Are Science Comics a Good Medium for Science Communication? The Case for Public Learning of Nanotechnology
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
Comic books possessing the features of humour, narrative, and visual representation are deemed as a potential medium for science communication; however, empirical studies exploring the effects of comics are scarce. The purposes of this study were to examine and compare the impacts of a comic book and a text booklet on conveying the concepts of nanotechnology and to investigate public perceptions of using comics as a tool for science communication. A mixed-methods quasi-experimental design was used to explore these central issues. Three instruments were adopted to assess public knowledge of nanotechnology, public attitudes towards nanotechnology, and public emotional perceptions of learning science. Furthermore, 7 short-answer questions accompanying the posttest as well as interviews were administered to enrich the instrument results. The proportional stratified sampling method was used to recruit more than 300 adults as a pool of participants. Finally, the responses of 194 participants who completed the instruments were analysed. The results indicated that the comic book significantly promoted laypeople's knowledge of and attitudes towards nanotechnology as did the text booklet. It is noted that the comic book increased the participants' interest in and enjoyment of learning, while the text booklet decreased their interest and enjoyment. More comic readers were interested in learning nanotechnology via comics than text readers were interested in learning via text. Although there was no significant difference between the 2 media in the aspects of knowledge and attitude, the results of emotional perceptions imply that science comics have the potential to develop laypeople's ongoing interest and enjoyment for learning science by reading comics.
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.009 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 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