Saini Munish, Sengupta Eshan, Singh Madanjit, Singh Harnoor, Singh Jaswinder
Department of Computer Engineering and Technology, Guru Nanak Dev University, Amritsar, India.
Department of Computer Science, Guru Nanak Dev University, Amritsar, India.
Educ Inf Technol (Dordr). 2023;28(2):2031-2069. doi: 10.1007/s10639-022-11265-4. Epub 2022 Aug 11.
Sustainable Development Goals (SDG) are at the forefront of government initiatives across the world. The SDGs are primarily concerned with promoting sustainable growth via ensuring wellbeing, economic growth, environmental legislation, and academic advancement. One of the most prominent goals of the SDG is to provide learners with high-quality education (SDG 4). This paper aims to look at the perspectives of the Sustainable Development Goals improvised to provide quality education. We also analyze the existing state of multiple initiatives implemented by the Indian government in the pathway to achieving objectives of quality education (SDG 4). Additionally, a case study is considered for understanding the association among the observed indicators of SDG4. For this purpose, exploratory data analysis, and numerical association rule mining in combination with QuantMiner genetic algorithm approaches have been applied. The outcomes reveal the presence of a significant degree of association among these parameters pointing out the fact that understanding the impact of one (or more) indicator on other related indicators is critical for achieving SDG 4 goals (or factors). These findings will assist governing bodies in taking preventive measures while modifying existing policies and ensuring the effective enactment of SDG 4 goals, which also will subsequently aid in the resolution of issues related to other SDGs.
可持续发展目标(SDG)处于世界各国政府倡议的前沿。可持续发展目标主要关注通过确保福祉、经济增长、环境立法和学术进步来促进可持续增长。可持续发展目标最突出的目标之一是为学习者提供高质量教育(SDG 4)。本文旨在探讨为提供优质教育而改进的可持续发展目标的观点。我们还分析了印度政府在实现优质教育目标(SDG 4)的道路上实施的多项举措的现状。此外,还考虑了一个案例研究,以了解SDG4观察指标之间的关联。为此,应用了探索性数据分析以及结合QuantMiner遗传算法的数值关联规则挖掘方法。结果揭示了这些参数之间存在显著程度的关联,指出了这样一个事实,即了解一个(或多个)指标对其他相关指标的影响对于实现SDG 4目标(或因素)至关重要。这些发现将有助于管理机构在修改现有政策时采取预防措施,并确保有效实施SDG 4目标,这随后也将有助于解决与其他可持续发展目标相关的问题。