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Michelle Cheong – Journal of Computer Assisted Learning, 2025
Background: Increasingly, students are using ChatGPT to assist them in learning and even completing their assessments, raising concerns of academic integrity and loss of critical thinking skills. Many articles suggested educators redesign assessments that are more 'Generative-AI-resistant' and to focus on assessing students on higher order…
Descriptors: Artificial Intelligence, Performance Based Assessment, Spreadsheets, Models
Jonathan Seiden – Annenberg Institute for School Reform at Brown University, 2025
Direct assessments of early childhood development (ECD) are a cornerstone of research in developmental psychology and are increasingly used to evaluate programs and policies in lower- and middle-income countries. Despite strong psychometric properties, these assessments are too expensive and time consuming for use in large-scale monitoring or…
Descriptors: Young Children, Child Development, Performance Based Assessment, Developmental Psychology
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Lars Andersson Hult; Anders Persson – Journal of Social Science Education, 2025
Purpose: This article's purpose is to examine the manifestations of the evolving modern society and what we now identify as civics or other contemporary social issues in the final examination questions from 1914 to 1937 at four teacher education institutions in Uppsala, Falun, Lund, and Landskrona. Design/methodology/approach: The method can be…
Descriptors: Civics, Tests, Preservice Teacher Education, Test Items
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Paul Kim; Wilson Wang; Curtis J. Bonk – Journal of Educational Computing Research, 2025
Following the launch of the generative AI Web application, Ask.SMILE, designed to evaluate the cognitive levels of questions asked, 2559 educators generated 25,973 question-feedback sets over a three-month period, with an average of over 10 questions per participant. Analyses revealed a significant improvement in question quality from initial…
Descriptors: Artificial Intelligence, Technology Uses in Education, Test Wiseness, Test Items
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Neda Kianinezhad; Mohsen Kianinezhad – Language Education & Assessment, 2025
This study presents a comparative analysis of classical reliability measures, including Cronbach's alpha, test-retest, and parallel forms reliability, alongside modern psychometric methods such as the Rasch model and Mokken scaling, to evaluate the reliability of C-tests in language proficiency assessment. Utilizing data from 150 participants…
Descriptors: Psychometrics, Test Reliability, Language Proficiency, Language Tests
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Valéria Švecová; Marta Balgová; Veronika Uhríková – Athens Journal of Education, 2025
Through creative thinking, it is possible to acquire new attitudes and a view of the world, not only of mathematics but from several sides (Kamp, 2016). Creativity in mathematics can be defined as a process based on sensitivity to problems, deficiencies, gaps in knowledge and sensitivity to identifying missing elements, revealing difficulties in…
Descriptors: Critical Thinking, Creativity, Mathematics Instruction, Problem Solving
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Rekha; Shakeela K. – Journal on School Educational Technology, 2025
The main objective of the present study was to construct and standardize an achievement test in science for the secondary school science students in grade 8. An achievement test having 120 test items was prepared by the facilitator based on the four main learning objectives of teaching science that are knowledge, understanding, application, and…
Descriptors: Test Construction, Standardized Tests, Secondary School Students, Science Achievement
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Akif Avcu – International Journal of Psychology and Educational Studies, 2025
This review explores the significant contributions of Rasch modeling in enhancing classroom assessment practices, particularly in measuring student attitudes. Classroom assessment has evolved from standardized testing to integrative practices that emphasize both academic and affective dimensions of student development. Accurate attitude…
Descriptors: Item Response Theory, Student Attitudes, Student Evaluation, Attitude Measures
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Katarina E. Schaefer; Sara J. Finney – Research & Practice in Assessment, 2025
Some college students may be disengaged when completing assessments for institutional accountability and improvement. If disengagement is not identified and the resulting data are removed, the validity of score interpretations suffers. Using data gathered from students who completed non-consequential assessments for institutional accountability,…
Descriptors: College Students, Student Evaluation, Accountability, Student Behavior
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Jun-ichiro Yasuda; Michael M. Hull; Naohiro Mae; Kentaro Kojima – Physical Review Physics Education Research, 2025
Although conceptual assessment tests are commonly administered at the beginning and end of a semester, this pre-post approach has inherent limitations. Specifically, education researchers and instructors have limited ability to observe the progression of students' conceptual understanding throughout the course. Furthermore, instructors are limited…
Descriptors: Computer Assisted Testing, Adaptive Testing, Science Tests, Scientific Concepts
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Stephanie M. Bell; R. Philip Chalmers; David B. Flora – Educational and Psychological Measurement, 2024
Coefficient omega indices are model-based composite reliability estimates that have become increasingly popular. A coefficient omega index estimates how reliably an observed composite score measures a target construct as represented by a factor in a factor-analysis model; as such, the accuracy of omega estimates is likely to depend on correct…
Descriptors: Influences, Models, Measurement Techniques, Reliability
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David G. Schreurs; Jaclyn M. Trate; Shalini Srinivasan; Melonie A. Teichert; Cynthia J. Luxford; Jamie L. Schneider; Kristen L. Murphy – Chemistry Education Research and Practice, 2024
With the already widespread nature of multiple-choice assessments and the increasing popularity of answer-until-correct, it is important to have methods available for exploring the validity of these types of assessments as they are developed. This work analyzes a 20-question multiple choice assessment covering introductory undergraduate chemistry…
Descriptors: Multiple Choice Tests, Test Validity, Introductory Courses, Science Tests
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Hwanggyu Lim; Kyung T. Han – Educational Measurement: Issues and Practice, 2024
Computerized adaptive testing (CAT) has gained deserved popularity in the administration of educational and professional assessments, but continues to face test security challenges. To ensure sustained quality assurance and testing integrity, it is imperative to establish and maintain multiple stable item pools that are consistent in terms of…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Item Banks
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Zachary K. Collier; Minji Kong; Olushola Soyoye; Kamal Chawla; Ann M. Aviles; Yasser Payne – Journal of Educational and Behavioral Statistics, 2024
Asymmetric Likert-type items in research studies can present several challenges in data analysis, particularly concerning missing data. These items are often characterized by a skewed scaling, where either there is no neutral response option or an unequal number of possible positive and negative responses. The use of conventional techniques, such…
Descriptors: Likert Scales, Test Items, Item Analysis, Evaluation Methods
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Youmi Suk; Kyung T. Han – Journal of Educational and Behavioral Statistics, 2024
As algorithmic decision making is increasingly deployed in every walk of life, many researchers have raised concerns about fairness-related bias from such algorithms. But there is little research on harnessing psychometric methods to uncover potential discriminatory bias inside decision-making algorithms. The main goal of this article is to…
Descriptors: Psychometrics, Ethics, Decision Making, Algorithms
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