Overcoming barriers and improving outcomes: teachers' perspectives on using narrative videogames to teach literacy/English
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
Abstract Research strongly supports the use of narrative videogames in the literacy/English classroom. However, for many teachers, incorporating videogames into their teaching practice is highly challenging. This article offers new insights into the potential of videogames as a pedagogical tool for literacy/English by exploring the barriers that teachers face when teaching with videogames, identifying how these barriers might be overcome and assessing whether the benefits of narrative videogames outweigh the practical difficulties of using them in the classroom. This participatory multiple‐case study explores the experiences of six teachers, working in a range of contexts, who each undertook an action research project to assess the barriers to and benefits of teaching literacy/English with narrative videogames. The findings show that although the participants faced barriers related to practical considerations, game choice, pedagogical knowledge and negative attitudes, almost all barriers could be overcome, and the benefits of learning far outweighed the difficulties faced. This article offers a new model for how to overcome barriers to using videogames to teach literacy/English and makes recommendations for both educational practice and the games industry.
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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 | 0.001 |
| 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 | 0.003 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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