Sustainable quality education is a big challenge even for the developed countries. In response to this, education 4.0 is gradually expanding as a new era of education. This work intends to unfold some hidden parameters that are affecting the quality education ecosystem (QEE). Academic loafing, unawareness, non-participation, dissatisfaction, and incomprehensibility are the main parameters under this study. A set of hypothesis and surveys are exhibited to study the behavior of these parameters on quality education at the institution level. The bidirectional weighted sum method is deployed for precise and accurate results regarding boundary value analysis of the survey. The association between parameters understudy and quality education is illustrated with correlation and scatter diagrams. Academic loafing, the hidden and unintended rudiment that affects the QEE is also defined, intended and explored in this work. The study exhibits that the average percentage association between quality education and all the parameters under study is 93.32%, whereas awareness has the least association (82.63%) and academic loafing has the highest association (99.35%) with quality education. The paper proposes a cognitive-IoT (internet of things) based multilayered QEE as a remedial solution for sustainable quality education. The emerging demand of real-time data processing for the education 4.0 environment, makes MQEE suitable for education 4.0 environment. The IoT enabled heterogeneous-data preprocessing, integration, and analysis to foster the proposed model with robustness, scalability, and flexibility. The proposed abstraction mechanism, public/private reporting, and IoT-based data preprocessing system are rich enough to handle data management issues under education 4.0 environment.

即使对发达国家来说，可持续的素质教育也是一个巨大的挑战。对此，教育4.0作为教育的新时代正在逐步拓展。这项工作旨在揭示一些影响素质教育生态系统 (QEE) 的隐藏参数。学术懈怠、不了解、不参与、不满和不理解是本研究的主要参数。展示了一组假设和调查，以研究这些参数在机构层面上的素质教育行为。使用双向加权求和法来获得关于调查边界值分析的精确和准确的结果。参数研究与素质教育之间的关联用相关性和散点图来说明。学术闲散，影响 QEE 的隐藏的和非预期的基本要素也在这项工作中得到了定义、预期和探索。研究表明，素质教育与所研究的所有参数之间的平均百分比关联为 93.32%，而意识与素质教育的关联最小（82.63%），而学术闲散与素质教育的关联最高（99.35%）。该论文提出了一种基于认知物联网（物联网）的多层 QEE，作为可持续素质教育的补救解决方案。教育4.0环境对实时数据处理的新兴需求，使得MQEE适用于教育4.0环境。物联网支持异构数据预处理、集成和分析，以培养具有稳健性、可扩展性和灵活性的拟议模型。提议的抽象机制，