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Iva Božovic – Journal of Political Science Education, 2024
This work reports on the implementation of a self-contained data-literacy exercise designed for use in undergraduate classes to help students practice data literacy skills such as interpreting and evaluating evidence and assessing arguments based on data. The exercises use already developed data-visualizations to test and develop students' ability…
Descriptors: Data Use, Teaching Methods, Data, Information Literacy
Bridges, Eileen – Journal of Marketing Education, 2021
This article looks back over the past two decades to describe how teaching of undergraduate marketing research has (or has not) changed. Sweeping changes in technology and society have certainly affected how marketing research is designed and implemented--but how has this affected teaching of this important topic? Although the purpose of marketing…
Descriptors: Marketing, Undergraduate Students, Educational Change, Teaching Methods
Kim, Albert Y.; Hardin, Johanna – Journal of Statistics and Data Science Education, 2021
We provide a computational exercise suitable for early introduction in an undergraduate statistics or data science course that allows students to "play the whole game" of data science: performing both data collection and data analysis. While many teaching resources exist for data analysis, such resources are not as abundant for data…
Descriptors: Data Collection, Data Analysis, Statistics Education, Undergraduate Students
Travis Weiland; Immanuel Williams – Journal of Statistics and Data Science Education, 2024
In this article, we consider how to make data more meaningful to students through the choice of data and the activities we use them in drawing upon students lived experiences more in the teaching of statistics and data science courses. In translating scholarship around culturally relevant pedagogy from the fields of education and mathematics…
Descriptors: Undergraduate Students, Predominantly White Institutions, Statistics Education, Culturally Relevant Education
Patricia M. Sheridan; Marc Waldman – Journal of Legal Studies Education, 2024
Today's college students increasingly rely on technology in their daily activities, and a basic awareness of data privacy is becoming essential from both a personal and professional standpoint. This article describes the design of an interdisciplinary undergraduate course focused on data privacy law. It outlines the key content areas that…
Descriptors: Curriculum Design, Data, Privacy, Information Security
Edwards, John; Hart, Kaden; Shrestha, Raj – Journal of Educational Data Mining, 2023
Analysis of programming process data has become popular in computing education research and educational data mining in the last decade. This type of data is quantitative, often of high temporal resolution, and it can be collected non-intrusively while the student is in a natural setting. Many levels of granularity can be obtained, such as…
Descriptors: Data Analysis, Computer Science Education, Learning Analytics, Research Methodology
Da Xuan Ng; Wei Jun Marc Chao; Kai Qin Chan – Psychology Learning and Teaching, 2025
Single-subjects design has the advantage of providing detailed, individualized analyses of intervention. However, creating a tutorial for single-subject design (SSD) is challenging, and an effective version for online delivery is currently unavailable. Here, we developed an experiential SSD tutorial designed for online delivery and evaluated its…
Descriptors: Teaching Methods, Tutorial Programs, Tutoring, Undergraduate Students
Jule Scheper; Robin Leuppert; Daniel Possler; Anna Freytag; Sophie Bruns; Julia Niemann-Lenz – Journalism and Mass Communication Educator, 2025
Despite the increasing use of the statistical programming language R in statistics and data analysis (SDA), its implementation in communication science education is limited. Experiences, recommendations, and a critical exchange are therefore scarce. The following contribution addresses this very gap. At the Department of Journalism and…
Descriptors: Journalism Education, Programming Languages, Statistical Analysis, Data Analysis
Stephens, Paul; Young, Jacob – Information Systems Education Journal, 2020
We describe a "Day of Giving" university fundraising event that can be used to introduce data visualization to undergraduate students. The project involves integrating data sources, creating a Tableau data model, and designing a heat map that can be embedded into a front-end website. Our activity provides opportunities to discuss various…
Descriptors: Data Analysis, Visualization, Experiential Learning, Learning Activities
Novak, Walter R. P. – Biochemistry and Molecular Biology Education, 2022
Biochemistry is a data-heavy discipline, yet teaching students to work with large datasets is absent from many undergraduate Biochemistry programs. Ensuring that future generations of students are confident in tackling problems using big data first requires that educators become comfortable teaching big data skills. The activity described herein…
Descriptors: Biochemistry, Data, Workshops, Undergraduate Students
Tackett, Maria – Journal of Statistics and Data Science Education, 2023
As data have become more prevalent in academia, industry, and daily life, it is imperative that undergraduate students are equipped with the skills needed to analyze data in the modern environment. In recent years there has been a lot of work innovating introductory statistics courses and developing introductory data science courses; however,…
Descriptors: Educational Change, Undergraduate Students, Regression (Statistics), Statistics Education
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
Lisa Bosman; Taofeek Oladepo; Ida Ngambeki – Journal of Research in Innovative Teaching & Learning, 2024
Purpose: Upon graduating from university, many engineers will work in new product development and/or technology adoption for continuous improvement and production optimization. These jobs require employees to be cognizant of ethical practices and implications for design. However, little engineering coursework, outside the traditional ABET…
Descriptors: Engineering Education, Ethics, Data, Information Security
The Data to Decision Project: An Experiential Approach to Teaching Undergraduate Business Statistics
Matthew P. Shatzkin; Wei Chen; David S. Greisler; Christopher Kratz – Journal of Education for Business, 2024
Teaching statistics to undergraduate business students is an enduring challenge, often due to student apprehension and low understanding of relevance. The Data to Decision Project is an approach designed to address this challenge. At the onset of an introductory statistics course, fifty-two students received instruction on the Define, Collect,…
Descriptors: Undergraduate Students, Business Administration, Undergraduate Study, Statistics
Yazici, Hulya Julie – Decision Sciences Journal of Innovative Education, 2020
The increasing use of massive data requires effective teaching strategies for business analytics. The discipline combines analytical skills, information technology, and business-domain knowledge, and is challenging to teach to business students. This research demonstrates that business undergraduate students can benefit from an experiential…
Descriptors: Student Projects, Active Learning, Business Administration Education, Undergraduate Students