Mind and mood in harmony: synergizing cognitive efficiency and emotional engagement across different modalities of online learning resources
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
Online learning resources are crucial as they bridge physical distance between learners and instructors, making both cognitive efficiency and emotional engagement vital for effective learning. This study investigates how different modalities of online learning resources (words only, words & sounds, words & pictures, and videos) affect students’ cognitive load, learning emotions, and satisfaction. 107 first-year high school students were randomly assigned to the four multimedia modalities to learn how to conduct a chemistry experiment. The results revealed significant differences in cognitive load and learning performance across four modalities. The “words & pictures” group had the best learning performance, reported the lowest levels of mental load, invested the most mental effort, and experienced more positive emotions, whereas the “videos” group reported the highest levels of cognitive load, and the “words only” group experienced the most negative emotions. Learning emotions were positively correlated with performance, highlighting the importance of both cognitive and emotional factors in multimedia instructional design. These findings suggest that balancing cognitive load and eliciting positive emotions in online learning materials enhances effectiveness. Combining visuals with text and enhances information controllability, as in the “words & pictures” modality, proved to be the most beneficial approach.
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 | 0.001 |
| 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