NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 61 to 75 of 104 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Adams, Bryan; Baller, Daniel; Jonas, Bryan; Joseph, Anny-Claude; Cummiskey, Kevin – Journal of Statistics and Data Science Education, 2021
Since the publishing of Nolan and Temple Lang's "Computing in the Statistics Curriculum" in 2010, the American Statistical Association issued new recommendations in the revised GAISE college report. To reflect modern practice and technologies, they emphasize giving students experience with multivariable thinking. Students develop…
Descriptors: Multivariate Analysis, Statistics Education, Teaching Methods, Thinking Skills
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Yang, Jeong; Lee, Young; Fernandez, Amanda; Sanchez, Joshua – Journal of Cybersecurity Education, Research and Practice, 2020
As the cyber security landscape dynamically evolves and security professionals work to keep apace, modern-day educators face the issue of equipping a new generation for this dynamic landscape. With cyber-attacks and vulnerabilities substantially increased over the past years in frequency and severity, it is important to design and build secure…
Descriptors: Computer Security, Programming Languages, Programming, Computer Uses in Education
Peer reviewed Peer reviewed
Direct linkDirect link
Vargas, Santiago; Zamirpour, Siavash; Menon, Shreya; Rothman, Arielle; Häse, Florian; Tamayo-Mendoza, Teresa; Romero, Jonathan; Sim, Sukin; Menke, Tim; Aspuru-Guzik, Alán – Journal of Chemical Education, 2020
The increasing integration of software and automation in modern chemical laboratories prompts special emphasis on two important skills in the chemistry classroom. First, students need to learn the technical skills involved in modern scientific computing and automation. Second, applying these techniques in practice requires effective collaboration…
Descriptors: Teamwork, Computer Uses in Education, Cooperative Learning, Automation
Peer reviewed Peer reviewed
Direct linkDirect link
Reinhart, Alex; Genovese, Christopher R. – Journal of Statistics and Data Science Education, 2021
Traditionally, statistical computing courses have taught the syntax of a particular programming language or specific statistical computation methods. Since Nolan and Temple Lang's seminal paper, we have seen a greater emphasis on data wrangling, reproducible research, and visualization. This shift better prepares students for careers working with…
Descriptors: Computer Software, Graduate Students, Computer Science Education, Statistics Education
Peer reviewed Peer reviewed
Direct linkDirect link
Beckman, Matthew D.; Çetinkaya-Rundel, Mine; Horton, Nicholas J.; Rundel, Colin W.; Sullivan, Adam J.; Tackett, Maria – Journal of Statistics and Data Science Education, 2021
A version control system records changes to a file or set of files over time so that changes can be tracked and specific versions of a file can be recalled later. As such, it is an essential element of a reproducible workflow that deserves due consideration among the learning objectives of statistics courses. This article describes experiences and…
Descriptors: Statistics Education, Data Analysis, Teaching Methods, Graduate Students
Kaitlyn G. Fitzgerald; Elizabeth Tipton – Grantee Submission, 2022
As the body of scientific evidence about effective policies and practices grows, so does the need to effectively communicate that evidence to policy-makers and practitioners. Clearinghouses have emerged to facilitate the evidence-based decision-making process for education practitioners. While the results and methods for developing and analyzing…
Descriptors: Meta Analysis, Scientific Research, Evidence Based Practice, Decision Making
Peer reviewed Peer reviewed
Direct linkDirect link
Kaitlyn G. Fitzgerald; Elizabeth Tipton – Journal of Research on Educational Effectiveness, 2022
As the body of scientific evidence about effective policies and practices grows, so does the need to effectively communicate that evidence to policy-makers and practitioners. Clearinghouses have emerged to facilitate the evidence-based decision-making process for education practitioners. While the results and methods for developing and analyzing…
Descriptors: Meta Analysis, Scientific Research, Evidence Based Practice, Decision Making
Peer reviewed Peer reviewed
Direct linkDirect link
Dong, Tianxi; Triche, Jason – Journal of Information Systems Education, 2020
The explosive growth of the data analytics field has continued over the past decade with no signs of slowing down. Given the fast pace of technology changes and the need for IT professionals to constantly keep up with the field, it is important to analyze the job skills and knowledge required in the data analyst and business intelligence (BI)…
Descriptors: Job Skills, Data Analysis, Information Technology, Job Applicants
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Liu, Xiaoming; Schwieger, Dana – Information Systems Education Journal, 2023
Rapid advancements and emergent technologies add an additional layer of complexity to preparing computer science and information technology higher education students for entering the post pandemic job market. Knowing and predicting employers' technical skill needs is essential for shaping curriculum development to address the emergent skill gap.…
Descriptors: Network Analysis, Employment Opportunities, Information Technology, Computer Science Education
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Frydenberg, Mark; Xu, Jennifer – Information Systems Education Journal, 2019
Python is a popular, general purpose programming language that is gaining wide adoption in beginning programming courses. This paper describes the development and implementation of an introductory Python course at a business university open to students in a variety of majors and minors. Given the growing number of career opportunities in…
Descriptors: Programming Languages, Introductory Courses, Data Analysis, Course Descriptions
Peer reviewed Peer reviewed
Direct linkDirect link
Gregg, Nikole; Leventhal, Brian C. – Educational Measurement: Issues and Practice, 2020
In this digital ITEMS module, Nikole Gregg and Dr. Brian Leventhal discuss strategies to ensure data visualizations achieve graphical excellence. Data visualizations are commonly used by measurement professionals to communicate results to examinees, the public, educators, and other stakeholders. To do so effectively, it is important that these…
Descriptors: Data Analysis, Evidence Based Practice, Visualization, Test Results
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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)
Peer reviewed Peer reviewed
Direct linkDirect link
Bers, Marina Umaschi; Sullivan, Amanda – Journal of Information Technology Education: Innovations in Practice, 2019
Aim/Purpose: This paper aims to explore whether having state Computer Science standards in place will increase young children's exposure to coding and powerful ideas from computer science in the early years. Background: Computer science education in the K-2 educational segment is receiving a growing amount of attention as national and state…
Descriptors: Computer Science Education, Early Childhood Education, Young Children, Computer Software
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7