DATA-DRIVEN ADAPTIVE LEARNING ENVIRONMENT FOR PROJECT-BASED CONSTRUCTION ENGINEERING
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
Serious computer games have led to a wide resurgence of game-based education and training systems. Intelligent serious games (ISG ) that foster measurable learning without compromising the engaging qualities of serious computer games are described. An ISG employs a novel, multiphase approach to adapt, on-the-fly, both the game content and the data analyses software based on observed student behaviours to improve the learning experience perceived by the students. An ISG called Virtual Bridge Constructor where a student makes decisions on behalf of a construction supervisor to build a single span bridge was developed and tested with the help of several high school and undergraduate engineering students. Analyses of the test data validate our central hypothesis that the performance data guided co-evolution of gaming software and data analyses in an ISG improves student performance and their perceived knowledge gain.
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 | 0.000 | 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