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Pastor, Dena; Love, Paula – Intersection: A Journal at the Intersection of Assessment and Learning, 2020
For more than 30 years, James Madison University (JMU) has used Assessment Days to collect longitudinal data on student learning outcomes. Our model ensures that all incoming students are tested twice: once in August before beginning classes and again in February after accumulating 45-70 credit hours (Pastor, Foelber, Jacovidis, Fulcher &…
Descriptors: Student Evaluation, COVID-19, Pandemics, Evaluation Methods
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Bergner, Yoav; von Davier, Alina A. – Journal of Educational and Behavioral Statistics, 2019
This article reviews how National Assessment of Educational Progress (NAEP) has come to collect and analyze data about cognitive and behavioral processes (process data) in the transition to digital assessment technologies over the past two decades. An ordered five-level structure is proposed for describing the uses of process data. The levels in…
Descriptors: National Competency Tests, Data Collection, Data Analysis, Cognitive Processes
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Wise, Steven L. – Education Inquiry, 2019
A decision of whether to move from paper-and-pencil to computer-based tests is based largely on a careful weighing of the potential benefits of a change against its costs, disadvantages, and challenges. This paper briefly discusses the trade-offs involved in making such a transition, and then focuses on a relatively unexplored benefit of…
Descriptors: Computer Assisted Testing, Cheating, Test Wiseness, Scores
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Han, Yong; Wu, Wenjun; Ji, Suozhao; Zhang, Lijun; Zhang, Hui – International Educational Data Mining Society, 2019
Peer-grading is commonly adopted by instructors as an effective assessment method for MOOCs (Massive Open Online Courses) and SPOCs (Small Private online course). For solving the problems brought by varied skill levels and attitudes of online students, statistical models have been proposed to improve the fairness and accuracy of peer-grading.…
Descriptors: Peer Evaluation, Grading, Online Courses, Computer Assisted Testing
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Wudthayagorn, Jirada; Piamsai, Chatraporn; Thanompongchart, Phasphan – PASAA: Journal of Language Teaching and Learning in Thailand, 2022
In Thailand, a series of policies have been implemented at all levels of Thai education. It is hoped that English language ability among Thai citizens will be improved. In primary education, following the English language education policy for primary school students introduced by the Office of Basic Education Commission (2016), English has been…
Descriptors: Language Proficiency, Language Tests, Computer Assisted Testing, Rating Scales
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Dolowitz, Annetta; Collier, Jessica; Hayes, Aleshia; Kumsal, Cem – TechTrends: Linking Research and Practice to Improve Learning, 2023
This case study details microlearning content development, testing, and implementation of the NATO Headquarters Supreme Allied Command Transformation (HQ SACT) e-Learning Networking App (NeNA) conducted by an AECT microlearning consulting team. NeNA was designed to provide microlearning "just-in-time" content, to create socialization…
Descriptors: Case Studies, Computer Software, Armed Forces, International Organizations
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Tan, Kim Chwee Daniel; Lim, Xin Ying; Talbot, Christopher David – School Science Review, 2021
Online multiple-choice instruments to diagnose students' understanding of science concepts are easily developed and administered to students using Google Forms. This article describes a web-based three-tier multiple-choice test for the formative assessment of students' understanding of chemical bonding. The results obtained can lead to follow-up…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Science Tests, Scientific Concepts
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Stephen G. Sireci; Javier Suárez-Álvarez; April L. Zenisky; Maria Elena Oliveri – Educational Measurement: Issues and Practice, 2024
The goal in personalized assessment is to best fit the needs of each individual test taker, given the assessment purposes. Design-in-Real-Time (DIRTy) assessment reflects the progressive evolution in testing from a single test, to an adaptive test, to an adaptive assessment "system." In this article, we lay the foundation for DIRTy…
Descriptors: Educational Assessment, Student Needs, Test Format, Test Construction
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Madsen, Adrian; McKagan, Sarah B.; Sayre, Eleanor C. – Physics Teacher, 2020
Physics faculty care about their students learning physics content. In addition, they usually hope that their students will learn some deeper lessons about thinking critically and scientifically. They hope that as a result of taking a physics class, students will come to appreciate physics as a coherent and logical method of understanding the…
Descriptors: Science Instruction, Physics, Student Surveys, Student Attitudes
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Gyll, Sean P. – AERA Online Paper Repository, 2020
Simulated testing has become more prevalent in higher education, especially as competency-based institutions begin to incorporate micro-credentials and skills certificates into their curriculum. Competency-based assessment falls outside traditional norm-based testing practices used in K-12 education, and is largely focused on criterion referenced…
Descriptors: Competency Based Education, Evaluation Methods, Knowledge Level, Measurement
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Krzic, Maja; Brown, Sandra – Natural Sciences Education, 2022
The transition of our large ([approximately]300 student) introductory soil science course to the online setting created several challenges, including engaging first- and second-year students, providing meaningful hands-on learning activities, and setting up online exams. The objective of this paper is to describe the development and use of…
Descriptors: Introductory Courses, Social Sciences, Online Courses, Educational Change
Center on Standards and Assessments Implementation, 2019
Computerized adaptive testing (CAT), which was first developed four decades ago, begins with a large pool of questions and then selects individual questions for test takers, depending on their responses as they progress. As the test taker answers questions correctly, the questions become more difficult. As the test taker answers incorrectly, the…
Descriptors: Computer Assisted Testing, Adaptive Testing, Item Banks, Barriers
Ben Erwin; Shayna Levitan – Education Commission of the States, 2024
Summative assessments measure students' mastery of grade-level academic standards and skills in specific content areas after learning. State summative assessment systems provide students and families, school and district leaders, and state policymakers with valuable data to help understand student progress and school quality. This Policy Guide…
Descriptors: Summative Evaluation, Student Evaluation, Federal State Relationship, Public Policy
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Baxter, Jacqueline – Management in Education, 2021
Dr. Tracey Burns is a Senior Analyst in the OECD's Centre for Educational Research and Innovation. She heads a portfolio of projects including Innovative Teaching for Effective Learning, 21st Century Children and Trends Shaping Education. Until recently she was also responsible for the OECD work on Governing Complex Education systems. Previous to…
Descriptors: COVID-19, Pandemics, Coping, Crisis Management
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Campbell, Anita L.; Craig, Tracy S.; Mofolo-Mbokane, Batseba; Padayachee, Pragashni – International Journal of Mathematical Education in Science and Technology, 2022
We are four academics teaching mathematics at three different higher education institutions over two continents. Through fortnightly meetings to research how our practices changed as a result of the COVID-19 lockdowns, we formed a community of practice. The process of articulating our experiences and ideas, and reflecting on the recorded meetings…
Descriptors: College Faculty, COVID-19, Pandemics, Communities of Practice
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