Subject: Statistics
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Using Field-Relevant Digital Tools for Coursework and Projects
Maria Tackett, a professor of statistical science, uses a combination of RStudio, Quatro, and GitHub to achieve this for her Statistics 210: Regression Analysis students. GitHub allows students to collaborate and have version control over their work, and finish the class with a portfolio piece relevant to the broader statistics field. This shows students the…
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Using LMS Platforms and Discipline-Specific Digital Tools that Have Peer Assessment Features
Maria Tackett, a professor of statistical science, employs peer assessment as a part of her overall statistics course structure the utilizes a self-created website and a GitHub repo. As a part of students’ main team project, they review other team’s projects and leave feedback directly within GitHub. Dr. Tackett uses GitHub and RStudio so that…
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Digital Workspaces that Allow Students and Professors to Build Social Connections While Learning
HollyAnne Lee, a professor of Mathematics and Statistics Education, and Professor Edray Goins use Slack and Discord workspaces to communicate with students. The ability to create separate channels for things like announcements and assignment reminders, alongside social connection channels like sharing life updates or photos of pets, creates a community that can help students better…
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Collecting Real-Time Data Through Digital Assessments
Maria Tackett, a professor of statistical science, has students submit their homework through Gradescope, a grading and assessment tool. Gradescope offers professors robust data on students’ performance on assignments, allowing instructors to identify areas where further instruction and clarification are needed for the class as a whole as well as individual students.
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Assessing Interests and Experiences with Digital Survey Tools
Maria Tackett, a professor of statistical science, uses digital surveys in Qualtrics at the beginning of her statistics course to assess student experience and interests. These survey responses inform both course subject matter, for example types of data sets they might look at, as well as how Dr. Tackett groups students into project groups based on…