Developing Aesthetic Education Programme for Adults in Realization of Sustainable Development Goal Eleven (11) in Rivers State
Bibliographic record
Abstract
The rise in population explosion characterized by influx of activities of multinational oil companies in Rivers State has called for the need to make cities and human settlements inclusive, safe, resilient and sustainable (SDG 11). This study therefore aimed at developing aesthetic education programme for adults in realization of sustainable development goal 11 in Rivers State, Nigeria. The study was guided by four objectives. The research and development design was adopted for the study. The population of the study was 2,022 respondents made up of 170 facilitators and 1,653 learners from the three senatorial districts in the state. The proportionate stratified random sampling technique was used to select 30% of the population as the sample size. Instrument for data collection was the researchers’ structured questionnaire which was face validated by three experts. Data collected were subjected to descriptive and inferential analysis in the statistical package for social sciences (SPSS) software version 21. Findings revealed that transmitting knowledge for disaster management and development of perceptual sensitivity on aesthetic experiences were some of the objectives of aesthetic education programme. The study further revealed disaster management and cultural norms and values as some of its contents. Brainstorming and observation were some of the delivery systems, while discussion and the use of video clips among others were evaluation strategies. Recommendations and implications were further provided.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".