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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
Guher Gorgun; Okan Bulut – Educational Measurement: Issues and Practice, 2025
Automatic item generation may supply many items instantly and efficiently to assessment and learning environments. Yet, the evaluation of item quality persists to be a bottleneck for deploying generated items in learning and assessment settings. In this study, we investigated the utility of using large-language models, specifically Llama 3-8B, for…
Descriptors: Artificial Intelligence, Quality Control, Technology Uses in Education, Automation
Liou, Gloria; Bonner, Cavan V.; Tay, Louis – International Journal of Testing, 2022
With the advent of big data and advances in technology, psychological assessments have become increasingly sophisticated and complex. Nevertheless, traditional psychometric issues concerning the validity, reliability, and measurement bias of such assessments remain fundamental in determining whether score inferences of human attributes are…
Descriptors: Psychometrics, Computer Assisted Testing, Adaptive Testing, Data
Cassondra M. Eng; Aria Tsegai-Moore; Anna V. Fisher – Grantee Submission, 2024
Computerized assessments and digital games have become more prevalent in childhood, necessitating a systematic investigation of the effects of gamified executive function assessments on performance and engagement. This study examined the feasibility of incorporating gamification and a machine learning algorithm that adapts task difficulty to…
Descriptors: Preschool Children, Preschool Curriculum, Preschool Education, Preschool Tests
Larranaga, Mikel; Aldabe, Itziar; Arruarte, Ana; Elorriaga, Jon A.; Maritxalar, Montse – IEEE Transactions on Learning Technologies, 2022
In a concept learning scenario, any technology-supported learning system must provide students with mechanisms that help them with the acquisition of the concepts to be learned. For the technology-supported learning systems to be successful in this task, the development of didactic material is crucial--a hard task that could be alleviated by means…
Descriptors: Computer Assisted Testing, Science Tests, Multiple Choice Tests, Textbooks
Jung Youn, Soo – Language Testing, 2023
As access to smartphones and emerging technologies has become ubiquitous in our daily lives and in language learning, technology-mediated social interaction has become common in teaching and assessing L2 speaking. The changing ecology of L2 spoken interaction provides language educators and testers with opportunities for renewed test design and…
Descriptors: Test Construction, Test Validity, Second Language Learning, Telecommunications
Bernis Sütçübasi; Tugçe Balli; Herbert Roeyers; Jan R. Wiersema; Sami Çamkerten; Ozan Cem Öztürk; Baris Metin; Edmund Sonuga-Barke – Journal of Attention Disorders, 2025
Objective: ADHD and autism are complex and frequently co-occurring neurodevelopmental conditions with shared etiological and pathophysiological elements. In this paper, we attempt to differentiate these conditions among the young people in terms of intrinsic patterns of brain connectivity revealed during resting state using machine learning…
Descriptors: Elementary School Students, Secondary School Students, Attention Deficit Hyperactivity Disorder, Autism Spectrum Disorders
Selcuk Acar; Denis Dumas; Peter Organisciak; Kelly Berthiaume – Grantee Submission, 2024
Creativity is highly valued in both education and the workforce, but assessing and developing creativity can be difficult without psychometrically robust and affordable tools. The open-ended nature of creativity assessments has made them difficult to score, expensive, often imprecise, and therefore impractical for school- or district-wide use. To…
Descriptors: Thinking Skills, Elementary School Students, Artificial Intelligence, Measurement Techniques
Geoffrey Converse – ProQuest LLC, 2021
In educational measurement, Item Response Theory (IRT) provides a means of quantifying student knowledge. Specifically, IRT models the probability of a student answering a particular item correctly as a function of the student's continuous-valued latent abilities [theta] (e.g. add, subtract, multiply, divide) and parameters associated with the…
Descriptors: Item Response Theory, Test Validity, Student Evaluation, Computer Assisted Testing
Thao-Trang Huynh-Cam; Long-Sheng Chen; Tzu-Chuen Lu – Journal of Applied Research in Higher Education, 2025
Purpose: This study aimed to use enrollment information including demographic, family background and financial status, which can be gathered before the first semester starts, to construct early prediction models (EPMs) and extract crucial factors associated with first-year student dropout probability. Design/methodology/approach: The real-world…
Descriptors: Foreign Countries, Undergraduate Students, At Risk Students, Dropout Characteristics
Patrick Kyllonen; Amit Sevak; Teresa Ober; Ikkyu Choi; Jesse Sparks; Daniel Fishtein – ETS Research Report Series, 2024
Assessment refers to a broad array of approaches for measuring or evaluating a person's (or group of persons') skills, behaviors, dispositions, or other attributes. Assessments range from standardized tests used in admissions, employee selection, licensure examinations, and domestic and international large-scale assessments of cognitive and…
Descriptors: Assessment Literacy, Testing, Test Bias, Test Construction
Ulum, Ömer Gökhan – Education and Information Technologies, 2020
Artificial Intelligence (AI) is growing -- as can be clearly observed not only from the rising recognition of assistance tools such as Siri (Apple) but also from the newly introduced Google Voiced Translator. Yet, some crucial benchmarks still have to be supplied before it can act as a proxy for a real instructor: imagination, creativity, and…
Descriptors: Foreign Countries, Computer Assisted Testing, Artificial Intelligence, Language Tests
Doris Zahner; Jeffrey T. Steedle; James Soland; Catherine Welch; Qi Qin; Kathryn Thompson; Richard Phelps – Online Submission, 2023
The "Standards for Educational and Psychological Testing" have served as a cornerstone for best practices in assessment. As the field evolves, so must these standards, with regular revisions ensuring they reflect current knowledge and practice. The National Council on Measurement in Education (NCME) conducted a survey to gather feedback…
Descriptors: Standards, Educational Assessment, Psychological Testing, Best Practices
Miguel Baptista Nunes Ed.; Pedro Isaias Ed. – International Association for Development of the Information Society, 2022
These proceedings contain the papers of the 16th International Conference on e-Learning (EL 2022), which was organised by the International Association for Development of the Information Society, 19-21 July, 2022. This conference is part of the 16th Multi Conference on Computer Science and Information Systems 2022, 19-22 July, which had a total of…
Descriptors: Electronic Learning, Online Courses, Educational Technology, COVID-19
Bejar, Issac I.; Yocom, Peter – 1986
This report explores an approach to item development and psychometric modeling which explicitly incorporates knowledge about the mental models used by examinees in the solution of items into a psychometric model that characterize performances on a test, as well as incorporating that knowledge into the item development process. The paper focuses on…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Computer Science, Construct Validity