initiative that will further test the impact of Perpetual Nomads on digital and technological literacies—an important avenue for fostering student agency.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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".