The integration of print and digital content for providing learners with constructive feedback using smartphones
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 Timely feedback is considered essential for supporting professional growth and personal development. However, it is difficult to employ such feedback in traditional learning environments. Recently, smartphones are considered as educational tools for supporting instructional activities. Therefore, this study attempts to leverage the advantages of physical textbooks and mobile devices. A pedagogical strategy called constructive feedback was proposed to provide learners with real‐time and personalized suggestions according to the results of electronic assessment. Two types of connectivity techniques, namely QR C odes and hyperlinking, were applied for integrating printed materials and digital content. An experiment was conducted in a university course entitled C omputer N etworks, and a total of 80 students were recruited to participate in this experiment. The findings revealed that the strategy of constructive feedback had a significant influence on learning performance. However, no significant differences on learning performance were found between using QR C odes and using hyperlinking. Finally, implications of the findings were discussed for further research directions and practical applications.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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