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Chen Zhong; J. B. Kim – Journal of Information Systems Education, 2024
Data Analytics has emerged as an essential skill for business students, and several tools are available to support their learning in this area. Due to the students' lack of programming skills and the perceived complexity of R, many business analytics courses employ no-code analytical software like IBM SPSS Modeler. Nonetheless, generative…
Descriptors: Business Education, Regression (Statistics), Programming, Artificial Intelligence
Erhardt, Robert J.; Shuman, Michael P. – Journal of Statistics Education, 2015
At Wake Forest University, a student who is blind enrolled in a second course in statistics. The course covered simple and multiple regression, model diagnostics, model selection, data visualization, and elementary logistic regression. These topics required that the student both interpret and produce three sets of materials: mathematical writing,…
Descriptors: Blindness, Statistics, College Mathematics, College Students
Benakli, Nadia; Kostadinov, Boyan; Satyanarayana, Ashwin; Singh, Satyanand – International Journal of Mathematical Education in Science and Technology, 2017
The goal of this paper is to promote computational thinking among mathematics, engineering, science and technology students, through hands-on computer experiments. These activities have the potential to empower students to learn, create and invent with technology, and they engage computational thinking through simulations, visualizations and data…
Descriptors: Calculus, Probability, Data Analysis, Computation
Van Horne, Sam; Russell, Jae-eun; Schuh, Kathy L. – Educational Technology Research and Development, 2016
Researchers have more often examined whether students prefer using an e-textbook over a paper textbook or whether e-textbooks provide a better resource for learning than paper textbooks, but students' adoption of mark-up tools has remained relatively unexamined. Drawing on the concept of Innovation Diffusion Theory, we used educational data mining…
Descriptors: Programming Languages, Hypermedia, Electronic Publishing, Textbooks