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tandfonline.com – Comparison of Beginning R Students’ Perceptions of Peer-Made Plots Created in Two Plotting Systems: A Randomized Experiment

tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: Abstract Formulae display:?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. Abstract We performed an empirical study of the perceived quality of scientific graphics produced by beginning R users in two plotting systems: the base graphics package (“base R”) and the ggplot2 add-on package. In our experiment, students taking a data science course on the Coursera platform were randomized to complete identical plotting exercises using either base R or ggplot2. This exercise involved creating two plots: one bivariate scatterplot and one plot of a multivariate relationship that necessitated using color… Continue Reading

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tandfonline.com – Undergraduate Learning Outcomes for Achieving Data Acumen

tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: Abstract Abstract It is imperative to foster data acumen in our university student population in order to respond to an increased attention to statistics in society and in the workforce, as well as to contribute to improved career preparation for students. This article discusses 13 learning outcomes that represent achievement of undergraduate data acumen for university level students across different disciplines. Link til kilde

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tandfonline.com – Web Scraping in the Statistics and Data Science Curriculum: Challenges and Opportunities

tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: Abstract Abstract Best practices in statistics and data science courses include the use of real and relevant data as well as teaching the entire data science cycle starting with importing data. A rich source of real and current data is the web, where data are often presented and stored in a structure that needs some wrangling and transforming before they can be ready for analysis. The web is a resource students naturally turn to for finding data for data analysis projects, but without formal instruction on how to get that data into a structured format, they often resort to copy-pasting or manual entry into a spreadsheet, which are both time consuming and error-prone. Teaching web scraping provides an opportunity to… Continue Reading

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tandfonline.com – “Playing the Whole Game”: A Data Collection and Analysis Exercise With Google Calendar

tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: Abstract Abstract We provide a computational exercise suitable for early introduction in an undergraduate statistics or data science course that allows students to “play the whole game” of data science: performing both data collection and data analysis. While many teaching resources exist for data analysis, such resources are not as abundant for data collection given the inherent difficulty of the task. Our proposed exercise centers around student use of Google Calendar to collect data with the goal of answering the question “How do I spend my time?” On the one hand, the exercise involves answering a question with near universal appeal, but on the other hand, the data collection mechanism is not beyond the reach of a typical undergraduate student.… Continue Reading

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tandfonline.com – Teaching Statistical Concepts and Modern Data Analysis with a Computing-Integrated Learning Environment

tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: Abstract Abstract Revisiting the seminal 2010 Nolan and Temple Lang paper 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 ISLE, a web-based e-learning platform and lesson authoring framework for teaching statistics. Built on top of computing and peer-to-peer technology,… Continue Reading

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tandfonline.com – Designing Data Science Workshops for Data-Intensive Environmental Science Research

tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: Abstract Abstract Over the last 20 years, statistics preparation has become vital for a broad range of scientific fields, and statistics coursework has been readily incorporated into undergraduate and graduate programs. However, a gap remains between the computational skills taught in statistics service courses and those required for the use of statistics in scientific research. Ten years after the publication of “Computing in the Statistics Curriculum,” the nature of statistics continues to change, and computing skills are more necessary than ever for modern scientific researchers. In this paper, we describe research on the design and implementation of a suite of data science workshops for environmental science graduate students, providing students with the skills necessary to retrieve, view, wrangle, visualize, and… Continue Reading

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tandfonline.com – Implementing version control with Git and GitHub as a learning objective in statistics and data science courses

tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: Abstract Formulae display:?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. Abstract A version control system records changes to a file or set of files over time so that changes can be tracked and specific versions of a file can be recalled later. As such, it is an essential element of a reproducible workflow that deserves due consideration among the learning objectives of statistics courses. This paper describes experiences and implementation decisions of four contributing faculty who are teaching different courses at a variety of institutions. Each of these faculty… Continue Reading

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tandfonline.com – The Data Mine: Enabling Data Science Across the Curriculum

tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: Abstract Abstract In this article, we describe a large-scale living learning community for undergraduate students of any major or background. Our students are united by a desire to learn data science skills and to apply those skills in a specific academic discipline or a corporate partner project. We provide explanations of why a living learning community is beneficial; the curriculum (motivated by Nolan and Temple Lang (2010)); resources required to coordinate such a community; lessons learned from the first year at a large scale; plans for an assessment and a shared resource repository; and plans for an even more accessible, differentiated learning environment in the future. Link til kilde

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tandfonline.com – Teaching Creative and Practical Data Science at Scale

tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: Abstract Abstract Nolan and Temple Lang’s Computing in the Statistics Curricula (2010) advocated for a shift in statistical education to broadly include computing. In the time since, individuals with training in both computing and statistics have become increasingly employable in the burgeoning data science field. In response, universities have developed new courses and programs to meet the growing demand for data science education. To address this demand we created Data Science in Practice, a large-enrollment undergraduate course. Here, we present our goals for teaching this course, including: (1) conceptualizing data science as creative problem solving, with a focus on project-based learning, (2) prioritizing practical application, teaching and using standardized tools and best practices, and (3) scaling education through coursework that… Continue Reading

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tandfonline.com – What is happening on Twitter? A framework for student research projects with tweets

tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: 1 Abstract Formulae display:?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. 1 Abstract We draw on our experiences with mentoring two students to develop a framework for undergraduate research projects with Twitter data. Leveraging backward design principles, we share our learning objectives and rubric for summative assessments. To illustrate the value of Twitter as a data source, we detail methods for collecting and analyzing tweets. We conclude by emphasizing how Twitter text analysis projects enable students to formulate original research questions, collect and analyze data, and communicate findings and… Continue Reading