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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
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
Yang, Lihong; Reckase, Mark D. – Educational and Psychological Measurement, 2020
The present study extended the "p"-optimality method to the multistage computerized adaptive test (MST) context in developing optimal item pools to support different MST panel designs under different test configurations. Using the Rasch model, simulated optimal item pools were generated with and without practical constraints of exposure…
Descriptors: Item Banks, Adaptive Testing, Computer Assisted Testing, Item Response Theory
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
Taghreed Abdulaziz Almuqayteeb; Wessam Mohamed – Journal of Education and e-Learning Research, 2024
E-learning has taken the lead over face-to-face instruction in higher education as a response to the COVID-19 pandemic. This shift forced faculty members to adapt to new roles and responsibilities to design and apply online instruction and assessments that require specific skills. This research aims to examine faculty experiences with online…
Descriptors: Foreign Countries, College Faculty, Teaching Experience, COVID-19
Nikola Ebenbeck; Morten Bastian; Andreas Mühling; Markus Gebhardt – Journal of Computer Assisted Learning, 2024
Background: Computerised adaptive tests (CATs) are tests that provide personalised, efficient and accurate measurement while reducing testing time, depending on the desired level of precision. Schools have different types of assessments that can benefit from a significant reduction in testing time to varying degrees, depending on the area of…
Descriptors: Computer Assisted Testing, Elementary Secondary Education, Public Schools, Special Schools
Marco Rüth; Maria Jansen; Kai Kaspar – Journal of Computer Assisted Learning, 2024
Background: Online exams have become a more common form of assessment at universities due to the COVID-19 pandemic. However, cheating behaviour in online exams is widespread and threatens exam validity as well as student learning and well-being. Objective: To better understand the role of university students' needs, conceptions and reasons…
Descriptors: Foreign Countries, College Students, Computer Assisted Testing, Cheating
Lê Th? Thu Trang; Marlizayati Johari; Hardimah Said – Education and Information Technologies, 2024
Online assessment is not new to teachers, students and educators worldwide as internet and personal computers have dominated the globe in late 20th and early 21st. centuries. Nonetheless, it was during COVID-19 pandemic that accelerated the development of online assessment as an alternative method to the traditional assessment. This study aims at…
Descriptors: Foreign Countries, Computer Assisted Testing, Language Tests, Teaching Methods
Katrin Klingbeil; Fabian Rösken; Bärbel Barzel; Florian Schacht; Kaye Stacey; Vicki Steinle; Daniel Thurm – ZDM: Mathematics Education, 2024
Assessing students' (mis)conceptions is a challenging task for teachers as well as for researchers. While individual assessment, for example through interviews, can provide deep insights into students' thinking, this is very time-consuming and therefore not feasible for whole classes or even larger settings. For those settings, automatically…
Descriptors: Multiple Choice Tests, Formative Evaluation, Mathematics Tests, Misconceptions
Tom Ehrhart; Tim Niclas Höffler; Simon Grund; Marlit Annalena Lindner – Journal of Educational Psychology, 2024
Research on the multimedia effect in testing indicates that static representational pictures (RPs) and, potentially, dynamic RPs that further subdivide the picture into segments may support students' mental processing. This might be especially relevant for mathematical word problems that pose high mental demands in a multistage solution process.…
Descriptors: Word Problems (Mathematics), Animation, Foreign Countries, Secondary School Students
E. A. J. Terblanche; I. Lubbe – Accounting Education, 2024
Globally, higher education institutions were forced to use online assessments during the COVID-19 pandemic. Given the fast-paced transition to online assessments at the time, the authors saw a unique opportunity to explore accounting educators' experiences and perceptions of assessments conducted in accounting courses in South Africa during this…
Descriptors: Accounting, Business Administration Education, Business Education Teachers, Teacher Attitudes

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