The comparative study and design of a conceptual model of media literacy based on transformational documents of Iranian education
Bibliographic record
Abstract
Objective: This study aimed at designing a native-Islamic model of media literacy based on the evolutional documents of education in the formal and public education system of Iran in 1399 SH. Method: Using the library and documentary study method in qualitative research methods, a comparative study of the experiences of leading countries in the field of media literacy, and an analytical study of educational documents of education were conducted. The research population included documents and information on media literacy in the three leading countries of Canada, Japan, and Australia, as well as the educational evolution documents including the document of the theoretical foundations of fundamental change, the document of a fundamental change of education, and other supporting documents including documentation of space supply subsystems, equipment and technology, national curriculum, financial resources, research, guidance and management, and teacher training. This study used the purposive sampling method and to analyze the information, comparative study methods and inductive content analysis were used. Findings: The research findings indicate the conceptualization of media literacy in redefining all dimensions (principles, definition, characteristics, approach, and perspective). Accordingly, the model of media literacy was designed on the basis of the values and foundations of monotheistic worldview, with an emphasis on the position of the divine caliph, rationalism, responsibility, acquiring knowledge, limitation of cognition, emphasis on purified life (based on individual and collective growth), hierarchical nature of purified life, educational justice, emphasis on benefaction and forgiveness, emphasis on promoting the aesthetic dimension in all components. One of the most important features of this model is the approach and perspective of "Position recognition and improving position in the media space" and "continuous development and excellence of learners' media identity", which has not been considered in other models of media literacy. Conclusion: Therefore, by designing such a conceptual model, all media literacy processes in the country find a native-Islamic direction and get rid of fragmentation and confusion.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".