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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
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
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
Chavan, Pankaj; Mitra, Ritayan – Journal of Learning Analytics, 2022
The use of online video lectures in universities, primarily for content delivery and learning, is on the rise. Instructors' ability to recognize and understand student learning experiences with online video lectures, identify particularly difficult or disengaging content and thereby assess overall lecture quality can inform their instructional…
Descriptors: Learning Analytics, Video Technology, Lecture Method, Online Courses
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
Doberneck, Diane M.; Dann, Shari L. – Journal of Higher Education Outreach and Engagement, 2019
Community-engaged scholars, practitioners, and community partners often find the language of community engagement challenging. Words like "participate," "collaborate," "partner," or "engage" fail to convey who in a community-university partnership has voice and authority in decision-making and responsibility…
Descriptors: Service Learning, School Community Relationship, Program Evaluation, Evaluation Methods
Weiand, Augusto; Manssour, Isabel Harb; Silveira, Milene Selbach – International Journal of Distance Education Technologies, 2019
With technological advances, distance education has been frequently discussed in recent years. The learning environments used in this course usually generates a great deal of data because of the large number of students and the various tasks involving their interaction. In order to facilitate the analysis of the data, the authors researched to…
Descriptors: Foreign Countries, Distance Education, Online Courses, Visualization
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
Rossman, Allan; Cochran, James J. – Journal of Statistics Education, 2018
James J. Cochran is Professor of Applied Statistics, Rogers-Spivey Faculty Fellow, and Associate Dean for Research in the Culverhouse College of Commerce at the University of Alabama. He is a Fellow of the American Statistical Association and of Institute for Operations Research and Management Sciences. He is also a recipient of the INFORMS Prize…
Descriptors: Occupational Aspiration, College Faculty, Business Administration Education, Statistics
Aguilar, Stephen J. – Journal of Research on Technology in Education, 2018
This qualitative study focuses on capturing students' understanding two visualizations often utilized by learning analytics-based educational technologies: bar graphs, and line graphs. It is framed by Achievement Goal Theory--a prominent theory of students' academic motivation--and utilizes interviews (n = 60) to investigate how students at risk…
Descriptors: Comparative Analysis, Visualization, At Risk Students, College Students
Mouri, Kousuke; Uosaki, Noriko; Ogata, Hiroaki – Educational Technology & Society, 2018
Seamless learning has been recognized as an effective learning approach across various dimensions including formal and informal learning contexts, individual and social learning, and physical world and cyberspace. With the emergence of seamless learning, the majority of the current research focuses on realizing a seamless learning environment at…
Descriptors: Data Collection, Data Analysis, Second Language Learning, Electronic Publishing
Santoso, Harry B.; Batuparan, Alivia Khaira; Isal, R. Yugo K.; Goodridge, Wade H. – Journal of Educators Online, 2018
Student Centered e-Learning Environment (SCELE) is a Moodle-based learning management system (LMS) that has been modified to enhance learning within a computer science department curriculum offered by the Faculty of Computer Science of large public university in Indonesia. This Moodle provided a mechanism to record students' activities when…
Descriptors: Case Studies, Educational Environment, Student Centered Learning, Electronic Learning
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
Taylor, Katie Headrick; Silvis, Deborah; Kalir, Remi; Negron, Anthony; Cramer, Catherine; Bell, Adam; Riesland, Erin – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2019
A project called Mobile City Science (MCS), a partnership between the University of Washington, New York Hall of Science, the Digital Youth Network, and two high schools, leverages young people's proclivity for on-the-move digital engagement to re-place and mobilize learning through public, community settings that youth identify as being relevant…
Descriptors: Educational Technology, Technology Uses in Education, College School Cooperation, High Schools
Cruz, José L. – Lumina Foundation, 2016
Policymakers are moving to outcomes-based funding in an effort to inspire public higher education institutions to drive the transformative change required to expand access, increase graduation rates and contain costs. For outcomes-based funding to have a significant effect on student outcomes, system and institutional leaders must successfully…
Descriptors: Educational Finance, Financial Support, Outcomes of Education, Funding Formulas
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