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McHenry, William K. – Journal of Information Systems Education, 2022
Students now have readily available and powerful tools to access, manipulate, combine, and visualize data. Acquiring data and visual literacy requires more than knowledge of how to use these tools. Students need to engage with assignments that challenge them to make relatively complex visualizations, interpret them, and explain why these…
Descriptors: Visual Aids, Scoring Rubrics, Feedback (Response), Data Interpretation
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Mark Sena; Thilini Ariyachandra – Information Systems Education Journal, 2024
The Titanic disaster is a topic that continues to fascinate. As the importance of analytics continues to grow in industry, data literacy skills have become increasingly important in business education. This project allows students to use the passenger data from the Titanic to build their data literacy skills using an engaging, experiential topic.…
Descriptors: Literacy, Teaching Methods, Experiential Learning, Business Education
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Kari L. Lavalli; Maria E. Abate – Journal of College Science Teaching, 2024
Environmental science classes often ask students to examine changes in species or their environments to determine the human impact on a particular habitat or ecosystem. It is not always practical to take students out for a field study to do this kind of analysis; instead, the scientific method and diversity analyses can be utilized while students…
Descriptors: Art, Ecology, Scientific Concepts, Environmental Education
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Siggard, Reagan; Dupin-Bryant, Pamela A.; Mills, Robert J.; Olsen, David H. – Journal of Information Systems Education, 2022
The SQL-Explore Learning Module detailed in this teaching tip provides an opportunity for students to apply database course knowledge beyond solving traditional pre-determined Structured Query Language (SQL) coding questions. In this unique constructivist activity using the apropos 5E Instructional Model, students explore tables to locate data…
Descriptors: Programming Languages, Databases, Coding, Tables (Data)
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Christine Ladwig; Taylor Webber; Dana Schwieger – Information Systems Education Journal, 2023
Data is a powerful tool for the healthcare industry to use for managing, analyzing, and reporting on critical events in the field. The analysis of broad, salient data files aids healthcare businesses in uncovering hidden patterns, market trends, and customer preferences; these details may then be used to improve the quality and delivery of care to…
Descriptors: Rural Areas, Health Services, Data Analysis, Learning Activities
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Boehm, Frederick J.; Hanlon, Bret M. – Journal of Statistics and Data Science Education, 2021
We draw on our experiences with mentoring two students to develop a framework for undergraduate research projects with Twitter data. Leveraging backward design principles, we share our learning objectives and rubric for summative assessments. To illustrate the value of Twitter as a data source, we detail methods for collecting and analyzing…
Descriptors: Social Media, Mentors, Guidelines, Undergraduate Students
Region 9 Comprehensive Center, 2021
The COVID-19 pandemic has created an unprecedented challenge for state, district, and school leaders across the country. Whether states and districts mandate or choose an in-person or remote model or a hybrid model, which includes some aspect of virtual learning, ensuring that vulnerable students and teachers have a remote learning option has…
Descriptors: Distance Education, Blended Learning, Educational Quality, Learner Engagement
Kulkarni, Tara; Weeks, Mollie R.; Sullivan, Amanda L. – Equity Assistance Center Region III, Midwest and Plains Equity Assistance Center, 2021
This Equity Tool, intended to support when critically reading a research study/report, provides a brief introduction to key concepts and issues involved in using largescale research, calling attention to high profile controversies, and providing explicit linkages to desegregation areas (race, sex, nationality, religion). The first part (Table 1)…
Descriptors: Equal Education, Check Lists, Data Analysis, Research Reports
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Ariyachandra, Thilini – Information Systems Education Journal, 2020
During the past decade, digital transformation enabled by big data and analytics emerged as a key theme in the business world. It promises to continue be a theme of major importance in the 2020s. Digital transformation comes at the cost of grappling with and analyzing the ever-growing volume of data. Data visualization techniques are seen as a…
Descriptors: Skill Development, Undergraduate Students, Data Analysis, Data Use
Region 9 Comprehensive Center, 2021
The COVID-19 pandemic has created an unprecedented challenge for state, district, and school leaders across the country. Whether states and districts mandate or choose an in-person or remote model or a hybrid model, which includes some aspect of virtual learning, ensuring that vulnerable students and teachers have a remote learning option has…
Descriptors: Distance Education, Blended Learning, Educational Quality, Data Collection
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Hudiburgh, Lynette M.; Garbinsky, Diana – Journal of Statistics Education, 2020
Although the use of tables, graphs, and figures to summarize information has long existed, the advent of the big data era and improved computing power has brought renewed attention to the field of data visualization. As such, it is crucial that introductory statistics courses train students to become critical authors and consumers of data…
Descriptors: Statistics Education, Data Analysis, Visualization, Teaching Methods
Mikheeva, Ekaterina, Ed.; Meyer, Sebastian, Ed. – International Association for the Evaluation of Educational Achievement, 2020
IEA's International Computer and Information Literacy Study (ICILS) 2018 is designed to assess how well students are prepared for study, work, and life in a digital world. The study measures international differences in students' computer and information literacy (CIL): their ability to use computers to investigate, create, participate, and…
Descriptors: International Assessment, Computer Literacy, Information Literacy, Computer Assisted Testing
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Lovett, Marsha; Hershock, Chad – To Improve the Academy, 2020
A prominent goal of colleges and universities today is to enact data-driven teaching and learning. Faculty clearly play a key role, and yet they tend to have limited time, a lack of training in assessment or education research, and few incentives for engaging in this work. We describe a framework designed to address the practical and cultural…
Descriptors: Teaching Methods, Data Analysis, Systems Approach, Lesson Plans
International Association for the Evaluation of Educational Achievement, 2022
The Responses to Educational Disruption Survey (REDS), conducted by the International Association for the Evaluation of Educational Achievement (IEA), studied how teaching and learning were affected by the disruptions caused by COVID-19 and aimed to paint a picture of national responses to the global pandemic. REDS was based on the premise that…
Descriptors: Teaching Methods, Learning Processes, Principals, Administrator Attitudes
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Henry, Susan F.; Mello, Dan; Avery, Maria-Paz; Parker, Caroline; Stafford, Erin – Regional Educational Laboratory Northeast & Islands, 2017
Most state departments of education across the United States recommend or require that districts use a home language survey as the first step in a multistep process of identifying students who qualify for English learner student services. School districts typically administer the home language survey to parents and guardians during a student's…
Descriptors: Native Language, Surveys, English Language Learners, Identification
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