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Introduce a Novel 'STEAMS' Methodology of Conducting Scientific Research

机译:介绍一种新的“蒸汽”进行科学研究方法

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This paper adopts STEAMS (Science, Technology, Engineering, Artificial Intelligence, Math, Statistics) methodology. The objectives of this paper are to introduce the benefits of integrating all 6 "STEAMS" elements, especially living in the Big Data World. Chocolate Science Research case study was demonstrated to present this novel "STEAMS" concept as compared to current "STEM" or" STEAM" approach. There are three core visions of this "STEAMS" methodology: (1) replace "Art" with "Artificial Intelligence", (2) separate "Statistics" from "Math", and (3) integrate all six "STEAMS" elements. Adding the "Artificial Intelligence" Black-Box element can trigger and enhance the effectiveness of "Scientific" Research and "Math" algorithms. Separating the "Statistics" element from "Math" can conduct more effective risk management and draw practical conclusions. "Engineering" DOE can optimize the "Artificial Intelligence" algorithm. The "STEAMS" approach can enhance the cross-linking and becoming a natural critical thinking way for most scientists and engineers striving in the modern Big Data era. It's critical and urgent for educators and teachers to migrate from their traditional STEM approach to the new "STEAMS" approach to educate our next generations in their early school learning and career development.
机译:本文采用蒸汽(科学,技术,工程,人工智能,数学,统计)方法。本文的目标是介绍整合所有6个“蒸汽”元素,特别是生活在大数据世界中的好处。巧克力科学研究案例研究表明,与当前的“茎”或“蒸汽”方法相比,这一新颖的“蒸汽”概念呈现。这种“蒸汽”方法有三个核心愿景:(1)用“人工智能”替换“艺术”,(2)从“数学”分开“统计”,(3)整合所有六个“蒸汽”元素。添加“人工智能”黑匣子元素可以触发并增强“科学”研究和“数学”算法的有效性。将“统计”元素从“数学”分开,可以进行更有效的风险管理并得出实际结论。 “工程”DOE可以优化“人工智能”算法。 “蒸汽”方法可以增强交联,成为现代大数据时代的大多数科学家和工程师的自然批判性思维方式。教育工作者和教师迁移到新的“蒸汽”方法中迁移到新的“蒸汽”方法是至关重要的,迫切地迁移到新的“蒸汽”方法中,在早期学校的学习和职业发展中教育我们的下一代。

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