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Hua-Xu Zhong; Jui-Hung Chang; Chin-Feng Lai; Pei-Wen Chen; Shang-Hsuan Ku; Shih-Yeh Chen – Education and Information Technologies, 2024
Artificial intelligence (AI) education is becoming an advanced learning trend in programming education. However, AI subjects can be difficult to understand because they require high programming skills and complex knowledge. This makes it challenging to determine how different departments of students are affected by them. This study draws on…
Descriptors: Undergraduate Students, Artificial Intelligence, Programming, STEM Education
Oscar Karnalim – Informatics in Education, 2024
Programming students need to be informed about plagiarism and collusion. Hence, we developed an assessment submission system to remind students about the matter. Each submission will be compared to others and any similarities that do not seem a result of coincidence will be reported along with their possible reasons. The system also employs…
Descriptors: Programming, Integrity, Academic Achievement, Plagiarism
Gutiérrez-Cárdenas, Juan – Journal of Information Systems Education, 2020
In the current literature, there is limited evidence of the effects of teaching programming languages using two different paradigms concurrently. In this paper, we present our experience in using a multiparadigm and multiprogramming approach for an Introduction to Programming course. The multiparadigm element consisted of teaching the imperative…
Descriptors: Information Systems, Programming, Computer Science Education, Introductory Courses
Toni Taipalus; Hilkka Grahn; Saima Ritonummi; Valtteri Siitonen; Tero Vartiainen; Denis Zhidkikh – ACM Transactions on Computing Education, 2025
SQL compiler error messages are the primary way users receive feedback when they encounter syntax errors or other issues in their SQL queries. Effective error messages can enhance the user experience by providing clear, informative, and actionable feedback. Despite the age of SQL compilers, it still remains largely unclear what contributes to an…
Descriptors: Computer Science Education, Novices, Information Systems, Programming Languages
Shmallo, Ronit Shmallo; Shrot, Tammar – Journal of Information Systems Education, 2020
A class diagram is one of the most important diagrams of Unified Modeling Language (UML) and can be used for modeling the static structure of a software system. Learning from errors is a teaching approach based on the assumption that errors can promote learning. We applied a constructive approach of using errors in designing a UML class diagram in…
Descriptors: Programming Languages, Programming, Information Systems, Engineering Education
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
Yabing Jiang; Kazuo Nakatani – Journal of Information Systems Education, 2025
This research answers the call for Information Systems (IS) faculty to actively embrace rapidly advancing AI tools in teaching. We experimented with redesigning learning activities in two courses, requiring students to use GenAI, to aid student learning and teach responsible use of GenAI. The results show that students in the experimental group…
Descriptors: Teaching Methods, Technology Integration, Artificial Intelligence, Higher Education
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
Yue, Kwok-Bun; Chandrasekar, Karthika; Gullapalli, Hema – Information Systems Education Journal, 2019
Bitcoin is the first major decentralized cryptocurrency with wide acceptance. A core technological innovation of Bitcoin is blockchain, a secure and pseudonymous general ledger that stores every Bitcoin transaction. Blockchain has received enormous attention from both the commercial and academic worlds, and it is generally recognized as the…
Descriptors: Monetary Systems, Information Storage, Databases, Technological Advancement
Wang, Hai; Wang, Shouhong – Journal of Information Systems Education, 2022
No-code/low-code app development is transforming traditional information system development paradigms. This teaching tip uses an example of course unit of decision support systems (DSS) to demonstrate that introducing no-code system implementation assignments into a course as a replacement for computer programming language exercises can improve…
Descriptors: Information Systems, Information Science Education, Programming Languages, Teaching Methods
Han, Wencui; Larson, Eric C. – Journal of Information Systems Education, 2022
This case uses data analytic techniques to expose students to the context of the initial coin offering marketplace. The exercise is well-suited as a group activity in an undergraduate or graduate business analytics course in which students have been taught analytic techniques such as word cloud, descriptive statistics, basic visualizations, and…
Descriptors: Information Systems, Information Science Education, Data Analysis, Business Administration Education
Xu, Jennifer; Frydenberg, Mark – Information Systems Education Journal, 2021
Recent years have witnessed a growing demand for business analytics-oriented curricula. This paper presents the implementation of an introductory Python course at a business university and the attempt to elevate the course's relevance by introducing data analytics topics. The results from a survey of 64 undergraduate students of the course are…
Descriptors: Programming Languages, Computer Science Education, Information Systems, Relevance (Education)
Shaw, Ruey-Shiang – Journal of Educational Computing Research, 2019
This study focused on the relationships between knowledge mapping construction methods and learning performance. The different knowledge mapping methods (by experts vs. by self-learners) were assumed to achieve different learning performance levels. The results of this study show that neither different knowledge map construction methods nor…
Descriptors: Cognitive Style, Programming Languages, Correlation, Cognitive Mapping
Abdunabi, Ramadan; Hbaci, Ilham; Ku, Heng-Yu – Journal of Information Technology Education: Research, 2019
Aim/Purpose: Currently, Information Systems (IS) departments in business schools are moving towards integrating learning to program or code in their undergraduate core courses. Many factors affecting IS student success in learning to program have been identified, but there is still a dearth of knowledge about student perceptions on their own…
Descriptors: Undergraduate Students, Student Attitudes, Self Efficacy, Programming
Smith, Tim C.; Jones, Leslie – Journal of Information Systems Education, 2021
There are many factors to consider when selecting a first programming language for the management information systems (MIS) program. Determining the appropriate language for introductory MIS programming courses is challenging due to the lack of research guidance that addresses the specific context of programming in MIS curricula. This paper…
Descriptors: Programming Languages, Information Science Education, Information Systems, Management Systems