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Stefan Ninkovic; Stanislava Olic Ninkovic; Tihomir Lazarevic; Jasna Adamov – Educational Studies, 2024
The COVID-19 pandemic has led to the temporary closure of schools around the world. Due to the sudden and complete transition to online instruction, teachers were faced with various challenges. The assessment of student performance is one of the integrative segments of remote teaching. Therefore, the aim of this study was to examine the…
Descriptors: Foreign Countries, Teacher Attitudes, Electronic Learning, Computer Assisted Testing
María-del-Mar Romero-Alemán – Anatomical Sciences Education, 2024
The present retrospective, descriptive, and quasi-experimental study aimed to explore students' perceptions of traditional teaching combined with gamified and nongamified e-tests for postlecture reinforcement. Midterm knowledge retention and academic performance were also analyzed. The study was conducted from February 2021 to May 2022, involving…
Descriptors: Gamification, Tests, Computer Assisted Testing, Biology
Yu Wang – ProQuest LLC, 2024
The multiple-choice (MC) item format has been widely used in educational assessments across diverse content domains. MC items purportedly allow for collecting richer diagnostic information. The effectiveness and economy of administering MC items may have further contributed to their popularity not just in educational assessment. The MC item format…
Descriptors: Multiple Choice Tests, Cognitive Tests, Cognitive Measurement, Educational Diagnosis
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
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
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
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
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
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)
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
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
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
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
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)