The Development of Electronic Book with QR Code Technology and Interactive Exhibition Entitled “Media Literacy” for Undergraduate Students
Bibliographic record
Abstract
This research was aimed 1) to survey the needs, 2) to develop electronic book with QR code technology and interactive exhibition entitled “Media Literacy” for undergraduate students, 3) to examine the quality, 4) to examine the learning achievement and 5) to examine the satisfaction. The tools in this study consisted of needs survey form, electronic book with QR code technology and interactive exhibition entitled “Media Literacy” for undergraduate students, quality evaluation forms for contents and media presentation, learning achievement test, and satisfaction questionnaire. The sampling group in this study consisted of 40 third-year undergraduate students who enrolled in the ETM 314 Professional Experiences in Educational Technology and Mass Communication, Department of Educational Communications and Technology, Faculty of Industrial Education and Technology, King Mongkut’s University of Technology Thonburi in the first semester of the academic year 2019. They were chosen using purposive sampling method. There were 9 experts in contents, media presentation as well as measurement and evaluation. The statistical methods were percentage, mean score, standard deviation and t-test. The research findings showed that the sampling group expressed the highest level of needs ( = 4.68, S.D.= 0.47). The quality evaluation results showed that the quality of the contents was at a very good level ( = 4.73, S.D. = 0.42) and the quality of the media presentation was at a good level ( = 4.42, S.D. = 0.40). The learning achievement test results showed that their average post-test score was higher than their average pre-test score with statistical significance at the .05 level (t-test = 7.23). The sampling group expressed the highest level of satisfaction towards the media ( = 4.68, S.D. = 0.49). Therefore, the developed media could be distributed for further use.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".