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Showing 16 to 30 of 225 results Save | Export
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Ishaya Gambo; Faith-Jane Abegunde; Omobola Gambo; Roseline Oluwaseun Ogundokun; Akinbowale Natheniel Babatunde; Cheng-Chi Lee – Education and Information Technologies, 2025
The current educational system relies heavily on manual grading, posing challenges such as delayed feedback and grading inaccuracies. Automated grading tools (AGTs) offer solutions but come with limitations. To address this, "GRAD-AI" is introduced, an advanced AGT that combines automation with teacher involvement for precise grading,…
Descriptors: Automation, Grading, Artificial Intelligence, Computer Assisted Testing
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Simon Ntumi – Discover Education, 2025
This study investigated the impact of AI-powered adaptive testing on student academic performance and test anxiety, comparing its effectiveness to traditional testing methods. Using a quantitative research approach, hierarchical regression analysis was employed to examine the influence of adaptive testing on student outcomes, controlling for…
Descriptors: Adaptive Testing, Computer Assisted Testing, Artificial Intelligence, Test Anxiety
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Robert L. Moore; Sophia Soomin Lee; Amanda Taylor Pate; Amanda J. Wilson – Distance Education, 2025
This systematic review synthesizes 14 peer-reviewed studies from 2015 to 2023, focusing on the assessment methods and delivery of digital microcredentials. Microcredentials provide specialized, focused content and recognize professional learning or competency in specific skills. This paper defines digital microcredentials as those offered in an…
Descriptors: Literature Reviews, Microcredentials, Evaluation Methods, Program Evaluation
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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
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Rajagopal Sankaranarayanan; Mohan Yang; Kyungbin Kwon – Journal of Computing in Higher Education, 2025
The purpose of this study is to explore the influence of the microlearning instructional approach in an online introductory database programming classroom. The ultimate goal of this study is to inform educators and instructional designers on the design and development of microlearning content that maximizes student learning. Grounded within the…
Descriptors: Teaching Methods, Introductory Courses, Databases, Programming
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Danielle Lottridge; Davis Dimalen; Gerald Weber – ACM Transactions on Computing Education, 2025
Automated assessment is well-established within computer science courses but largely absent from human--computer interaction courses. Automating the assessment of human--computer interaction (HCI) is challenging because the coursework tends not to be computational but rather highly creative, such as designing and implementing interactive…
Descriptors: Computer Science Education, Computer Assisted Testing, Automation, Man Machine Systems
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Sayed Mohammad Mahdi Vaghei; Mozhgan Asadi; Banafshe Mansuri – International Journal of Language & Communication Disorders, 2025
Background: Remote assessment through telehealth offers potential benefits for people with aphasia (PWA), particularly where in-person services are limited. However, its diagnostic validity in developing countries remains underexplored due to differences in infrastructure and digital literacy. Aims: To compare in-person and remote administration…
Descriptors: Computer Assisted Testing, Aphasia, Indo European Languages, Adults
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Nicholas Hobbs; Janet Steele – HAPS Educator, 2025
Formative assessment is a type of low-stakes assessment that can help reduce student anxiety and encourage students to engage in the course regularly. Formative assessment can also help instructors identify knowledge gaps. Students who had completed the first semester of a two-semester sophomore-level anatomy and physiology sequence were surveyed…
Descriptors: Anatomy, Physiology, Tests, Learner Engagement
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
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Beyza Aksu Dünya; Stefanie A. Wind; Mehmet Can Demir – SAGE Open, 2025
The purpose of this study was to generate an item bank for assessing faculty members' assessment literacy and to examine the applicability and feasibility of a Computerized Adaptive Test (CAT) approach to monitor assessment literacy among faculty members. In developing this assessment using a sequential mixed-methods research design, our goal was…
Descriptors: Assessment Literacy, Item Banks, College Faculty, Adaptive Testing
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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
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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
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Selcuk Acar; Peter Organisciak; Denis Dumas – Journal of Creative Behavior, 2025
In this three-study investigation, we applied various approaches to score drawings created in response to both Form A and Form B of the Torrance Tests of Creative Thinking-Figural (broadly TTCT-F) as well as the Multi-Trial Creative Ideation task (MTCI). We focused on TTCT-F in Study 1, and utilizing a random forest classifier, we achieved 79% and…
Descriptors: Scoring, Computer Assisted Testing, Models, Correlation
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Harold Doran; Testsuhiro Yamada; Ted Diaz; Emre Gonulates; Vanessa Culver – Journal of Educational Measurement, 2025
Computer adaptive testing (CAT) is an increasingly common mode of test administration offering improved test security, better measurement precision, and the potential for shorter testing experiences. This article presents a new item selection algorithm based on a generalized objective function to support multiple types of testing conditions and…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Algorithms
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Peter Baldwin; Victoria Yaneva; Kai North; Le An Ha; Yiyun Zhou; Alex J. Mechaber; Brian E. Clauser – Journal of Educational Measurement, 2025
Recent developments in the use of large-language models have led to substantial improvements in the accuracy of content-based automated scoring of free-text responses. The reported accuracy levels suggest that automated systems could have widespread applicability in assessment. However, before they are used in operational testing, other aspects of…
Descriptors: Artificial Intelligence, Scoring, Computational Linguistics, Accuracy
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