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Jule Scheper; Robin Leuppert; Daniel Possler; Anna Freytag; Sophie Bruns; Julia Niemann-Lenz – Journalism and Mass Communication Educator, 2025
Despite the increasing use of the statistical programming language R in statistics and data analysis (SDA), its implementation in communication science education is limited. Experiences, recommendations, and a critical exchange are therefore scarce. The following contribution addresses this very gap. At the Department of Journalism and…
Descriptors: Journalism Education, Programming Languages, Statistical Analysis, Data Analysis
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Joseph Chiarelli; Melissa A. St. Hilaire; Brandi L. Baldock; Jimmy Franco; Stephen Theberge; Anthony L. Fernandez – Journal of Chemical Education, 2025
There is a growing need for chemistry students to be able to handle and manipulate large datasets and analyze them in an efficient and accessible way. This creates the need to develop course materials that introduce these topics early in the undergraduate curriculum. To address this growing need, this activity introduced RStudio to students…
Descriptors: Chemistry, Science Instruction, College Science, Undergraduate Students
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Jeremy L. Hsu; Sara Gartland; Joelle Prate; Charles Hohensee – CBE - Life Sciences Education, 2025
Quantitative reasoning (QR) is a key skill for undergraduate biology education. Despite this, many students struggle with QR. Here, we use the theoretical framework of student noticing to investigate why some students struggle with QR in introductory biology labs. Under this framework, what students notice when given new information and data…
Descriptors: Thinking Skills, Numeracy, Introductory Courses, Biology