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Design and Assessment of a Task-Driven Introductory Data Science Course Taught Concurrently in Multiple Languages: Python, R, and MATLAB (open access)

Design and Assessment of a Task-Driven Introductory Data Science Course Taught Concurrently in Multiple Languages: Python, R, and MATLAB

This article is from the 26th ACM Conference on Innovation and Technology in Computer Science Education and discusses the design, effectiveness, and curricular impacts of an introductory data science course focused on practical programming skills and allowing students to concurrently complete the course in Python, R, or MATLAB. Students indicated a preference for the multi-language course design and the course became the recommended first programming course for a newly developed and approved undergraduate data science majors.
Date: June 26, 2021
Creator: Xiao, Ting; Greenberg, Ronald I. & Albert, Mark
System: The UNT Digital Library
A content analysis of research on technology use for teaching mathematics to students with disabilities: word networks and topic modeling (open access)

A content analysis of research on technology use for teaching mathematics to students with disabilities: word networks and topic modeling

Authors of article conduct a content analysis of research on technology use for teaching mathematics to students with disabilities. They applied word networks and structural topic modeling of 488 studies published from 1980 to 2021. Results showed that the words “computer” and “computer-assisted instruction” had the highest degree of centrality in the 1980s and 1990s, and “learning disability” was another central word in the 2000s and 2010s.
Date: March 26, 2023
Creator: Shin, Mikyung; Ok, Min Wook; Choo, Sam; Hossain, Gahangir; Bryant, Diane P. & Kang, Eunyoung
System: The UNT Digital Library