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Fergadiotis, Gerasimos; Hula, William D.; Swiderski, Alexander M.; Lei, Chia-Ming; Stacey Kellough – Journal of Speech, Language, and Hearing Research, 2019
Purpose: In this study, we investigated the agreement between the 175-item Philadelphia Naming Test (PNT; Roach, Schwartz, Martin, Grewal, & Brecher, 1996) and a 30-item computer adaptive PNT (PNT-CAT; Fergadiotis, Kellough, & Hula, 2015; Hula, Kellough, & Fergadiotis, 2015) created using item response theory (IRT) methods. Method: The…
Descriptors: Computer Assisted Testing, Aphasia, Naming, Test Validity
Lindsay Pennington; Lily Potts; Janice Murray; Johanna Geytenbeek; Kate Laws; Jenefer Sargent; Michael Clarke; John Swettenham; Julie Lachkovic; Catherine Martin; Elaine McColl – International Journal of Language & Communication Disorders, 2025
Background: Current UK measures of early spoken language comprehension require manipulation of toys and/or verbal responses and are not accessible to children with severe motor impairments. The Computer-Based Instrument for Low motor Language Testing (C-BiLLT) (originally validated in Dutch) is a computerized test of spoken language comprehension…
Descriptors: Foreign Countries, Children, Motor Development, Psychomotor Skills
Celeste Combrinck; Nelé Loubser – Discover Education, 2025
Written assignments for large classes pose a far more significant challenge in the age of the GenAI revolution. Suggestions such as oral exams and formative assessments are not always feasible with many students in a class. Therefore, we conducted a study in South Africa and involved 280 Honors students to explore the usefulness of Turnitin's AI…
Descriptors: Foreign Countries, Artificial Intelligence, Large Group Instruction, Alternative Assessment
Maya Usher – Assessment & Evaluation in Higher Education, 2025
The integration of Generative Artificial Intelligence (GenAI) in education has introduced innovative approaches to assessment. One such approach is AI chatbot-based assessment, which utilizes large language models to provide students with timely and consistent feedback. However, the effectiveness of AI chatbots in generating assessments comparable…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Student Evaluation, Peer Evaluation
Project Tomorrow, 2025
In support of new local and state discussions about how to most effectively utilize technology in the classroom, Project Tomorrow, in collaboration with Spectrum Business®, is publishing a new series of reports that examine each of the three digital divides (the access, design and use divides) through the lens of the Speak Up Research findings.…
Descriptors: Technology Uses in Education, Access to Computers, Learning Processes, Educational Technology
Chinmay Suryavanshi; Kirtana Raghurama Nayak – Advances in Physiology Education, 2025
Certainty-based marking (CBM) requires students to indicate their certainty levels alongside their answers. CBM has been shown to enhance self-assessment and metacognitive awareness. This study aimed to explore the implementation of CBM in multiple-choice assessments in physiology. The CBM assessment tool was developed with an artificial…
Descriptors: Foreign Countries, Multiple Choice Tests, Physiology, Artificial Intelligence
Georgios Zacharis; Stamatios Papadakis – Educational Process: International Journal, 2025
Background/purpose: Generative artificial intelligence (GenAI) is often promoted as a transformative tool for assessment, yet evidence of its validity compared to human raters remains limited. This study examined whether an AI-based rater could be used interchangeably with trained faculty in scoring complex coursework. Materials/methods:…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Assisted Testing, Grading
Haus, Goffredo; Pasquinelli, Yuri Benvenuto; Scaccia, Daniela; Scarabottolo, Nello – International Association for Development of the Information Society, 2020
The paper deals with the problem of carrying on online written exams in the University of Milan, suddenly closed due to the Covid-19 emergency. Main goal of the paper is to present and compare the different scenarios envisioned, depending on the number of students to be monitored in parallel to avoid cheating. For limited numbers, direct…
Descriptors: COVID-19, Pandemics, Computer Assisted Testing, Cheating
Abele, Stephan – Vocations and Learning, 2018
This article deals with a theory-based investigation of the diagnostic problem-solving process in professional contexts. To begin with, a theory of the diagnostic problem-solving process was developed drawing on findings from different professional contexts. The theory distinguishes between four sub-processes of the diagnostic problem-solving…
Descriptors: Problem Solving, Mechanical Skills, Hypothesis Testing, Motor Vehicles
Yamamoto, Kentaro; Shin, Hyo Jeong; Khorramdel, Lale – Educational Measurement: Issues and Practice, 2018
A multistage adaptive testing (MST) design was implemented for the Programme for the International Assessment of Adult Competencies (PIAAC) starting in 2012 for about 40 countries and has been implemented for the 2018 cycle of the Programme for International Student Assessment (PISA) for more than 80 countries. Using examples from PISA and PIAAC,…
Descriptors: International Assessment, Foreign Countries, Achievement Tests, Test Validity
Zhai, Xiaoming; Haudek, Kevin C.; Shi, Lehong; Nehm, Ross H.; Urban-Lurain, Mark – Journal of Research in Science Teaching, 2020
This study develops a framework to conceptualize the use and evolution of machine learning (ML) in science assessment. We systematically reviewed 47 studies that applied ML in science assessment and classified them into five categories: (a) constructed response, (b) essay, (c) simulation, (d) educational game, and (e) inter-discipline. We compared…
Descriptors: Computer Assisted Testing, Science Tests, Essays, Simulation
Jo, Il-Hyun; Kim, Jeonghyun – Asia-Pacific Education Researcher, 2020
Psychophysiological responses have been studied as objective indicators for measuring a learner's cognitive load. Previous studies have correlated pupil dilation or fixation length with increased cognitive load. Our aims were to confirm whether these findings could be applied in a general learning context and to verify the additivity hypothesis of…
Descriptors: Cognitive Processes, Difficulty Level, Problem Solving, Psychophysiology
Krach, Shelley Kathleen; McCreery, Michael P.; Dennis, Lindsay; Guerard, Jessika; Harris, Erica L. – Psychology in the Schools, 2020
Pearson now uses a technology-based testing platform, Q-Interactive, to administer tests previously available in paper versions. The same norms are used for both versions; Pearson's in-house equivalency studies indicated that both versions are equated. The goal of the current study is to independently evaluate equivalency findings. For the current…
Descriptors: Preschool Children, Computer Assisted Testing, Test Items, Scores
Chaka Chaka; Thembeka Shange – Turkish Online Journal of Distance Education, 2024
This study reports on the experiences students registered for a first-year, undergraduate English Studies module and English Studies lecturers had with the Invigilator app during an online examination in the first semester of 2023. Current research indicates that e-proctoring induces anxiety and uncertainty in students when they write online…
Descriptors: Computer Oriented Programs, Computer Assisted Testing, Supervision, College Freshmen
Hossein Navidinia; Adrian Naznean; Maha Sourani; Nargess Hekmati – Asia-Pacific Education Researcher, 2024
Online teaching has gained more momentum since the outbreak of the COVID-19 pandemic. While this mode offers many benefits, one major concern is maintaining academic integrity, as online instruction can provide more opportunities for cheating. This study aimed to explore students' attitudes toward cheating in online assessments (OAs) and any…
Descriptors: Ethics, Cheating, Computer Assisted Testing, COVID-19

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