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John N. Dyer – Journal of Instructional Pedagogies, 2023
Businesses and other organizations across the globe are becoming more and more data-driven, using a combination of descriptive, diagnostic, predictive and prescriptive analytics to gain a strategic advantage through understanding the past, what we hope to happen in the future, and the ability to accurately predict future outcomes. These forms of…
Descriptors: Data Analysis, Business, Business Administration Education, Information Literacy
Baldwin, Peter; Clauser, Brian E. – Journal of Educational Measurement, 2022
While score comparability across test forms typically relies on common (or randomly equivalent) examinees or items, innovations in item formats, test delivery, and efforts to extend the range of score interpretation may require a special data collection before examinees or items can be used in this way--or may be incompatible with common examinee…
Descriptors: Scoring, Testing, Test Items, Test Format
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
Rotou, Ourania; Rupp, André A. – ETS Research Report Series, 2020
This research report provides a description of the processes of evaluating the "deployability" of automated scoring (AS) systems from the perspective of large-scale educational assessments in operational settings. It discusses a comprehensive psychometric evaluation that entails analyses that take into consideration the specific purpose…
Descriptors: Computer Assisted Testing, Scoring, Educational Assessment, Psychometrics
Rupp, André A. – Applied Measurement in Education, 2018
This article discusses critical methodological design decisions for collecting, interpreting, and synthesizing empirical evidence during the design, deployment, and operational quality-control phases for automated scoring systems. The discussion is inspired by work on operational large-scale systems for automated essay scoring but many of the…
Descriptors: Design, Automation, Scoring, Test Scoring Machines
Barlow, Sarah – Australian Journal of Music Education, 2018
Education in Australia is driven by measurement of progress. Music education, however, requires students to engage in creative and experiential tasks. This article will address the inevitable conflicts between these two by suggesting that measurements of student work in fine detail can be made within a practical and engaging classroom without…
Descriptors: Student Evaluation, Learner Engagement, Music Education, Foreign Countries
Guenter, Cris – National Art Education Association, 2019
The teaching performance expectations and assignments that preservice art teachers currently address in field experiences and in their coursework are designed to help them meet the expectations of being a quality art educator in the 21st century. These assignments may be very different from the assignments that art educators had in their…
Descriptors: Data Use, Decision Making, Data Collection, Art Education
US Department of Education, 2015
Common Education Data Standards (CEDS) Version 4 introduced a common data vocabulary for defining rubrics in a data system. The CEDS elements support digital representations of both holistic and analytic rubrics. This document shares examples of holistic and analytic project rubrics, available CEDS Connections, and a logical model showing the…
Descriptors: Standards, Scoring Rubrics, Evaluation Methods, Student Evaluation
Mezera, Danielle; Suffren, Quentin – Foundation for Excellence in Education (ExcelinEd), 2018
In its first (see ED609912) and second (see ED609958) Career and Technical Education (CTE) playbooks, ExcelinEd explored the importance of strengthening state CTE programs, provided a high-level view of how states can undertake this critical work, and illustrated the vital role that cross-sector partnerships play in developing robust CTE pathways.…
Descriptors: Audits (Verification), Program Evaluation, Vocational Education, Educational Quality
Mullis, Ina V. S., Ed.; Martin, Michael O., Ed.; von Davier, Matthias, Ed. – International Association for the Evaluation of Educational Achievement, 2021
TIMSS (Trends in International Mathematics and Science Study) is a long-standing international assessment of mathematics and science at the fourth and eighth grades that has been collecting trend data every four years since 1995. About 70 countries use TIMSS trend data for monitoring the effectiveness of their education systems in a global…
Descriptors: Achievement Tests, International Assessment, Science Achievement, Mathematics Achievement
New York State Education Department, 2018
This technical report provides detailed information regarding the technical, statistical, and measurement attributes of the New York State Testing Program (NYSTP) for the Grades 3-8 English Language Arts (ELA) and Mathematics 2018 Operational Tests. This report includes information about test content and test development, item (i.e., individual…
Descriptors: English, Language Arts, Language Tests, Mathematics Tests
New York State Education Department, 2017
This technical report provides detailed information regarding the technical, statistical, and measurement attributes of the New York State Testing Program (NYSTP) for the Grades 3-8 English Language Arts (ELA) and Mathematics 2017 Operational Tests. This report includes information about test content and test development, item (i.e., individual…
Descriptors: English, Language Arts, Language Tests, Mathematics Tests
Greenberg, Julie; Walsh, Kate; McKee, Arthur – National Council on Teacher Quality, 2014
The "NCTQ Teacher Prep Review" evaluates the quality of programs that provide preservice preparation of public school teachers. This appendix describes the scope, methodology, timeline, staff, and standards involved in the production of "Teacher Prep Review 2014." Data collection, validation, and analysis for the report are…
Descriptors: Teacher Education Programs, Preservice Teacher Education, Program Evaluation, Standards
Cornelius, Kyena E. – TEACHING Exceptional Children, 2013
Special educators are required to collect data on student progress and use it as formative data to inform instructional decisions. Being told to collect student data without being shown how to effectively and efficiently collect it, may cause teachers to become overwhelmed. This article provides three easy-to-use templates to facilitate quick data…
Descriptors: Formative Evaluation, Special Education, Eligibility, Individualized Education Programs
Hebert, Terri; Martin, Deb; Slattery, Tracy – Science and Children, 2014
The authors present a program where students and family members were involved in a taste-testing to select the items to be planted in the school's garden at Stephenson Elementary. A simple rubric of facial recognition is used. Smiles for the favorites; frowns for the disqualifiers. With the help of the school's leadership team consisting…
Descriptors: Science Instruction, Gardening, Elementary Schools, Experiential Learning

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