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Kevin Slonka; Matthew North; Neelima Bhatnagar; Anthony Serapiglia – Information Systems Education Journal, 2025
Continuing to fill the literature gap, this research replicated and expands a prior study of student performance in database normalization in an introductory database course. The data was collected from four different universities, each having different prerequisite courses for their database course. Student performance on a database normalization…
Descriptors: Required Courses, Academic Achievement, Information Systems, Databases
Fulya Kula; Nelly Litvak; Tracy S. Craig – IEEE Transactions on Education, 2024
The sample mean in statistics is a concept of great importance, with its properties being extensively utilized in other areas, such as computer science. This research centers on the concept of the sample mean and its characteristics in a cohort of computer engineering students undertaking a required course in statistics at a university in the…
Descriptors: Computer Science Education, Engineering Education, Learning Processes, Statistics
Jiali Zheng; Melissa Duffy; Ge Zhu – Discover Education, 2024
Students in technology majors such as Computer Science and Information Technology need to take a series of computer programming courses to graduate. Yet, not all students will persist in taking programming courses as required, and little is known about the factors influencing their enrollment intentions. Research is needed to better understand…
Descriptors: Computer Science Education, Programming, Predictor Variables, Enrollment
Orly Barzilai; Sofia Sherman; Moshe Leiba; Hadar Spiegel – Journal of Information Systems Education, 2024
Data Structures and Algorithms (DS) is a basic computer science course that is a prerequisite for taking advanced information systems (IS) curriculum courses. The course aims to teach students how to analyze a problem, design a solution, and implement it using pseudocode to construct knowledge and develop the necessary skills for algorithmic…
Descriptors: Statistics Education, Problem Solving, Information Systems, Algorithms
Smith, Katie N.; Lapan, Julia C. – Computer Science Education, 2023
Background and Context: Women are severely underrepresented in computer science (CS). Understanding varied entry points into CS may promote women's participation in the field. Objective: This study identifies experiences that influenced women's matriculation into CS majors, and pathways into CS based on participants' enrollment in bachelor of arts…
Descriptors: Females, Guided Pathways, Computer Science Education, Bachelors Degrees
Deepak Dawar – Information Systems Education Journal, 2024
Learning computer programming is typically difficult for newcomers. Demotivation and learned helplessness have received much attention. Besides the subject's intricacy, low in-class participation has been associated with poor student achievement. This paper presents a follow-up, stage 2 study on the novel instructional technique, Student-Driven…
Descriptors: College Students, Computer Science Education, Required Courses, Elective Courses
Wanjun Chen; Prasert Ruannakarn – Higher Education Studies, 2024
CIPP, as a decision-oriented new model of curriculum evaluation, is suitable for the evaluation needs of information-based physical education courses. The evaluation of teaching in information-based physical education courses based on the CIPP model is divided into four categories: context evaluation, input evaluation, process evaluation, and…
Descriptors: Information Technology, Technology Integration, Physical Education, Course Evaluation
Ida L. Oesteraas – Journal of Cybersecurity Education, Research and Practice, 2023
The National Security Agency (NSA) awards Center of Academic Excellence (CAE) designations to institutions that commit to producing cybersecurity professionals who will work in careers that reduce vulnerabilities in our national infrastructure. A review of the curricula in the 327 institutions and their degree programs reveal that only two…
Descriptors: National Security, Federal Government, Public Agencies, Computer Security
Towhidi, Gelareh; Pridmore, Jeannie – Journal of Information Systems Education, 2023
Cybersecurity is among the highest in-demand skills for Information Systems graduates and therefore is critical for the Information Systems curriculum. There is a substantial lack of skilled cybersecurity graduates. It is estimated that there is a global shortage of almost three and a half million cybersecurity professionals in 2022. Organizations…
Descriptors: Computer Security, Computer Science Education, Alignment (Education), Higher Education
Elisaweta Ossovski; Michael Brinkmeier – European Journal of Engineering Education, 2024
Among students and lecturers of Computer Science (CS)-related subjects, there is often anecdotal talk that Frustration Tolerance (FT) is a requirement for success in CS studies or that students would learn it during their studies. In order to relate the anecdotal perception and the psychological concept of FT and to explore the anecdotal…
Descriptors: Computer Science Education, Majors (Students), Prerequisites, Required Courses
Ceccucci, Wendy; Jones, Kiku; Toskin, Katarzyna; Leonard, Lori – Information Systems Education Journal, 2020
As companies continue to put data and business analytics as their top priority, universities will need to supply students with the appropriate skill sets that meet this demand and offer future opportunities to their graduates. Although business analytics is a new field, many of the required competencies stem from already established areas such as…
Descriptors: Business Administration Education, Computer Science Education, Undergraduate Study, Information Technology
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
Yadav, Alok Kumar; Oyelere, Solomon Sunday – Education and Information Technologies, 2021
This paper intends to present an overview of a mobile game-based learning application, BaghLearn that develops and upskills programming and algorithmic knowledge by cross-curricular capabilities through a traditional world-based game. The focus of this research was to explore the learning effectiveness of BaghLearn on students. Mixed method…
Descriptors: Foreign Countries, Undergraduate Students, Handheld Devices, Educational Games
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
Bohler, Jeffrey A.; Larson, Benjamin; Peachey, Todd A.; Shehane, Ronald F. – Journal of Information Systems Education, 2020
Information systems education objectives must continually adapt to a dynamic marketplace for knowledge and skills. For faculty developing programs that better prepare students for this demanding environment, existing research and guidelines provide a foundation to develop relevant coursework. However, an examination of peer institutions indicates…
Descriptors: Information Systems, Computer Science Education, Curriculum Evaluation, Guidelines