Context-Aware Mobile Role Playing Game for Learning--A Case of Canada and Taiwan.
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 research presented in this paper is part of a 5-year renewable national research program in Canada, namely the NSERC/iCORE/Xerox/Markin research chair program that aims to explore possibilities of adaptive mobile learning and to provide learners with a learning environment which facilitates personalized learning at any time and any place. One of the sub-projects of this 5-year national research program is to design and develop context- aware mobile learning services. The research team of the sub-project applied narrative theory to design a location based Context-Aware Mobile Role Playing Game (CAM-RPG) in order to give students feeling of living in the game world and role playing, exploring the game world, completing the quests, and learning things. A pilot study was then conducted to see how the two game features - context-awareness and story generation - influence students' attitude towards the use of the mobile educational game. The research findings suggest that the story generated in CAM-RPG positively influences users' attitude towards game use and increases users' perceived game usefulness. With the research findings, other components and outcomes of sub-projects, such as natural language processing, location-awareness, multiple input forms, social networking, and student modeling, can then be put together as one piece to provide students effective and efficient mobile learning experiences.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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