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Jairo A. Navarrete-Ulloa; David M. Gómez; Llery Ponce; Felipe Munoz-Rubke; Pablo R. Dartnell – Journal of Numerical Cognition, 2025
Improving early mathematical competence is a major priority worldwide; thus, assessing early math abilities is critical. Although various international standardized instruments serve this purpose, their usage in underdeveloped countries is prohibitive due to their resource-intensive requirements. In this report, we explore the development of the…
Descriptors: Mathematics Skills, Mathematics Instruction, Preschool Children, Preschool Education
Lumbini Barua; Barbara Lockee – TechTrends: Linking Research and Practice to Improve Learning, 2025
The article highlights the growing significance of flexible assessment in higher education as institutions adapt to the increasingly diverse needs of their student populations. The demand for customizable educational experiences, heightened by the COVID-19 pandemic, has made flexibility in assessment essential for sustaining and improving student…
Descriptors: College Faculty, College Students, Adaptive Testing, Alternative Assessment
Ying Xu; Xiaodong Li; Jin Chen – Language Testing, 2025
This article provides a detailed review of the Computer-based English Listening Speaking Test (CELST) used in Guangdong, China, as part of the National Matriculation English Test (NMET) to assess students' English proficiency. The CELST measures listening and speaking skills as outlined in the "English Curriculum for Senior Middle…
Descriptors: Computer Assisted Testing, English (Second Language), Language Tests, Listening Comprehension Tests
Abbas Poursalim – International Journal of Modern Education Studies, 2025
This study investigates the role of educational technology, including artificial intelligence (AI), in improving learning outcomes and addressing the complexities of multi-grade classrooms. A qualitative research method based on the analysis of scientific papers was employed. The findings of the study include an examination of the role of AI in…
Descriptors: Educational Technology, Technology Uses in Education, Artificial Intelligence, Mixed Age Grouping
Lam Ky Nhan – Turkish Online Journal of Distance Education, 2025
This study investigates the impact of artificial intelligence (AI) on personalized learning, automated assessment and feedback, intelligent tutoring systems, and student engagement in online learning environments. The research focuses on fourth-year English major students at a university in the Mekong Delta region, utilizing a mixed-methods…
Descriptors: Artificial Intelligence, Individualized Instruction, Automation, Computer Assisted Testing
Elif Tuna Pusa; Serkan Dinçer – SAGE Open, 2025
This meta-synthesis study examines the use of digital assessment tools in education, focusing on their prevalence, benefits, limitations, and recommendations for effective integration into teaching processes. Based on 41 empirical studies published between December 2012 and January 2023, this study follows the thematic synthesis approach proposed.…
Descriptors: Student Evaluation, Portfolio Assessment, Electronic Publishing, Computer Assisted Testing
Collin Shepley; Anthony Setari; Amanda Leigh Duncan; Emily Webb – Assessment for Effective Intervention, 2025
Ongoing professional development is a critical component of high-quality early childhood education systems. To guide the content of such professional development, teacher and classroom quality assessments are often used. These assessments generally address universal or tier 1 instruction but omit information to guide teachers' practices to support…
Descriptors: Test Validity, Computer Assisted Testing, Teacher Evaluation, Performance Based Assessment
Reed, Deborah K.; Stevenson, Nathan; LeBeau, Brandon C. – Elementary School Journal, 2019
This study investigated the effects of imposing task- or process-oriented reading behaviors on reading comprehension assessment performance. Students in grades 5-8 (N = 275) were randomly assigned to hear multiple-choice items read aloud before or after reading a test passage and when they were and were not allowed access to the passage while…
Descriptors: Reading Comprehension, Reading Tests, Multiple Choice Tests, Reading Aloud to Others
Gu, Lixiong; Ling, Guangming; Qu, Yanxuan – ETS Research Report Series, 2019
Research has found that the "a"-stratified item selection strategy (STR) for computerized adaptive tests (CATs) may lead to insufficient use of high a items at later stages of the tests and thus to reduced measurement precision. A refined approach, unequal item selection across strata (USTR), effectively improves test precision over the…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Use, Test Items
Gauthier, Andrea; Jantzen, Stuart; McGill, Gaël; Jenkinson, Jodie – CBE - Life Sciences Education, 2019
This paper discusses the results of two experiments assessing undergraduate students' beliefs about the random nature of molecular environments. Experiment 1 involved the implementation of a pilot adaptive assessment (n = 773) and focus group discussions with undergraduate students enrolled in first- through third-year biology courses; experiment…
Descriptors: Molecular Biology, Undergraduate Students, Student Attitudes, Misconceptions
Tikhomirova, Tatiana; Malykh, Artem; Lysenkova, Irina; Kuzmina, Yulia; Malykh, Sergey – British Journal of Educational Psychology, 2023
Background: Number line accuracy (NL accuracy) shows improvement over the course of a school education. However, there are practically no cross-country longitudinal studies of NL accuracy over the whole course of elementary school. Aims: This study investigated the developmental trajectories of NL accuracy and its types across the elementary…
Descriptors: Number Concepts, Accuracy, Elementary School Mathematics, Elementary School Students
Pengelley, James; Whipp, Peter R.; Rovis-Hermann, Nina – Educational Psychology Review, 2023
The aim of the present study is to reconcile previous findings (a) that testing mode has no effect on test outcomes or cognitive load (Comput Hum Behav 77:1-10, 2017) and (b) that younger learners' working memory processes are more sensitive to computer-based test formats (J Psychoeduc Assess 37(3):382-394, 2019). We addressed key methodological…
Descriptors: Scores, Cognitive Processes, Difficulty Level, Secondary School Students
Frankowski, Scott D. – Teaching of Psychology, 2023
Introduction: Undergraduate research experiences prepare students for graduate training or employment. Statement of problem: At many teaching-intensive universities, there is a greater demand for research experiences than there are independent study opportunities. Students from typically underrepresented backgrounds may also be unaware of a…
Descriptors: Psychological Studies, Science Education, Shared Resources and Services, Undergraduate Students
Sükür, Murat; Yilmaz-Yakisik, Burçak; Yangin-Eksi, Gonca – Journal of Theoretical Educational Science, 2023
Research on dynamic assessment (DA) has been conducted on the efficiency of either face-to-face (F2F) or mobile-assisted (MA) DA sessions. However, studies investigating the difference between these sessions conducted in the foreign language learning context are scarce. Thus, this study aims to explore the differences between F2F- and MA-DA…
Descriptors: Alternative Assessment, Computer Assisted Testing, Second Language Learning, College Students
Almusharraf, Norah; Alotaibi, Hind – Technology, Knowledge and Learning, 2023
Evaluating written texts is believed to be a time-consuming process that can lack consistency and objectivity. Automated essay scoring (AES) can provide solutions to some of the limitations of human scoring. This research aimed to evaluate the performance of one AES system, Grammarly, in comparison to human raters. Both approaches' performances…
Descriptors: Writing Evaluation, Writing Tests, Essay Tests, Essays

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