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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
Xiaoni Zhang – Journal of Information Systems Education, 2025
This teaching tip explores the integration of AI tools into database education. The author describes how instructors can use AI tools to prepare teaching materials and how students can use AI to facilitate database development. The teaching tips provided encompass both course-level objectives and assignment-specific strategies. The inclusion of AI…
Descriptors: Databases, Technology Integration, Critical Thinking, Thinking Skills
Menon, Pratibha – Journal of Information Systems Education, 2023
This paper introduces a teaching process to develop students' problem-solving and programming efficacy in an introductory computer programming course. The proposed teaching practice provides step-by-step guidelines on using worked-out examples of code to demonstrate the applications of programming concepts. These coding demonstrations explicitly…
Descriptors: Introductory Courses, Programming, Computer Science Education, Feedback (Response)
Woods, David M. – Journal of Information Systems Education, 2020
Professionals working in technology fields face continuing challenges, not only to remain current with the latest technologies but also to understand the complex problems their company and IT organization faces. These challenges constantly change as technology evolves, and they are dependent on organizational factors. Lectures and discussions of…
Descriptors: Active Learning, Debate, Information Technology, Problem Solving
Saundage, Dilal; Cybulski, Jacob L.; Keller, Susan; Dharmasena, Lasitha – Journal of Information Systems Education, 2016
Data analysis is a major part of business analytics (BA), which refers to the skills, methods, and technologies that enable managers to make swift, quality decisions based on large amounts of data. BA has become a major component of Information Systems (IS) courses all over the world. The challenge for IS educators is to teach data analysis--the…
Descriptors: Foreign Countries, Undergraduate Students, Teaching Methods, Data Analysis
Asamoah, Daniel A.; Sharda, Ramesh; Kalgotra, Pankush; Ott, Mark – Journal of Information Systems Education, 2016
Within the context of the telecom industry, this teaching case is an active learning analytics exercise to help students build hands-on expertise on how to utilize Big Data to solve a business problem. Particularly, the case utilizes an analytics method to help develop a customer retention strategy to mitigate against an increasing customer churn…
Descriptors: Case Method (Teaching Technique), Data Collection, Data Analysis, Educational Research
Mills, Robert J.; Dupin-Bryant, Pamela A.; Johnson, John D.; Beaulieu, Tanya Y. – Journal of Information Systems Education, 2015
The demand for Information Systems (IS) graduates with expertise in Structured Query Language (SQL) and database management is vast and projected to increase as "big data" becomes ubiquitous. To prepare students to solve complex problems in a data-driven world, educators must explore instructional strategies to help link prior knowledge…
Descriptors: Cognitive Style, Databases, Information Systems, Information Science
Croes, Jo-Anne V.; Visser, Melina M. – Journal of Information Systems Education, 2015
The Google Online Marketing Challenge (GOMC) is a global, online student competition sponsored by Google. It is a prime example of an experiential learning activity that includes using real money ($250 sponsored by Google) with a real client. The GOMC has yielded compelling results in student engagement and learning objectives related to the…
Descriptors: Internet, Search Engines, Experiential Learning, Marketing

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