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Prokofieva, Maria – Education and Information Technologies, 2021
The paper investigates the use of dashboards and data visualizations as a teaching tools in accounting units. Accounting has a growing demand for data analytics and visualization and current graduates usually lack understanding and skills in this area. The paper addresses this gap by introducing dashboards and data visualizations in teaching…
Descriptors: Accounting, Business Administration Education, Teaching Methods, Visual Aids
Yang, Yuanyuan; Majumdar, Rwitajit; Li, Huiyong; Akçapinar, Gökhan; Flanagan, Brendan; Ogata, Hiroaki – Research and Practice in Technology Enhanced Learning, 2021
Self-direction skill is considered a vital skill for twenty-first-century learners in both the learning context and physical activity context. Analysis skill for self-directed activities requires the students to analyze their own activity data for understanding their status in that activity. It is an important phase that determines whether an…
Descriptors: Data Analysis, Skill Development, Self Management, Independent Study
Kaltcheva, Nadia; Nenkova, Maia – Physics Education, 2021
Many introductory astronomy courses include concepts related to basic stellar properties. In general, these are concepts that originate from the human perception of starlight. This observational aspect is not easy to incorporate in the classroom. We explore if these concepts could be developed using the built-in data in a planetarium software.…
Descriptors: Teaching Methods, Introductory Courses, Astronomy, Computer Software
D'eon, Jessica C.; Stirchak, Laura T.; Brown, Abenen-Shepsu; Saifuddin, Yusra – Journal of Chemical Education, 2021
Understanding how to interpret and manipulate large data sets is increasingly important today; however, this experience has been slow to trickle down to the typical undergraduate student. Here, we describe the implementation of a project-based learning experience that uses portable air sensors for the real-time measurement of carbon dioxide,…
Descriptors: Active Learning, Student Projects, Pollution, Physical Environment
Hoffman, Heather J.; Elmi, Angelo F. – Journal of Statistics and Data Science Education, 2021
Teaching students statistical programming languages while simultaneously teaching them how to debug erroneous code is challenging. The traditional programming course focuses on error-free learning in class while students' experiences outside of class typically involve error-full learning. While error-free teaching consists of focused lectures…
Descriptors: Statistics Education, Programming Languages, Troubleshooting, Coding
Gibson, Patrick; Robles, Ashley – Center for Learner Equity, 2021
This technical brief is part of an ongoing series the Center for Learner Equity (CLE) launched in 2015 that examines the enrollment and experiences of students with disabilities in different school settings. Using the 2017-2018 Civil Rights Data Collection (CRDC) data released earlier this year, this brief focuses on the number and percentages of…
Descriptors: Students with Disabilities, Charter Schools, Public Schools, Data Analysis
Hwang, Joyce – New America, 2021
Youth apprenticeship is a strategy for building a more inclusive economy by creating affordable, reliable, and equitable pathways from high school to good jobs and college degrees. As youth apprenticeship programs develop and expand across the U.S., it is critical that practitioners develop plans for capturing, analyzing, and leveraging data at…
Descriptors: Apprenticeships, High School Students, Partnerships in Education, Data Analysis
Hatch, Trish; Hartline, Julie – Corwin, 2021
In this new edition of a bestseller, school counseling scholar and advocate Trish Hatch and National School Counselor of the Year Julie Hartline provide school counselors with new ways for moving from reactive to proactive and from random to intentional counseling. By using data to determine what all students deserve to receive and when some…
Descriptors: School Counseling, School Counselors, Counseling Techniques, Data Use
Tanner, Sean; Terrell, Jenna; Vislosky, Emily; Gellar, Jonathan; Gill, Brian – Regional Educational Laboratory Mid-Atlantic, 2021
Predicting incoming enrollment is an ongoing concern for the School District of Philadelphia (SDP) and similar districts with school choice systems, substantial student mobility, or both. Inaccurate predictions can disrupt learning as districts adjust to enrollment fluctuations by reshuffling teachers and students well into the fall semester. This…
Descriptors: Enrollment, Enrollment Projections, School Districts, Statistical Analysis
Regional Educational Laboratory Mid-Atlantic, 2021
Predicting incoming enrollment is an ongoing concern for the School District of Philadelphia (SDP) and similar districts with school choice systems, substantial student mobility, or both. Inaccurate predictions can disrupt learning as districts adjust to enrollment fluctuations by reshuffling teachers and students well into the fall semester. This…
Descriptors: Enrollment, Enrollment Projections, School Districts, Statistical Analysis
Regional Educational Laboratory Mid-Atlantic, 2021
Predicting incoming enrollment is an ongoing concern for the School District of Philadelphia (SDP) and similar districts with school choice systems, substantial student mobility, or both. Inaccurate predictions can disrupt learning as districts adjust to enrollment fluctuations by reshuffling teachers and students well into the fall semester. The…
Descriptors: Enrollment, Enrollment Projections, School Districts, Statistical Analysis
Education Commission of the States, 2021
In addition to generally reporting on suspension and expulsion use, at least 22 states and the District of Columbia require such reported data to be disaggregated by race, ethnicity, gender or some other category, allowing the possibility of discipline disparities to be documented and addressed. This data point highlights state policy that creates…
Descriptors: State Policy, Discipline Policy, Suspension, Expulsion
Bryant, Matt – Association for Institutional Research, 2021
Survey methodology is the dominant approach among universities in the United States for reporting employment outcomes for recent graduates. However, past studies have shown that survey methodology may yield upwardly biased results, which can result in overreporting of employment rates and salary outcomes. This case study describes the development…
Descriptors: Data Collection, Data Use, Labor Force, Institutional Research
National Forum on Education Statistics, 2021
"The Forum Guide to Strategies for Education Data Collection and Reporting (SEDCAR)" was created to provide timely and useful best practices for education agencies that are interested in designing and implementing a strategy for data collection and reporting, focusing on these as key elements of the larger data process. It builds upon…
Descriptors: Data Collection, Educational Research, Statistical Data, Data Analysis
Alex J. Bowers – Grantee Submission, 2021
Educators globally are continually encouraged to use data to inform instructional improvement in schools, yet while there have been many recent innovations in data visualization and data science, educators are rarely included in dashboard co-design. On December 5 and 6, 2019, the Education Data Analytics Collaborative Workshop was held at Teachers…
Descriptors: Visual Aids, Evidence Based Practice, Data Use, Decision Making

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