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Bay Arinze – Journal of Statistics and Data Science Education, 2023
Data Analytics has grown dramatically in importance and in the level of business deployments in recent years. It is used across most functional areas and applications, some of the latter including market campaigns, detecting fraud, determining credit, identifying assembly line defects, health services and many others. Indeed, the realm of…
Descriptors: Data Analysis, Elections, Simulation, Statistics Education
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
Mohammad, Nagham; McGivern, Lucinda – Online Submission, 2020
In regression analysis courses, there are many settings in which the response variable under study is continuous, strictly positive, and right skew. This type of response variable does not adhere to the normality assumptions underlying the traditional linear regression model, and accordingly may be analyzed using a generalized linear model…
Descriptors: Regression (Statistics), Statistical Distributions, Simulation, Data Analysis
Son, Ji Y.; Blake, Adam B.; Fries, Laura; Stigler, James W. – Journal of Statistics and Data Science Education, 2021
Students learn many concepts in the introductory statistics course, but even our most successful students end up with rigid, ritualized knowledge that does not transfer easily to new situations. In this article we describe our attempt to apply theories and findings from learning science to the design of a statistics course that aims to help…
Descriptors: Statistics Education, Introductory Courses, Teaching Methods, Data Analysis
Pek, Jolynn; Van Zandt, Trisha – Psychology Learning and Teaching, 2020
Statistical thinking is essential to understanding the nature of scientific results as a consumer. Statistical thinking also facilitates thinking like a scientist. Instead of emphasizing a "correct" procedure for data analysis and its outcome, statistical thinking focuses on the process of data analysis. This article reviews frequentist…
Descriptors: Bayesian Statistics, Thinking Skills, Data Analysis, Evaluation Methods
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
Liu, Yiyuan; Levin, Michael A. – Marketing Education Review, 2018
With the emerging use of analytics tools and methodologies in marketing, marketing educators have provided students training and experiences beyond the soft skills associated with understanding consumer behavior. Previous studies have only discussed how to apply analytics in course designs, tools, and related practices. However, there is a lack of…
Descriptors: Teaching Methods, Data Analysis, Marketing, Curriculum Design
Junokas, M. J.; Lindgren, R.; Kang, J.; Morphew, J. W. – Journal of Computer Assisted Learning, 2018
Gestural recognition systems are important tools for leveraging movement-based interactions in multimodal learning environments but personalizing these interactions has proven difficult. We offer an adaptable model that uses multimodal analytics, enabling students to define their physical interactions with computer-assisted learning environments.…
Descriptors: Nonverbal Communication, Multimedia Instruction, Computer Assisted Instruction, Data Analysis
Letkowski, Jerzy – Journal of Instructional Pedagogies, 2018
Single-period inventory models with uncertain demand are very well known in the business analytics community. Typically, such models are rule-based functions, or sets of functions, of one decision variable (order quantity) and one random variable (demand). In academics, the models are taught selectively and usually not completely. Students are…
Descriptors: Models, Data Analysis, Decision Making, Teaching Methods
Biehler, Rolf; Frischemeier, Daniel; Podworny, Susanne – ZDM: The International Journal on Mathematics Education, 2018
Elements of statistical modeling can be implemented already in primary school. A prerequisite for this approach is that teachers are well-educated in this domain. Content knowledge, pedagogical content knowledge and (pedagogical) content related technological knowledge are core components of teacher education. We designed a course for elementary…
Descriptors: Preservice Teachers, Elementary School Teachers, Pedagogical Content Knowledge, Civics
Nyström, Sofia; Dahlberg, Johanna; Edelbring, Samuel; Hult, Håkan; Abrandt Dahlgren, Madeleine – Studies in Continuing Education, 2017
The increasing complexity of health care practice makes continuing professional development (CPD) essential for health care professionals. Simulation-based training is a CPD activity that is often applied to improve interprofessional collaboration and the quality of care. The aim of this study is to explore simulation as a pedagogical practice for…
Descriptors: Allied Health Personnel, Health Services, Professional Development, Simulation
Biehler, Rolf; Frischemeier, Daniel; Podworny, Susanne – Statistics Education Research Journal, 2017
Connecting data and chance is fundamental in statistics curricula. The use of software like TinkerPlots can bridge both worlds because the TinkerPlots Sampler supports learners in expressive modeling. We conducted a study with elementary preservice teachers with a basic university education in statistics. They were asked to set up and evaluate…
Descriptors: Elementary School Teachers, Preservice Teachers, Teaching Methods, Computer Software
Rantala, Jukka; Manninen, Marika; van den Berg, Marko – Journal of Curriculum Studies, 2016
In 2011, the Finnish National Board of Education assessed the learning outcomes of history with a study whose results raised doubts about the fulfilment of the goals of history education. This article seeks to expand awareness about Finnish adolescents' understanding of historical empathy. The study assessed twenty-two 16-17-year-old high school…
Descriptors: Foreign Countries, High School Students, Adolescents, Empathy
Cetinkaya, Bulent; Kertil, Mahmut; Erbas, Ayhan Kursat; Korkmaz, Himmet; Alacaci, Cengiz; Cakiroglu, Erdinc – Mathematical Thinking and Learning: An International Journal, 2016
Adopting a multitiered design-based research perspective, this study examines pre-service secondary mathematics teachers' developing conceptions about (a) the nature of mathematical modeling in simulations of "real life" problem solving, and (b) pedagogical principles and strategies needed to teach mathematics through modeling. Unlike…
Descriptors: Foreign Countries, Preservice Teachers, Student Teacher Attitudes, Mathematical Models
Enfield, Jacob; Myers, Rodney D.; Lara, Miguel; Frick, Theodore W. – Simulation & Gaming, 2012
Educators increasingly view the high level of engagement and experiential learning offered by games as a means to promote learning. However, as with any designed learning experience, player experiences should provide an accurate representation of content to be learned. In this study, the authors investigated the DIFFUSION SIMULATION GAME (DSG) to…
Descriptors: Innovation, Experiential Learning, Data Analysis, Learning Experience