Teaching Statistical Concepts and Modern Data Analysis With a Computing-Integrated Learning Environment

Revisiting the seminal 2010 Nolan and Temple Lang article on the role of computing in the statistics curricula, we discuss several trends that have emerged over the last ten years. The rise of data science has coincided with a broadening audience for learning statistics and using computational packa...

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Vydané v:Journal of statistics and data science education Ročník 29; číslo S1; s. S61 - S73
Hlavní autori: Burckhardt, Philipp, Nugent, Rebecca, Genovese, Christopher R.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Alexandria Taylor & Francis 2021
Taylor & Francis Ltd
Taylor & Francis Group
Predmet:
Algorithms
Classrooms
College Science
Communication Skills
Computing
Curricula
Curriculum Guides
Data analysis
Data science
E-learning
Educational Environment
Educational Facilities Improvement
Educational Technology
Electronic Learning
Group Activities
Influence of Technology
Instructional Materials
Integrated Activities
Integrated Curriculum
Integrated Statistics Learning Environment
Learning Activities
Mathematics Instruction
Open Source Technology
School environment
Science Curriculum
Science Education
Science Instruction
Statistical Data
Statistics curriculum
Statistics Education
ISSN:2693-9169, 2693-9169
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Popis
Shrnutí:Revisiting the seminal 2010 Nolan and Temple Lang article on the role of computing in the statistics curricula, we discuss several trends that have emerged over the last ten years. The rise of data science has coincided with a broadening audience for learning statistics and using computational packages and tools. It has also increased the need for communication skills. We argue that, for most of this audience, instruction should focus on foundational concepts and the early introduction of different types of data and modern methods through the use of interactive learning environments without programming prerequisites. We then describe Integrated Statistics Learning Environment (ISLE), a web-based e-learning platform and lesson authoring framework for teaching statistics. Built on top of computing and peer-to-peer technology, the platform allows collaborative data analysis and real-time interactions in the classroom. We describe how ISLE contributes to the three key Nolan and Temple Lang components: broadening the statistical computing curriculum, deepening computational reasoning and literacy, and expanding computing with data in the practice of statistics. We then present several advantages of using a computing-integrated environment such as ISLE, including promoting (cross-disciplinary) communication, supporting classroom-focused integrated development environments, and advancing the science of data science.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:2693-9169
2693-9169
DOI:10.1080/10691898.2020.1854637