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Comparison of actual and predicted SDG 5 scores.

Domaine:

educationsocioeconomic

Type de record:

papermodel
Créateur:
GhaAlaRad
Hôte:avatar

Sustainable development goal (SDG) 5 focuses on gender equality and empowerment and it is considered as one of the most important SDGs. Therefore, this article presented a time series prediction model that predicts gender-related educational results in the US, Saudi Arabia, China, Egypt, and Sweden. By analyzing gender-disaggregated demographic, socioeconomic, and educational data, the 1 DCNN can reveal temporal patterns and discrepancies. The main reason for selecting 1D-CNN as a deep learning model is its ability to model sequential data and detect minor changes. Through implementing the 1 DCNN with verified historical data, realistic progress trajectories have been predicted, which are suited to the particular circumstances of each country. The results obtained from the proposed model show that the model can produce important predictions in a range of gender-focused educational measures. In addition, it provides useful information that helps organizations develop, educators, politicians, and gender activists. In Conclusion, the results presented in this paper improve evidence-based planning and focused interventions, which hasten the advancement of gender equity in education and other fields.

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figshare.com

Tags

BiotechnologyScience PolicyBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedreveal temporal patternsrealistic progress trajectoriesprovides useful informationpaper improve evidencehelps organizations developdetect minor changes+22

Licenses

CC BY 4.0

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