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Prakasha, G. S.; Hemalathaa, K. Y.; Tamizh, Ponni; Bhavna, Bhola; Kenneth, Anthony – Problems of Education in the 21st Century, 2021
Outbreak of COVID-19, online examination, and e-proctoring have caused more exam anxiety and affected exam performance among students' studying in International Baccalaureate (IB) Diploma Programme (DP). Therefore, the present research aimed to find effect of online test anxiety on academic performance of IBDP students in the subjects related to…
Descriptors: Computer Assisted Testing, Test Anxiety, Scores, Advanced Placement Programs
Harley, Jason M.; Lou, Nigel Mantou; Liu, Yang; Cutumisu, Maria; Daniels, Lia M.; Leighton, Jacqueline P.; Nadon, Lindsey – Assessment & Evaluation in Higher Education, 2021
Although the effectiveness and experiences of computer-based examinations is a widely investigated area of research, the question of whether and how computer-based assessment limits or heightens the experience of negative test emotions remains largely unexamined. Drawing from the control-value theory of achievement emotions, we investigated…
Descriptors: Psychological Patterns, Negative Attitudes, Computer Assisted Testing, Undergraduate Students
Missaoui, Siwar; Maalel, Ahmed – Education and Information Technologies, 2021
A student's profile defines the best way a student chooses to learn. It comprises information on student's characteristics such as background knowledge, learning style preference, goals, personality etc. The foremost challenge that the students experience in learning system is that they are unable to bring back relevant information based on their…
Descriptors: Profiles, Models, Computer Games, Cognitive Style
Fernandez, Oscar E. – PRIMUS, 2021
This article describes the synthesis of the research on mastery grading, growth mindsets, and testing for learning to produce a new grading system -- Second Chance Grading. The system and the research it is based on are described in detail. Reflections of the system's effectiveness, impact, and reception are also discussed. Finally, the appendix…
Descriptors: Grading, Mastery Learning, Intelligence, Beliefs
Jiang, Yang; Gong, Tao; Saldivia, Luis E.; Cayton-Hodges, Gabrielle; Agard, Christopher – Large-scale Assessments in Education, 2021
In 2017, the mathematics assessments that are part of the National Assessment of Educational Progress (NAEP) program underwent a transformation shifting the administration from paper-and-pencil formats to digitally-based assessments (DBA). This shift introduced new interactive item types that bring rich process data and tremendous opportunities to…
Descriptors: Data Use, Learning Analytics, Test Items, Measurement
Mausethagen, Sølvi; Prøitz, Tine S.; Skedsmo, Guri – Education Inquiry, 2021
In this article, we explore how values in education are negotiated and partly redefined by teachers, school leaders and local administrators with data use and accountability. Two dilemmas are prominent for the teachers: 1) Testing and data use are perceived as important to meet the needs of the students and to create transparency and initiating…
Descriptors: Values, Data Use, Accountability, Problems
Ranger, Jochen; Kuhn, Jörg-Tobias; Pohl, Steffi – Measurement: Interdisciplinary Research and Perspectives, 2021
The term speed-accuracy tradeoff is used when an increase in response speed comes at the expense of response accuracy. Although originally a concept from experimental psychology, the speed-accuracy tradeoff has been a topic in psychological assessment, too. In the first part of the manuscript, we discuss motivational factors that may be…
Descriptors: Item Response Theory, Reaction Time, Accuracy, Psychological Testing
Fazlul, Ishtiaque; Koedel, Cory; Parsons, Eric; Qian, Cheng – Thomas B. Fordham Institute, 2021
When the COVID-19 pandemic hit the U.S. last spring, schools nationwide shut their doors and states cancelled annual standardized tests. Now federal and state policymakers are debating whether to cancel testing again in 2021. One factor they should consider is whether a two-year gap in testing will make it impossible to measure student-level…
Descriptors: COVID-19, Pandemics, Academic Achievement, Achievement Gains
Wicks, Anne – George W. Bush Institute, Education Reform Initiative, 2021
State standardized exams help parents, educators, and policymakers understand which students are on track -- and who is falling behind -- so that the adults can intervene to meet the needs of all students. This information is more crucial than ever given that COVID-19 upended traditional schooling. This report's recommendations for federal and…
Descriptors: Student Evaluation, Standardized Tests, Testing, State Programs
Liotino, Marica; Fedeli, Monica; Garone, Anja; Knorn, Steffi; Varagnolo, Damiano; Garone, Emanuele – Commission for International Adult Education, 2021
Formally describing and assessing the difficulty of learning and teaching material is important for quality assurance in university teaching, for aligning teaching and learning activities, and for easing communications among stakeholders such as teachers and students. This paper proposes a novel taxonomy to describe and quantify the difficulty…
Descriptors: Taxonomy, Student Evaluation, Engineering Education, Student Projects
Education Commission of the States, 2021
School vouchers are state-funded programs--often called scholarship programs--that allow students to use public monies to attend a private school. The state provides a set amount of money, typically based on the state's per-pupil amount, for private school tuition. There are currently 27 voucher programs in 16 states and the District of Columbia.…
Descriptors: Educational Vouchers, State Programs, Scholarships, School Choice
Haberman, Shelby J.; Lee, Yi-Hsuan – ETS Research Report Series, 2017
In investigations of unusual testing behavior, a common question is whether a specific pattern of responses occurs unusually often within a group of examinees. In many current tests, modern communication techniques can permit quite large numbers of examinees to share keys, or common response patterns, to the entire test. To address this issue,…
Descriptors: Student Evaluation, Testing, Item Response Theory, Maximum Likelihood Statistics
Wang, Keyin – ProQuest LLC, 2017
The comparison of item-level computerized adaptive testing (CAT) and multistage adaptive testing (MST) has been researched extensively (e.g., Kim & Plake, 1993; Luecht et al., 1996; Patsula, 1999; Jodoin, 2003; Hambleton & Xing, 2006; Keng, 2008; Zheng, 2012). Various CAT and MST designs have been investigated and compared under the same…
Descriptors: Comparative Analysis, Computer Assisted Testing, Adaptive Testing, Test Items
Hernández, Ronald M.; Cáceres, Isaac Sanchez; Zarate Hermoza, Jesús Roberto; Coronado, Daniela Medina; Loli Poma, Telmo Pablo; Arévalo Gómez, Georgina Raquel – Journal of Educational Psychology - Propositos y Representaciones, 2019
The ways in which pedagogical practices have evolved and how to understand the teaching and learning process are different. With the use of the Internet, the sources of information and evaluation are amplified, and educational agents within virtual education play an important role, reflecting on a new paradigm of learning and knowledge…
Descriptors: Educational Technology, Technology Uses in Education, Internet, Evaluation Methods
Han, Kyung T.; Dimitrov, Dimiter M.; Al-Mashary, Faisal – Educational and Psychological Measurement, 2019
The "D"-scoring method for scoring and equating tests with binary items proposed by Dimitrov offers some of the advantages of item response theory, such as item-level difficulty information and score computation that reflects the item difficulties, while retaining the merits of classical test theory such as the simplicity of number…
Descriptors: Test Construction, Scoring, Test Items, Adaptive Testing

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