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Allen, Ray; Ferkel, Rick; Fisher, Kevin; Wawersik, Andrew – Journal of Physical Education, Recreation & Dance, 2022
The purpose of this paper is to present an assessment system that enables physical education programs to collect data capable of meeting their assessment. Assessment at the elementary level is a daunting task. Practitioners are charged to teach multiple objectives across all learning domains to hundreds of students in multiple grades in a limited…
Descriptors: Physical Education, Educational Assessment, Data Collection, Elementary School Teachers
Center for IDEA Early Childhood Data Systems (DaSy), 2022
The purpose of the DaSy Data System Framework (referred to as DaSy framework) is to assist Part C (Early Intervention) and Part B (School-Aged) 619 programs in developing and enhancing high-quality state data systems for the collection, analysis, reporting, and use of their Individuals with Disabilities Education Act (IDEA) data. The DaSy…
Descriptors: Educational Legislation, Federal Legislation, Equal Education, Students with Disabilities
Data Quality Campaign, 2022
Each year, state legislators craft new policies that drive data use across their states, and as part of a comprehensive review of state education data legislation, the Data Quality Campaign (DQC) keeps track. In 2022, state legislators introduced 131 bills in 35 states--42 of which became law in 17 states-- that would govern the use of data along…
Descriptors: Privacy, State Legislation, Student Records, Confidentiality
Pope, Alexis S.; Davies, Susan – Strategic Enrollment Management Quarterly, 2020
As the competition for student enrollment has increased over the past several years, the pressure on the enrollment manager has increased proportionally. Managing enrollment expectations for institutional stakeholders requires effective communication, leadership, and the sharing of data with effective context. This article provides guidance on how…
Descriptors: Enrollment Management, College Administration, Administrators, Stakeholders
Lottridge, Sue; Burkhardt, Amy; Boyer, Michelle – Educational Measurement: Issues and Practice, 2020
In this digital ITEMS module, Dr. Sue Lottridge, Amy Burkhardt, and Dr. Michelle Boyer provide an overview of automated scoring. Automated scoring is the use of computer algorithms to score unconstrained open-ended test items by mimicking human scoring. The use of automated scoring is increasing in educational assessment programs because it allows…
Descriptors: Computer Assisted Testing, Scoring, Automation, Educational Assessment
Vartiainen, Henriikka; Tedre, Matti; Kahila, Juho; Valtonen, Teemu – Educational Media International, 2020
While much has been written about the personal, social, and democratic benefits of networked communities and participatory learning, critics have begun to draw attention to the ubiquitous data collection and computational processes behind mass user platforms. Personal and behavioral data have become valuable material for statistical and machine…
Descriptors: Social Networks, Participation, Artificial Intelligence, Ethics
Sullivan, Alice – International Journal of Social Research Methodology, 2020
The UK census authorities have proposed guidance for the 2021 census indicating that the sex question may be answered according to subjective gender identity. This raises issues about the measurement of sex and gender identity which other data collection exercises are also contending with. This paper addresses the questions that have arisen…
Descriptors: Foreign Countries, National Surveys, Census Figures, Test Items
Wise, Alyssa Friend – Journal of the Learning Sciences, 2020
This article discusses how each of the papers in this special issue explored some combination of subject, audience, and data scientist perspectives with an eye toward helping students situate their relationship to data. Specifically, within the data scientist perspective, the papers examined a variety of ways in which students can relate to data…
Descriptors: Data, Information Science Education, Multiple Literacies, Relationship
Gray, Cameron C.; Perkins, Dave; Ritsos, Panagiotis D. – Assessment & Evaluation in Higher Education, 2020
The field of learning analytics is progressing at a rapid rate. New tools, with ever-increasing number of features and a plethora of datasets that are increasingly utilized demonstrate the evolution and multifaceted nature of the field. In particular, the depth and scope of insight that can be gleaned from analysing related datasets can have a…
Descriptors: Educational Research, Data Collection, Data Analysis, Visual Aids
Kane, Maggie; King, Carlise – Early Childhood Data Collaborative, 2020
While home visiting services are an important component of the early childhood (EC) landscape, few states include home visiting data in their early childhood integrated data systems (ECIDS). An ECIDS links together data from different early care and education programs to generate data used to support program and policy decisions. One reason for…
Descriptors: Home Visits, Early Intervention, Young Children, Data Collection
Hollands, Fiona; Kushner, Anna – Phi Delta Kappan, 2021
Making evidence-based decisions in schools seems like an impossible task when hundreds of activities are available, the evidence base fails to address most of them, and budget deadlines are immovable. In addition, different stakeholders hold different views on what it means for a program, strategy, or intervention to "work." Fiona…
Descriptors: Evidence Based Practice, Decision Making, Cost Effectiveness, Program Implementation
Danible, Kaitlin; Panizza, Chloe; Boushey, Carol; Kerr, Deborah; Zhu, Fengqing; Banna, Jinan C. – Journal of Extension, 2021
The mobile food record™ (mFR™) is a novel app that allows for the tracking of individual food waste and addresses the limitations of current methods to accurately quantify food waste. Extension educators may use data from the mFR™ to create educational initiatives for food waste prevention and education that may be implemented in settings such as…
Descriptors: Food, Measurement, Computer Oriented Programs, Extension Education
Jia, Yuchen; Zhang, Limei – International Journal of Educational Technology in Higher Education, 2021
With the development of information technology and the advent of Massive Open Online Course (MOOC) and Small Private Online Course (SPOC), various online courses which include a lot of new resources and new teaching methods have appeared. The application of advanced teaching resources and educational concepts can improve students' learning…
Descriptors: Online Courses, Small Group Instruction, Blended Learning, Teaching Methods
National College Attainment Network, 2021
Tracking and using data to inform decisions pays off for college success programs on multiple levels. Having data allows program staff to monitor the progress of individual students and tailor support to their particular needs. It enables staff to understand the effectiveness of program activities and make improvements as necessary. Most…
Descriptors: College Programs, Success, Data Collection, Data Analysis
Canadian Association of University Teachers, 2021
With Canadian Association of University Teachers (CAUT) members on the front lines of teaching and research across the country, they are uniquely placed as active participants and keen observers of Canada's postsecondary education system. CAUT bring an informed assessment of what it needs to better help drive Canada's post-pandemic social,…
Descriptors: Foreign Countries, Postsecondary Education, Educational Development, Educational Strategies