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McKinney, Earl, Jr.; Niese, Bethany; Bhatia, Mantek Singh – Journal of Information Systems Education, 2023
Active learning pedagogy has many documented benefits, and while several positive examples of its recent use in STEM classes have led to better performance, greater diversity, more equity, and improved retention of underrepresented student populations, more research in IS and IT classrooms is needed. Most active learning exercises are in a…
Descriptors: Active Learning, Audience Response Systems, Teaching Methods, Data Analysis
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Ye, Chen; Zhao, Lin – Journal of Information Systems Education, 2023
Businesses assess public sentiment toward relevant topics and gain valuable insights through social media analytics (SMA). Students of business information analytics can therefore reap multiple benefits from SMA as a learning tool. We designed and implemented an SMA capstone project that integrated undergraduate research and community engagement.…
Descriptors: Social Media, Capstone Experiences, Educational Research, Student Projects
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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
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Ming Wang; Jun Zhan; Tao Hu – Journal of Information Systems Education, 2024
This study introduces a modular teaching framework for business data analytics (BDA) curricula and programs. The framework integrates gamification features of the SAP business processes, ERPsim Games, and SAP data warehousing into the experiential learning of BDA curricula. The pedagogical practices of deploying the framework in an undergraduate…
Descriptors: Business Education, Data Analysis, Gamification, Experiential Learning
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DePaolo, Concetta A.; Jacobs, Aimee – Journal of Information Systems Education, 2021
We present a case study to teach data visualization with Tableau in an introductory business analytics course. The case uses publicly available data sets from touringplans.com that record wait times for various attractions at Disney World in Orlando, Florida. In the case study, students use Tableau to clean, organize, and analyze wait time data,…
Descriptors: Data Analysis, Visual Aids, Computer Software, Teaching Methods
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Anand Jeyaraj – Journal of Information Systems Education, 2024
A significant activity in the business analytics process is enrichment, which deals with acquiring and combining data from external sources. While different strategies for enrichment are possible, it can be accomplished more efficiently through automation using Python scripts. Since business students may not be immersed in technology skills and…
Descriptors: Scaffolding (Teaching Technique), Business Administration Education, Data Analysis, Programming Languages
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Zhang, Limin; Chen, Fang; Wei, Wei – Journal of Information Systems Education, 2020
The current data-centric business environment has seen an increasing demand for business students with knowledge and skills in the area of business analytics. This article presents the design and implementation of a foundation business analytics (BA) course for undergraduate business students who aspire to become data-literate professionals or…
Descriptors: Teaching Methods, Data Analysis, Business Administration Education, Computer Software
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Mannino, Michael V.; Khojah, Mohammed; Gregg, Dawn G. – Journal of Information Systems Education, 2021
This paper describes an innovative approach for teaching the challenges in the management of data warehouse development. The approach contains lecture material providing conceptual background about the management of data warehouse development, a simulation game supporting experiential learning, and a post-play debriefing to support synthesis of…
Descriptors: Game Based Learning, Simulation, Data Analysis, Teaching Methods
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Zadeh, Amir H.; Zolbanin, Hamed M.; Sharda, Ramesh – Journal of Information Systems Education, 2021
The age of big data drives the need for emerging technologies to enable scalable analytics on massive, rapidly generated, and varied data. It requires "data scientists" with deep knowledge of managing the six Vs of big data: volume, velocity, variety, volatility, veracity, and value. As a result of this trend, new analytical tools are…
Descriptors: Social Media, Business Administration Education, Data Analysis, Teaching Methods
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Radovilsky, Zinovy; Hegde, Vishwanath – Journal of Information Systems Education, 2022
Data Mining (DM) is one of the most offered courses in data analytics education. However, the design and delivery of DM courses present a number of challenges and issues that stem from the DM's interdisciplinary nature and the industry expectations to generate a broader range of skills from the analytics programs. In this research, we identified…
Descriptors: Data Analysis, Statistics Education, Graduate Students, Barriers
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Agogo, David; Anderson, Jesse – Journal of Information Systems Education, 2019
Educators must constantly figure out engaging ways to teach data management and modeling concepts, especially to non-technical audiences. This paper introduces and describes an experiential learning activity using playing cards to teach a range of business and technical concepts. The paper is enriched by personal anecdotes and experiences from…
Descriptors: Teaching Methods, Games, Pretests Posttests, Recall (Psychology)
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Jeyaraj, Anand – Journal of Information Systems Education, 2019
Responding to the industry need for professionals to employ data-driven decision-making, educational institutions offer courses in business analytics (BA). Since BA professionals require a unique set of skills different from those found in specific business disciplines, a pedagogical framework to impart such knowledge and skills was developed. The…
Descriptors: Decision Making, Data Analysis, Visualization, Data Interpretation
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Nestorov, Svetlozar; Jukic, Nenad; Rossi, Sippo – Journal of Information Systems Education, 2019
This paper describes a new data visualization class and its real-world project component in the information systems undergraduate program at Loyola University Chicago Quinlan School of Business. The motivation for and the evolution of the data visualization class are outlined. The fit and the position of the data visualization class in the…
Descriptors: Outcomes of Education, Data Analysis, Information Science Education, Undergraduate Students
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Zadeh, Amir H.; Zolbanin, Hamed M.; Sengupta, Arijit; Schultz, Todd – Journal of Information Systems Education, 2020
Enterprise resource planning systems (ERP) are the most essential and critical information systems that are widely used to build all the functions of a business into a unified and efficient enterprise system. Although the essence of ERP systems are easy to understand, students, especially those who do not have technical experience, have difficulty…
Descriptors: Computer Software, Information Systems, Efficiency, Information Science Education
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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