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Ildiko Porter-Szucs; Cynthia J. Macknish; Suzanne Toohey – John Wiley & Sons, Inc, 2025
"A Practical Guide to Language Assessment" helps educators at every level redefine their approach to language assessment. Grounded in extensive research and aligned with the latest advances in language education, this comprehensive guide introduces foundational concepts and explores key principles in test development and item writing.…
Descriptors: Student Evaluation, Language Tests, Test Construction, Test Items
Renáta Kiss; Beno Csapó – International Journal of Early Childhood, 2025
Previous research has shown that phonological awareness is one of the most important prerequisites for early reading. Monitoring its development requires reliable, easy-to-use instruments especially in the last years of kindergarten. The present study aims to explore the potential for assessing phonological awareness and some of its subskills…
Descriptors: Phonological Awareness, Kindergarten, Reading Skills, Student Evaluation
Manoj Patil; Abhay Gaidhane; Zahiruddin Quazi Syed – Journal of Education Human Resources, 2025
The recruitment and selection process are two of the most important human resource functions having a great impact on the growth and success of an organization as compared to other tasks such as retention, onboarding, leadership development, and managing talent. Stepping Stones is a project for scaling the early childhood development of children…
Descriptors: Personnel Selection, Recruitment, Public Health, Young Children
Luyang Fang; Gyeonggeon Lee; Xiaoming Zhai – Journal of Educational Measurement, 2025
Machine learning-based automatic scoring faces challenges with imbalanced student responses across scoring categories. To address this, we introduce a novel text data augmentation framework that leverages GPT-4, a generative large language model specifically tailored for imbalanced datasets in automatic scoring. Our experimental dataset consisted…
Descriptors: Computer Assisted Testing, Artificial Intelligence, Automation, Scoring
Asma M. Abumalik; Fatmah A. Alqahtani – Eurasian Journal of Applied Linguistics, 2024
Testing is an effective method to determine learning outcomes for knowledge and skills learning domains. The aim of this study was to examine the differences in test achievements among 50 Saudi female English major students at the College of Languages at Princess Nourah University in Riyadh. The tests were administered using two different methods:…
Descriptors: Testing, Conventional Instruction, Computer Assisted Testing, Females
Wyse, Adam E.; McBride, James R. – Measurement: Interdisciplinary Research and Perspectives, 2022
A common practical challenge is how to assign ability estimates to all incorrect and all correct response patterns when using item response theory (IRT) models and maximum likelihood estimation (MLE) since ability estimates for these types of responses equal -8 or +8. This article uses a simulation study and data from an operational K-12…
Descriptors: Scores, Adaptive Testing, Computer Assisted Testing, Test Length
Ghio, Fernanda Belén; Bruzzone, Manuel; Rojas-Torres, Luis; Cupani, Marcos – European Journal of Science and Mathematics Education, 2022
In the last decades, the development of computerized adaptive testing (CAT) has allowed more precise measurements with a smaller number of items. In this study, we develop an item bank (IB) to generate the adaptive algorithm and simulate the functioning of CAT to assess the domains of mathematical knowledge in Argentinian university students…
Descriptors: Test Items, Item Banks, Adaptive Testing, Mathematics Tests
Cole, Shelbi K.; Swanson, Carey – Smarter Balanced Assessment Consortium, 2022
Over the past few years, several states have begun to explore or pilot different through-year assessments to serve as replacements to the traditional end-of-year summative assessments that are currently the predominant source of information used by states to meet federal accountability requirements. While there are several different assessment…
Descriptors: Instructional Materials, Computer Assisted Testing, Adaptive Testing, Student Evaluation
Steven J. Carter; Matthew P. Wilcox; Neil J. Anderson – Reading in a Foreign Language, 2023
This research presents a novel reading fluency (rf) measurement formula that accounts for both reading rate and comprehension. Possible formulas were investigated with 68 participants in a strategic reading course in an IEP at a small Pacific Island university. The selected formula's scores demonstrated concurrent validity through strong…
Descriptors: Second Language Learning, Silent Reading, Reading Fluency, Reading Comprehension
Ramnarain-Seetohul, Vidasha; Bassoo, Vandana; Rosunally, Yasmine – Education and Information Technologies, 2022
In automated essay scoring (AES) systems, similarity techniques are used to compute the score for student answers. Several methods to compute similarity have emerged over the years. However, only a few of them have been widely used in the AES domain. This work shows the findings of a ten-year review on similarity techniques applied in AES systems…
Descriptors: Computer Assisted Testing, Essays, Scoring, Automation
Ingrisone, Soo Jeong; Ingrisone, James N. – Educational Measurement: Issues and Practice, 2023
There has been a growing interest in approaches based on machine learning (ML) for detecting test collusion as an alternative to the traditional methods. Clustering analysis under an unsupervised learning technique appears especially promising to detect group collusion. In this study, the effectiveness of hierarchical agglomerative clustering…
Descriptors: Identification, Cooperation, Computer Assisted Testing, Artificial Intelligence
Alhadi, Moosa; Zhang, Dake; Wang, Ting; Maher, Carolyn A. – Computers in the Schools, 2023
This research synthesizes studies that used a Digitalized Interactive Component (DIC) to assess K-12 student performance during Computer-based-Assessments (CBAs) in mathematics. A systematic search identified ten studies, including four that provided language assistance and six that provided response-construction support. We reported on the one…
Descriptors: Computer Assisted Testing, Mathematics Tests, Student Evaluation, Elementary Secondary Education
Gilbert, Kacey; Benson, Nicholas F.; Kranzler, John H. – Contemporary School Psychology, 2023
Despite the fact that the digital administration format of Wechsler Intelligence Scale for Children-Fifth Edition (WISC-V) was published in 2016, no research to date has examined its factor structure using all 10 of the primary subtests to measure intellectual ability. The purpose of this study, therefore, was to use exploratory and confirmatory…
Descriptors: Computer Assisted Testing, Children, Intelligence Tests, Factor Structure
Xiong, Yao; Schunn, Christian D.; Wu, Yong – Journal of Computer Assisted Learning, 2023
Background: For peer assessment, reliability (i.e., consistency in ratings across peers) and validity (i.e., consistency of peer ratings with instructors or experts) are frequently examined in the research literature to address a central concern of instructors and students. Although the average levels are generally promising, both reliability and…
Descriptors: Peer Evaluation, Computer Assisted Testing, Test Reliability, Test Validity
Zinovy Radovilsky; Vishwanath Hegde – Curriculum and Teaching, 2023
The issues of academic integrity across online and in-person assessments were addressed by analyzing student total, conceptual, and numerical performance scores in the three modes of assessment: (1) In-person assessment with proctoring; (2) Online unproctored assessment; and (3) Respondus assessment online with proctoring. It was identified that…
Descriptors: Academic Achievement, Educational Technology, Computer Assisted Testing, Evaluation

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