A first introduction to data science education in secondary schools: Teaching and learning about data exploration with CODAP using survey data

Abstract

In this paper, we will describe an introduction to Data Science for secondary school students. We will report on the design and implementation of an introductory unit on “Data and data detectives with CODAP” in which secondary school students used the online tool CODAP to explore real and meaningful survey data on leisure time activities and media use (so‐called JIM‐PB data) in a statistical project setting as a starting point for data science. The JIM‐PB data set served as a valuable data set that offered meaningful and exciting opportunities for data exploration for secondary school students, and CODAP proved to be a valuable tool for the first explorations of this data.

Using PharmaPy with Jupyter Notebook to teach digital design in pharmaceutical manufacturing

“…Subsequently, the dissemination of these materials to the public provided a unique opportunity to modernize a course in pharmaceutical modeling at Purdue that successfully encouraged many students to consider using software tools in future work. Jupyter Notebooks were already known to succeed in the engineering education community [ 4 - 6 , 10 , 13 , 17 , 20 , 24 , 26 , 28 ], and this education application with PharmaPy follows that trend. Also, the idea of embedding software tools within each other in a Pythonic way was taught throughout the course.…”

“…For this reason, computational notebooks in digital education have been widely adopted throughout the data science and machine learning community. Examples of Jupyter Notebook are evident in Germany [4,13,17], Pakistan [20], and Portugal [6] for data science and engineering education with and without the use of graphical user interfaces. The book "Jupyter for Data Science" [28] provides interactive Jupyter Notebook examples alongside readings and technical material.…”

“…Fortunately, given that PharmaPy is written in Python, it can readily be combined with the interactive teaching environment through Jupyter Notebook to provide the basis for teaching pharmaceutical manufacturing to both undergraduate and graduate students by exploring design, parameter estimation, and optimization of pharmaceutical processes. The accessibility of Python as a programming language and the format of the Jupyter Notebook, which may contain code, mathematics, figures, and interactive graphics in a coherent manner, provide an excellent framework for tutorials and self-led training modules [ 4 - 6 , 10 , 13 , 17 , 20 , 24 , 26 , 28 ]. In this work, initial feedback on the tools used and learning format indicate that PharmaPy simulations within a Jupyter Notebook present a promising, open-source framework to teach digital design in pharmaceutical manufacturing.…”

What goes before the CART? Introducing classification trees with Arbor and CODAP

“…Numerous researchers and developers are exploring how we can use CODAP with students from middle school to the university to help them explore data in a variety of disciplines. See, for example, [4][5][6][7][8][9].…”

Educação Estatística na Escola Básica: introduzindo software CODAP na análise descritiva e árvore de decisão

“…Alguns trabalhos , (BONANGELO; CORDANI, 2022) (ENGEL, 2018), (BUDDE et al, 2020), (FRISCHEMEIER et al, 2021), FLEISCHER, 2021) enfatizam o uso das tecnologias para facilitação em algumas etapas da análise de dados, o estudo de simulações ou o estudo de tópicos de Inteligência Artificial com base na Estatística. Tais trabalhos são importantes, dado que educadores exploram conceitos tecnológicos para melhorar práticas de ensino e o aprendizado dos alunos.…”