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Yang Jiang; Mo Zhang; Jiangang Hao; Paul Deane; Chen Li – Journal of Educational Measurement, 2024
The emergence of sophisticated AI tools such as ChatGPT, coupled with the transition to remote delivery of educational assessments in the COVID-19 era, has led to increasing concerns about academic integrity and test security. Using AI tools, test takers can produce high-quality texts effortlessly and use them to game assessments. It is thus…
Descriptors: Integrity, Artificial Intelligence, Technology Uses in Education, Ethics
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Kaiwen Man – Educational and Psychological Measurement, 2024
In various fields, including college admission, medical board certifications, and military recruitment, high-stakes decisions are frequently made based on scores obtained from large-scale assessments. These decisions necessitate precise and reliable scores that enable valid inferences to be drawn about test-takers. However, the ability of such…
Descriptors: Prior Learning, Testing, Behavior, Artificial Intelligence
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Robert Knipe – Journal of Physical Education, Recreation & Dance, 2024
How physical education teachers approach standards-based assessment of the new National Physical Education Standards is yet to be determined. But the use of technology for assessments may be one way to support and empower students in the education process toward physical literacy. This article focuses on the ways in which educators have adopted a…
Descriptors: Academic Standards, Educational Change, Student Evaluation, Technology Uses in Education
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Erin E. C. Henze; Kathleen A. Aspiranti; Jennifer L. Reynolds – Contemporary School Psychology, 2024
Given the shift toward technology-based approaches to assessment and intervention and the growing popularity of virtual service delivery, practitioners must have data to inform whether student performance on curriculum-based measures (CBMs) is equivalent when administering assessments through different modalities. Reading CBMs are a widely used…
Descriptors: Oral Reading, Reading Fluency, Curriculum Based Assessment, In Person Learning
Jennifer Roble – ProQuest LLC, 2024
This study examines the impact of Generative Artificial Intelligence (GAI) on teacher workload, burnout, and well-being at a large K-12 independent school in Hawaii. The research focused on teachers identified as innovators and early adopters to understand their experiences with GAI. A qualitative, phenomenological design was employed, using…
Descriptors: Elementary School Teachers, Secondary School Teachers, Teaching Load, Artificial Intelligence
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Andrea Révész; Hyeonjeong Jeong; Shungo Suzuki; Haining Cui; Shunsui Matsuura; Kazuya Saito; Motoaki Sugiura – Studies in Second Language Acquisition, 2024
The last three decades have seen significant development in understanding and describing the effects of task complexity on learner internal processes. However, researchers have primarily employed behavioral methods to investigate task-generated cognitive load. Being the first to adopt neuroimaging to study second language (L2) task effects, we…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Decision Making Skills
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Esteban Guevara Hidalgo – International Journal for Educational Integrity, 2025
The COVID-19 pandemic had a profound impact on education, forcing many teachers and students who were not used to online education to adapt to an unanticipated reality by improvising new teaching and learning methods. Within the realm of virtual education, the evaluation methods underwent a transformation, with some assessments shifting towards…
Descriptors: Foreign Countries, Higher Education, COVID-19, Pandemics
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Dongkwang Shin; Suh Keong Kwon; Wonjun Izac Noh; Yohan Hwang – Journal of Computer Assisted Learning, 2025
Background: This study examines the evolution of English speaking proficiency test methods, which have traditionally relied on face-to-face interactions to assess communicative language competence. Recently, computer-based language tests have also been used on a larger scale, albeit with concerns about their impact on measurement. Objectives: This…
Descriptors: Computer Simulation, Technology Uses in Education, English (Second Language), Second Language Learning
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Yue Huang; Joshua Wilson – Journal of Computer Assisted Learning, 2025
Background: Automated writing evaluation (AWE) systems, used as formative assessment tools in writing classrooms, are promising for enhancing instruction and improving student performance. Although meta-analytic evidence supports AWE's effectiveness in various contexts, research on its effectiveness in the U.S. K-12 setting has lagged behind its…
Descriptors: Writing Evaluation, Writing Skills, Writing Tests, Writing Instruction
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Saida Ulfa; Ence Surahman; Agus Wedi; Izzul Fatawi; Rex Bringula – Knowledge Management & E-Learning, 2025
Online assessment is one of the important factors in online learning today. An online summary assessment is an example of an open-ended question, offering the advantage of probing students' understanding of the learning materials. However, grading students' summary writings is challenging due to the time-consuming process of evaluating students'…
Descriptors: Knowledge Management, Automation, Documentation, Feedback (Response)
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Hanna, Gila; Yan, Xiaoheng – For the Learning of Mathematics, 2021
The paper argues that there is a need for new approaches to teaching proof with newly-available technology. It contributes to filling this need by opening a discussion on digital proof assistants, programs that allow one to do mathematics with the aid of a computer, construct proofs, and check their correctness. The paper starts by exploring such…
Descriptors: Mathematics Instruction, Validity, Mathematical Logic, Teaching Methods
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Wang, Shiyu; Xiao, Houping; Cohen, Allan – Journal of Educational and Behavioral Statistics, 2021
An adaptive weight estimation approach is proposed to provide robust latent ability estimation in computerized adaptive testing (CAT) with response revision. This approach assigns different weights to each distinct response to the same item when response revision is allowed in CAT. Two types of weight estimation procedures, nonfunctional and…
Descriptors: Computer Assisted Testing, Adaptive Testing, Computation, Robustness (Statistics)
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Sagoo, Mandeep Gill; Vorstenbosch, Marc A.T.M.; Bazira, Peter J.; Ellis, Harold; Kambouri, Maria; Owen, Charlie – Anatomical Sciences Education, 2021
Anatomical examinations have been designed to assess topographical and/or applied knowledge of anatomy with or without the inclusion of visual resources such as cadaveric specimens or images, radiological images, and/or clinical photographs. Multimedia learning theories have advanced the understanding of how words and images are processed during…
Descriptors: Anatomy, Computer Assisted Testing, Visual Aids, Medical Students
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Chuo, Wen-Ho; Lee, Chun-Yann; Wang, Tzong-Song; Huang, Po-Sen; Lin, Hsin-Hsin; Wen, Meng-Chuan; Kuo, Daih-Huang; Agoramoorthy, Govindasamy – Education Sciences, 2021
With the wide application of the OSCE in the field of pharmacy, the development of e-assessment in OSCE is a predictable trend. However, the feasibility of its practical application and the acceptance of examiners who are accustomed to using traditional paper-based methods are worthy of being discussed. The e-assessment system (EAS) was…
Descriptors: Pharmaceutical Education, Computer Assisted Testing, Performance Based Assessment, Objective Tests
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Muranaka-Vuletich, Hiromi – Education and Information Technologies, 2021
Many tertiary language courses have some online components as part of their blended learning initiatives. These online activities could be part of assessments, and online quizzes/tests can be used as preparation for the demanding final written examination. This study attempts to shed some light on the effects of online tests on final examination…
Descriptors: Foreign Countries, Outcomes of Education, Second Language Learning, Computer Assisted Testing
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