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Yizhou Fan; Luzhen Tang; Huixiao Le; Kejie Shen; Shufang Tan; Yueying Zhao; Yuan Shen; Xinyu Li; Dragan Gaševic – British Journal of Educational Technology, 2025
With the continuous development of technological and educational innovation, learners nowadays can obtain a variety of supports from agents such as teachers, peers, education technologies, and recently, generative artificial intelligence such as ChatGPT. In particular, there has been a surge of academic interest in human-AI collaboration and…
Descriptors: College Students, Writing Achievement, Writing Exercises, Artificial Intelligence
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Hana Svobodová; Petr Trahorsch – International Research in Geographical and Environmental Education, 2025
Geographical Olympiads are disciplinary competitions that can be a tool for assessing geographical knowledge and skills in different countries of the world. This article aims to analyse the results of the national and international geography Olympiads and to identify their conditionality and interrelationship. The secondary aim is to find out…
Descriptors: Foreign Countries, Geography, Geography Instruction, Evaluation Methods
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Yang Du; Susu Zhang – Journal of Educational and Behavioral Statistics, 2025
Item compromise has long posed challenges in educational measurement, jeopardizing both test validity and test security of continuous tests. Detecting compromised items is therefore crucial to address this concern. The present literature on compromised item detection reveals two notable gaps: First, the majority of existing methods are based upon…
Descriptors: Item Response Theory, Item Analysis, Bayesian Statistics, Educational Assessment
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Faith Sylvester Orim; Usani Joseph Ofem; Imelda Barong Edam-Agbor; Nsan Njar Nsan; John Arikpo Okri; Patience Ekpang; Blessing Ogunjimi; Isu Michael Egbe; James Omaji Ukatu; Cecilia Undie Angrey; Moses Agba Undie; Oluwaseun Akin-Fakorede; Dymphina Abua; Peace Asukwo – Discover Education, 2025
The current educational landscape is flooded with new technological tools, especially with the arrival of artificial intelligence, which is applicable at all levels of instructional practices. However, the application of technology in assessment in higher education has been understudied. This study focused on filling this research gap by examining…
Descriptors: Higher Education, College Faculty, Computer Assisted Testing, Technology Integration
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Alireza Maleki – International Journal of Lifelong Education, 2025
Online learning and assessment have become a major concern for educators in the field of education due to the many challenges they present. The coronavirus lockdown has profoundly affected the instruction and evaluation processes for English as a Foreign Language (EFL) learners. Therefore, this study aims to investigate the perspectives of EFL…
Descriptors: English (Second Language), Language Teachers, Computer Assisted Testing, Barriers
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Kilinc, Hakan; Okur, Muhammet Recep; Usta, Ilker – International Journal of Assessment Tools in Education, 2021
Within the scope of this study, it was aimed to determine the factors that should be considered regarding the usability and security of online test applications used as an assessment and evaluation tool during the COVID-19 pandemic. In this context, the case study method was used to obtain the opinions of field experts. Furthermore, in this study,…
Descriptors: COVID-19, Pandemics, Computer Assisted Testing, Evaluation Methods
Jimenez, Laura; Modaffari, Jamil – Center for American Progress, 2021
Assessments are a way for stakeholders in education to understand what students know and can do. They can take many forms, including but not limited to paper and pencil or computer-adaptive formats. However, assessments do not have to be tests in the traditional sense at all; rather, they can be carried out through teacher observations of students…
Descriptors: Equal Education, Elementary Secondary Education, Futures (of Society), Computer Assisted Testing
Peter Stern – ProQuest LLC, 2021
Across the country, school districts are increasingly seeking out privately contracted psychologists to conduct psychological evaluations. As such, it is increasingly important that psychological reports adhere to best practices and are written to ensure comprehension by both parents and teachers. This study explored the potential differences…
Descriptors: Teachers, Special Education Teachers, Teacher Attitudes, Psychological Evaluation
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Huawei, Shi; Aryadoust, Vahid – Education and Information Technologies, 2023
Automated writing evaluation (AWE) systems are developed based on interdisciplinary research and technological advances such as natural language processing, computer sciences, and latent semantic analysis. Despite a steady increase in research publications in this area, the results of AWE investigations are often mixed, and their validity may be…
Descriptors: Writing Evaluation, Writing Tests, Computer Assisted Testing, Automation
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Krasnoff, Julia; Oberauer, Klaus – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
This work investigates how people make judgments about the content of their visual working memory (VWM). Some studies on long-term memory suggest that people base those metacognitive judgments on the outcome of a retrieval attempt. In contrast, Son and Metcalfe (2005) observed that people identify poorly remembered items immediately, presumably by…
Descriptors: Metacognition, Short Term Memory, Visual Perception, Color
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Abasli, Konul; Yakut-Ozek, Bahar; Mammadli, Abdulkhalig – Higher Learning Research Communications, 2023
Objectives: The purpose of this study is to determine university students' views on online exams during the pandemic. The study was carried out with the participation of 15 undergraduate students studying at an engineering university in Azerbaijan. Methods: Interpretive phenomenology guided the study. Data were collected through semi-structured…
Descriptors: Computer Assisted Testing, Psychological Patterns, Student Attitudes, Undergraduate Students
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Vembye, Mikkel Helding; Pustejovsky, James Eric; Pigott, Therese Deocampo – Journal of Educational and Behavioral Statistics, 2023
Meta-analytic models for dependent effect sizes have grown increasingly sophisticated over the last few decades, which has created challenges for a priori power calculations. We introduce power approximations for tests of average effect sizes based upon several common approaches for handling dependent effect sizes. In a Monte Carlo simulation, we…
Descriptors: Meta Analysis, Robustness (Statistics), Statistical Analysis, Models
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Qiao, Chen; Hu, Xiao – IEEE Transactions on Learning Technologies, 2023
Free text answers to short questions can reflect students' mastery of concepts and their relationships relevant to learning objectives. However, automating the assessment of free text answers has been challenging due to the complexity of natural language. Existing studies often predict the scores of free text answers in a "black box"…
Descriptors: Computer Assisted Testing, Automation, Test Items, Semantics
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Beechey, Timothy – Journal of Speech, Language, and Hearing Research, 2023
Purpose: This article provides a tutorial introduction to ordinal pattern analysis, a statistical analysis method designed to quantify the extent to which hypotheses of relative change across experimental conditions match observed data at the level of individuals. This method may be a useful addition to familiar parametric statistical methods…
Descriptors: Hypothesis Testing, Multivariate Analysis, Data Analysis, Statistical Inference
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Cheng, Chao-Yang; Chen, Jim-Ming; Chen, Sherry Y. – Interactive Learning Environments, 2023
Online tests offer many advantages but they still belong to assessment, which may make learners have anxiety. Thus, students may experience certain emotion. Academic emotion is a branch of emotion and has great effects on student learning. Such effects can be associated with individual differences, especially prior knowledge. To this end, this…
Descriptors: College Students, Prior Learning, Academic Achievement, Emotional Response
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