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Schwab-McCoy, Aimee; Baker, Catherine M.; Gasper, Rebecca E. – Journal of Statistics and Data Science Education, 2021
In the past 10 years, new data science courses and programs have proliferated at the collegiate level. As faculty and administrators enter the race to provide data science training and attract new students, the road map for teaching data science remains elusive. In 2019, 69 college and university faculty teaching data science courses and…
Descriptors: Statistics Education, Higher Education, College Students, Teaching Methods
Steven Sclarow; A. J. Raven; Mart Doyle – Journal of Information Systems Education, 2024
This paper presents field-tested improvements over an 11-year period of a large-scale "Introduction to Information Systems" core business school course and provides a framework for implementation. Engagement and learning in large-scale courses can prove challenging, especially when the class is a requirement within a business school's…
Descriptors: Learning Strategies, Information Systems, Large Group Instruction, Introductory Courses
Sankaran, Siva; Sankaran, Kris; Bui, Tung – Decision Sciences Journal of Innovative Education, 2023
Applying Herzberg's motivation-hygiene theory, we studied the determinants of student satisfaction in using R in a Decision Support Systems course that previously used Excel to teach Data Mining and Business Analytics (DMBA). The course is a degree requirement, and prior programming experience is not a prerequisite. We hypothesized that motivators…
Descriptors: Data Analysis, Programming Languages, Student Attitudes, Computer Science Education
Del Toro, Israel; Dickson, Kimberly; Hakes, Alyssa S.; Newman, Shannon L. – American Biology Teacher, 2022
Increasingly, students training in the biological sciences depend on a proper grounding in biological statistics, data science and experimental design. As biological datasets increase in size and complexity, transparent data management and analytical methods are essential skills for undergraduate biologists. We propose that using the software R…
Descriptors: Undergraduate Students, Biology, Statistics Education, Data Analysis
Scheller, Daniel S. – Journal of Public Affairs Education, 2022
The general growth in public affairs programs offering hybrid and online courses to reach a wide variety of students, along with the necessity of doing so during a global health pandemic, calls for an investigation of best practices in teaching public affairs statistics and research-oriented courses. These courses often require the use of a…
Descriptors: Case Studies, Programming Languages, Statistics Education, Teaching Methods
Förster, Anna; Dede, Jens; Udugama, Asanga; Förster, Alexander; Helms, Daniel; Kniefs, Louis; Müller, Julia; Gerken, Lars; Richter, Franziska; Kulmann, Jan – Education Sciences, 2021
In this paper, we present our experience with redesigning an introductory computer science course for (electrical) engineers with blended learning concepts. It is a large mandatory course with eight credit points over the course of two semesters, where first year electrical engineers learn how to program with Arduino, C and Python. Additionally,…
Descriptors: Blended Learning, Introductory Courses, Required Courses, Computer Science Education
Ferguson, Roger C.; Leidig, Paul M.; Reynolds, John H. – Information Systems Education Journal, 2015
General education is more than a list of required courses a student must take to complete their degree. For most universities, general education is the groundwork for the student's university experience. These courses span multiple disciplines and allow students to experience a wide range of topics on their path to graduation. Programming classes,…
Descriptors: Programming, Programming Languages, General Education, Required Courses
Baugh, Jeanne M. – Information Systems Education Journal, 2015
All Computer Information Systems programs require a database course for their majors. This paper describes an approach to such a course in which real world examples, both design projects and actual database application projects are incorporated throughout the semester. Students are expected to apply the traditional database concepts to actual…
Descriptors: Undergraduate Students, Computer Science Education, Information Systems, Databases
Eid, Chaker; Millham, Richard – American Journal of Business Education, 2013
In this paper, we investigate whether and how mathematics factors into students' performance in IT learning. The involved cognitive levels of students learning mathematics and hence problem solving, are correlated to how well they are able to transpose their knowledge and apply it to problem solving in the IT field(s). Our hypothesis is that if…
Descriptors: Information Technology, Mathematics Education, Interdisciplinary Approach, Unified Studies Curriculum