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K. Talman; J. Vierula; T. Karihtala; E. Laakkonen; J. Engblom; E. Haavisto – Higher Education Quarterly, 2025
Higher education institutions need to develop valid, fair, and objective selection methods. Current literature reporting the development and validation of new national large-scale selection tests is scarce. This two-phased study aimed to (1) develop and (2) evaluate the validity of the Finnish digital Universities of Applied Sciences Entrance…
Descriptors: Admission Criteria, Test Construction, Test Validity, Computer Assisted Testing
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
Jyun-Hong Chen; Hsiu-Yi Chao – Journal of Educational and Behavioral Statistics, 2024
To solve the attenuation paradox in computerized adaptive testing (CAT), this study proposes an item selection method, the integer programming approach based on real-time test data (IPRD), to improve test efficiency. The IPRD method turns information regarding the ability distribution of the population from real-time test data into feasible test…
Descriptors: Data Use, Computer Assisted Testing, Adaptive Testing, Design
Ágnes Hódi; Edit Tóth – International Journal of Early Childhood, 2024
Phonological awareness plays a key role in learning to read; therefore, its assessment has received a lot of attention. Research in the domain of phonological awareness has been characterized by attempts to develop reliable and valid assessment tools for diverse populations. Over the past few decades, phonological awareness assessment has gone…
Descriptors: Phonological Awareness, Computer Assisted Testing, Hungarian, Native Language
Aditya Shah; Ajay Devmane; Mehul Ranka; Prathamesh Churi – Education and Information Technologies, 2024
Online learning has grown due to the advancement of technology and flexibility. Online examinations measure students' knowledge and skills. Traditional question papers include inconsistent difficulty levels, arbitrary question allocations, and poor grading. The suggested model calibrates question paper difficulty based on student performance to…
Descriptors: Computer Assisted Testing, Difficulty Level, Grading, Test Construction
Yi-Jui I. Chen; Yi-Jhen Wu; Yi-Hsin Chen; Robin Irey – Journal of Psychoeducational Assessment, 2025
A short form of the 60-item computer-based orthographic processing assessment (long-form COPA or COPA-LF) was developed. The COPA-LF consists of five skills, including rapid perception, access, differentiation, correction, and arrangement. Thirty items from the COPA-LF were selected for the short-form COPA (COPA-SF) based on cognitive diagnostic…
Descriptors: Computer Assisted Testing, Test Length, Test Validity, Orthographic Symbols
Osman Tat; Abdullah Faruk Kilic – Turkish Online Journal of Distance Education, 2024
The widespread availability of internet access in daily life has resulted in a greater acceptance of online assessment methods. E-assessment platforms offer various features such as randomizing questions and answers, utilizing extensive question banks, setting time limits, and managing access during online exams. Electronic assessment enables…
Descriptors: Test Construction, Test Validity, Test Reliability, Anxiety
Tahereh Firoozi; Hamid Mohammadi; Mark J. Gierl – Journal of Educational Measurement, 2025
The purpose of this study is to describe and evaluate a multilingual automated essay scoring (AES) system for grading essays in three languages. Two different sentence embedding models were evaluated within the AES system, multilingual BERT (mBERT) and language-agnostic BERT sentence embedding (LaBSE). German, Italian, and Czech essays were…
Descriptors: College Students, Slavic Languages, German, Italian
Huawei, Shi; Aryadoust, Vahid – Education and Information Technologies, 2023
Automated writing evaluation (AWE) systems are developed based on interdisciplinary research and technological advances such as natural language processing, computer sciences, and latent semantic analysis. Despite a steady increase in research publications in this area, the results of AWE investigations are often mixed, and their validity may be…
Descriptors: Writing Evaluation, Writing Tests, Computer Assisted Testing, Automation
Panayiotis Panayides; Elena C. Papanastasiou; Katerina Georgiou; Maria Karekla – European Journal of Education, 2024
This study is an investigation of the validity of the Online Test Anxiety Inventory (O?-TAI) for adult students. The scale contained the 20 items of the Test Anxiety Inventory (Spielberger, 1980), together with five computer anxiety items, all rephrased so as to pertain to online test anxiety. The scale was administered to a large sample of Greek…
Descriptors: Test Validity, Computer Assisted Testing, Test Anxiety, Measures (Individuals)
Mostafa M. Samy; Mohamed A. Metwally; Mahmoud Ashry; Wael M. Elmayyah – Measurement: Interdisciplinary Research and Perspectives, 2025
Gas Turbine Engines (GTE) have the highest power-to-weight ratio among Internal Combustion Engines (ICE). Its modularity and ability to utilize various types of fuel make it highly recommended in power plants, naval transportation, and, of course, the most equipped in aviation. The lack of GTEs' real data is increasing a recognized need for…
Descriptors: Engines, Power Technology, Data Collection, Data Interpretation
Yan Jin; Jason Fan – Language Assessment Quarterly, 2023
In language assessment, AI technology has been incorporated in task design, assessment delivery, automated scoring of performance-based tasks, score reporting, and provision of feedback. AI technology is also used for collecting and analyzing performance data in language assessment validation. Research has been conducted to investigate the…
Descriptors: Language Tests, Artificial Intelligence, Computer Assisted Testing, Test Format
Falcão, Filipe; Pereira, Daniela Marques; Gonçalves, Nuno; De Champlain, Andre; Costa, Patrício; Pêgo, José Miguel – Advances in Health Sciences Education, 2023
Automatic Item Generation (AIG) refers to the process of using cognitive models to generate test items using computer modules. It is a new but rapidly evolving research area where cognitive and psychometric theory are combined into digital framework. However, assessment of the item quality, usability and validity of AIG relative to traditional…
Descriptors: Computer Assisted Testing, Test Construction, Test Items, Automation
Sohyun An Kim; Rebecca Gotlieb; Laura V. Rhinehart; Veronica Pedroza; Maryanne Wolf – Journal of Psychoeducational Assessment, 2024
Rapid automatized naming (RAN) is a powerful predictor of reading fluency, and many digitized dyslexia screeners include RAN as an essential component. However, the validity of digitized RAN has not been established. Using a sample of 174 second-graders, this study tested (1) the comparability between paper and digitized versions of RAN and (2)…
Descriptors: Public Schools, Charter Schools, Private Schools, Elementary School Students
Sher Muhammad Awan; Rashid Hussain; Khalid Saleem – Pakistan Journal of Distance and Online Learning, 2024
The objective of this study was to find effect of Jazz smart classroom's online quiz on academic achievement of students at secondary school level. Experimental design was used in which two groups were selected one was control and other was experimental group. Experimental group was given a treatment of six weeks by using Jazz Smart Classroom's…
Descriptors: Educational Technology, High School Students, Computer Assisted Testing, Academic Achievement