NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 10 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Hilliker, Angela K.; Grayson, Kristine L. – Biochemistry and Molecular Biology Education, 2022
As biologists accumulate or encounter increasingly large and complex data sets, our field creates the need for students to develop skills in data exploration and visualization. Many biology courses lack the time for students to develop the skills needed to parse complex datasets and visualize them appropriately. We developed a new upper-level…
Descriptors: Science Instruction, Biology, Undergraduate Students, Data Collection
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
Direct linkDirect link
Schlosser, William E.; Aumell, Aidan J.; Kilkenny, Madison M. – Natural Sciences Education, 2023
University students stepped into synchronous remote learning as the COVID-19 pandemic arrived in spring 2020. Temporal limitations of the live field trip-based paradigm in teaching ecology have been complicated by remote learning. To meet the challenge, we have designed and deployed an immersive virtual ecology platform with associated field…
Descriptors: Blended Learning, Natural Resources, College Science, Ecology
Peer reviewed Peer reviewed
Direct linkDirect link
Kastens, Kim A.; Zrada, Melissa; Turrin, Margie – Journal of Geoscience Education, 2020
Question-asking is a necessary step towards formulating hypotheses, making decisions, and solving problems, and is Practice #1 in the Next Generation Science Standards. To improve question-asking, educators and researchers need a way to categorize and evaluate students' questions, so as to judge whether an intervention has been effective. We…
Descriptors: Undergraduate Students, Problem Solving, Data Collection, Visualization
Peer reviewed Peer reviewed
Direct linkDirect link
Fellers, Pamela S.; Kuiper, Shonda – Journal of Statistics Education, 2020
Increasingly students, particularly those in the social sciences, work with survey data collected through a more complex sampling method than a simple random sample. Failing to understand how to properly approach survey data can lead to inaccurate results. In this article, we describe a series of online data visualization applications and…
Descriptors: Statistics, Introductory Courses, Teaching Methods, Concept Formation
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Weinstein, Kathryn – Design and Technology Education, 2017
In the age of "Big Data," information is often quantitative in nature. The ability to analyze information through the sifting of data has been identified as a core competency for success in navigating daily life and participation in the contemporary workforce. This skill, known as Quantitative Reasoning (QR), is characterized by the…
Descriptors: Statistical Analysis, Graphic Arts, Design, Case Studies
Peer reviewed Peer reviewed
Direct linkDirect link
Gal, Ya'akov; Uzan, Oriel; Belford, Robert; Karabinos, Michael; Yaron, David – Journal of Chemical Education, 2015
A process for analyzing log files collected from open-ended learning environments is developed and tested on a virtual lab problem involving reaction stoichiometry. The process utilizes a set of visualization tools that, by grouping student actions in a hierarchical manner, helps experts make sense of the linear list of student actions recorded in…
Descriptors: Virtual Classrooms, Laboratory Experiments, Online Courses, Electronic Learning
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Ellwein, Amy L.; Hartley, Laurel M.; Donovan, Sam; Billick, Ian – Journal of Geoscience Education, 2014
Authentic scientific data, when richly contextualized, can provide the basis for compelling learning experiences. Many undergraduate students either do not have access to primary data, or if they do, the data are so abstract that student engagement is limited. Here, we describe contextual information and data-rich, student-centered activities we…
Descriptors: Climate, Ecology, Data Collection, Data Analysis
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers