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Yang Shi; Robin Schmucker; Keith Tran; John Bacher; Kenneth Koedinger; Thomas Price; Min Chi; Tiffany Barnes – Journal of Educational Data Mining, 2024
Understanding students' learning of knowledge components (KCs) is an important educational data mining task and enables many educational applications. However, in the domain of computing education, where program exercises require students to practice many KCs simultaneously, it is a challenge to attribute their errors to specific KCs and,…
Descriptors: Programming Languages, Undergraduate Students, Learning Processes, Teaching Models
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Thelk, Amy D.; McGraw, Jillian P.; Hanel, Joel – Assessment Update, 2023
Following a set of state meetings held throughout fall 2020, the Virginia Education Assessment Collaborative (VEAC) decided to offer a mini-conference in November 2020 to round out offerings and to buttress conversation around topics of high need and interest to Educator Preparation Providers (EPPs). Leveraging the familiar process of the…
Descriptors: Stakeholders, Conferences (Gatherings), Videoconferencing, Teacher Education Programs
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Williford, Amanda; Downer, Jason; Miller-Bains, Kate; Conway, Jenna; Howard, Lisa – Future of Children, 2021
In this article, Amanda Williford, Jason Downer, Kate Miller-Bains, Jenna Conway, and Lisa Howard tell us how a university research center, an early education advocacy group, and a state department of education joined forces in a research-practice partnership to develop and implement a more comprehensive assessment of young Virginia children's…
Descriptors: Decision Making, Partnerships in Education, Early Childhood Education, Educational Research
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Osher, David; Neiman, Sam; Williamson, Sandra – State Education Standard, 2020
When done reliably and efficiently, measuring school climate can help improve schools' vital signs and help state boards of education realize their goals and objectives for the system as a whole. Moreover, because it is as consequential to schools as checking heart rates and blood pressure are to humans, schools should always use climate measures…
Descriptors: Educational Environment, Data Collection, Surveys, School Safety
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Cano, Alberto; Leonard, John D. – IEEE Transactions on Learning Technologies, 2019
Early warning systems have been progressively implemented in higher education institutions to predict student performance. However, they usually fail at effectively integrating the many information sources available at universities to make more accurate and timely predictions, they often lack decision-making reasoning to motivate the reasons…
Descriptors: Progress Monitoring, At Risk Students, Disproportionate Representation, Underachievement
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Vernier, Dave – Physics Teacher, 2017
In this article Dave Vernier describes how he turned the total eclipse on August 21, 2017 into a science, technology, engineering and mathematics (STEM) lesson by taking data. He asked teachers and former teachers to join in collecting data and to share it. The most frequently monitored parameters were illuminance (a measure of light brightness as…
Descriptors: Data Collection, Astronomy, STEM Education, Space Sciences
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Ferguson, Sarah – Mathematics Teaching in the Middle School, 2019
Building sets, video games, and scatterplots may seem unrelated, but when they are combined into a problem-based learning (PBL) lesson, these elements join to create a unique learning experience. PBL lessons drive instruction by focusing learning and activities around a central challenge or question while providing a relevant, captivating, and…
Descriptors: Mathematics Instruction, Teaching Methods, Problem Based Learning, Problem Solving
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Barret, Mandy; Branson, Lisa; Carter, Sheryl; DeLeon, Frank; Ellis, Justin; Gundlach, Cirrus; Lee, Dale – Inquiry, 2019
Artificial intelligence (AI) technology is becoming the basis for business. Most businesses use it to improve the customer experience. The education community is just beginning to find ways to successfully implement AI for staff and students. Artificial Intelligence should be leveraged to create a better student experience. For example, Elon…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Educational Opportunities
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Gola, Alice Ann H.; Burdg, Jinee – Journal of Child Nutrition & Management, 2018
The FNS Research Corner provides a continuing series to summarize recently completed and current research conducted by the U.S. Department of Agriculture's Food and Nutrition Service (FNS) in the area of child nutrition. Summaries of recently completed research projects and in-progress research are provided in this article.
Descriptors: Food, Nutrition, Lunch Programs, Program Evaluation
Flaherty, Bill – School Business Affairs, 2013
Data-mining systems provide a variety of opportunities for school district personnel to streamline operations and focus on student achievement. This article describes the value of data mining for school personnel, finance departments, teacher evaluations, and in the classroom. It suggests that much could be learned about district practices if one…
Descriptors: Data Collection, Information Management, Systems Approach, Information Utilization
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Hurney, Carol A.; Brantmeier, Edward J.; Good, Megan R.; Harrison, Douglas; Meixner, Cara – Journal of Faculty Development, 2016
Assessment is a cyclical process within which educators construct outcomes, implement programs, assess constructs such as learning, evaluate results, and utilize results to craft stronger programs and services. Within educational and faculty development, assessment measures program impact on faculty, students, and/or institutional culture.…
Descriptors: Faculty Development, Teacher Evaluation, Evaluation Methods, Evidence Based Practice
O'Leary, Keith – Facilities Manager, 2012
A growing number of educational institutions have discovered that a guided self-assessment solution helps them to consistently and cost-effectively obtain facility condition information and make better-informed capital planning decisions. Facility self-assessment employs a consistent, repeatable process for internal staff to quickly assess assets…
Descriptors: Self Evaluation (Groups), Educational Facilities, Educational Facilities Planning, Cost Effectiveness
Holton, Valerie L.; Jettner, Jennifer F.; Early, Jennifer L.; Shaw, Kathleen K. – Metropolitan Universities, 2015
Universities increasingly see community engagement as a means to achieve their mission. In order to assess the impact of these efforts, it is necessary to gather and analyze data from across the institution on community-engaged activities. This article presents a case study of Virginia Commonwealth University's efforts in developing enterprise…
Descriptors: Partnerships in Education, Colleges, Case Studies, School Community Relationship
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Martin, Sarah J.; Reed, Philip A. – International Journal of Adult Vocational Education and Technology, 2015
This study examined high school marketing education teachers' knowledge of workplace readiness skills and whether that knowledge had an impact on student workplace readiness skill achievement. Further, this study examined the usage of Virginia's 13 Workplace Readiness Skills curriculum and identified the teaching methods and instructional…
Descriptors: Alignment (Education), Career Readiness, Job Skills, Marketing
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Leonard, H. Skipton; Marquardt, Michael J. – Action Learning: Research and Practice, 2010
For the past 50 years, organizations and individuals around the world have reported success in their use of action learning programs to solve problems, develop leaders, build teams and transform their corporate cultures. However, very little rigorous research has been conducted to determine the effectiveness of action learning. The authors…
Descriptors: Conflict, Experiential Learning, Doctoral Dissertations, Program Effectiveness
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