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Yiqin Pan – ProQuest LLC, 2022
Item preknowledge refers to the phenomenon in which some examinees have access to live items before taking a test. It is one of the most common and significant concerns within the testing industry. Thus, various statistical methods have been proposed to detect item preknowledge in computerized linear or adaptive testing. However, the success of…
Descriptors: Artificial Intelligence, Prior Learning, Test Items, Algorithms
Li Kang – ProQuest LLC, 2022
Postsecondary institutions, especially selective ones, use standardized tests such as SAT and ACT as important indicators to measure applicants' academic abilities. However, many studies have found that the test scores correlate to applicants' racial/ethnic backgrounds. Selective institutions work hard to secure their diverse classes. Hence, more…
Descriptors: Testing, Alternative Assessment, Educational Policy, Selective Admission
Zita Lysaght; Michael O'Leary; Angela Mazzone; Conor Scully – Sage Research Methods Cases, 2022
Since 2018, colleagues from two research centers at Dublin City University have been collaborating to develop a measurement scale to assess individuals' ability to identify workplace bullying. Having agreed on an operational definition of the construct, an item pool of 26 workplace bullying scenarios, that is, short descriptions of…
Descriptors: Foreign Countries, Test Construction, Test Validity, Test Reliability
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Johnson, Martin; Shaw, Stuart – Journal of Further and Higher Education, 2019
With the introduction of a new initiative in a teaching and learning environment there is an ethical responsibility to consider whether the impact of the introduction has met its intended goals, and whether it has harmed those who are influenced by it. Technology and infrastructure developments have encouraged a continued growth in the development…
Descriptors: Computer Assisted Testing, Testing Problems, Evaluation Research, High Stakes Tests
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Doewes, Afrizal; Kurdhi, Nughthoh Arfawi; Saxena, Akrati – International Educational Data Mining Society, 2023
Automated Essay Scoring (AES) tools aim to improve the efficiency and consistency of essay scoring by using machine learning algorithms. In the existing research work on this topic, most researchers agree that human-automated score agreement remains the benchmark for assessing the accuracy of machine-generated scores. To measure the performance of…
Descriptors: Essays, Writing Evaluation, Evaluators, Accuracy
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VanDerHeyden, Amanda M.; Codding, Robin; Solomon, Benjamin G. – Remedial and Special Education, 2023
Computer-based curriculum-based measurement (CBM) is a relatively common practice, but surprisingly few studies have examined the reliability of computer-based CBM. This study sought to examine the reliability of CBM administered via paper/pencil versus the computer. Twenty-one of 25 students in two third-grade classes (N = 21) participated in two…
Descriptors: Curriculum Based Assessment, Computer Assisted Testing, Test Format, Grade 3
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Schneider, Johannes; Richner, Robin; Riser, Micha – International Journal of Artificial Intelligence in Education, 2023
Autograding short textual answers has become much more feasible due to the rise of NLP and the increased availability of question-answer pairs brought about by a shift to online education. Autograding performance is still inferior to human grading. The statistical and black-box nature of state-of-the-art machine learning models makes them…
Descriptors: Grading, Natural Language Processing, Computer Assisted Testing, Ethics
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Vorvilas, George; Liapis, Alexandros; Korovesis, Alkis; Angelopoulou, Dimitra; Karousos, Nikos; Efstathopoulos, Efstathios P. – Turkish Online Journal of Distance Education, 2023
The COVID-19 pandemic forced Higher Education Institutes (HEIs) to adopt alternative approaches to the delivery of their learning activities, including examinations. Many HEIs choose Remote Electronic Examinations (REEs) as a one-way solution due to physical presence restriction measures imposed by governments around the world. The present study…
Descriptors: Distance Education, Higher Education, Computer Assisted Testing, College Students
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Zhao, Kang; Wang, Jingjie – History of Education, 2023
From the beginning of the twentieth century to the present, the development of the history of education in China can be divided into four stages: a budding period, one of tortuous development, a recovery stage and finally one of stable growth influenced by various ideas and themes from other countries. Abundant academic areas and topics as well as…
Descriptors: Educational History, Foreign Countries, Educational Development, Intellectual Disciplines
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Effatpanah, Farshad; Baghaei, Purya – Practical Assessment, Research & Evaluation, 2023
Item response theory (IRT) refers to a family of mathematical models which describe the relationship between latent continuous variables (attributes or characteristics) and their manifestations (dichotomous/polytomous observed outcomes or responses) with regard to a set of item characteristics. Researchers typically use parametric IRT (PIRT)…
Descriptors: Item Response Theory, Feedback (Response), Mathematical Models, Item Analysis
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Burr, Justin Vernon – HAPS Educator, 2023
During the COVID-19 pandemic, academic institutions were forced to pivot toward online education. With the switch to online learning, e-proctoring became a popular choice to continue proctored exam assessments. Many concerns arose from this technology, including privacy, psychological, and performance concerns. With the resumption of in-person…
Descriptors: Health Sciences, College Students, Student Attitudes, Supervision
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Luele, Solomon Admasu; Taye, Markos Tezera; Moges, Birara Asnakew – Cogent Education, 2023
Online teaching and learning focus on the dissemination of knowledge and information to students who reside in different geographical locations. After the COVID-19 pandemic, online teaching and learning became a popular strategy in all higher learning institutions around the world to continue the interrupted teaching and learning process while…
Descriptors: Foreign Countries, Online Courses, COVID-19, Pandemics
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Leo, Haniva Yunita – IAFOR Journal of Education, 2023
Pain is human-universal since it is experienced by people across the world. However, since it is related to personal feelings, different people may feel it in a different way and rely on language to communicate. This paper presents a cross-cultural comparison of the study of the emotion of pain in Indonesian by examining the usage of two…
Descriptors: Pain, Computational Linguistics, Cross Cultural Studies, Indonesian
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Decman, John; Grace, Jennier; Simieou, Felix, III; Miller, Queinnise – School Leadership Review, 2023
Educational equity is understood as the recognition of a school system to ensure resources to safeguard that all students have equitable access, opportunity, and outcomes (Galloway & Ishimaru, 2015). Yet inequity persists in the American educational system. School accountability remains at the forefront of education policy to ensure equitable…
Descriptors: Accountability, Equal Education, Administrator Attitudes, Superintendents
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Almuhanna, Manal – Turkish Online Journal of Educational Technology - TOJET, 2023
The application of electronic assessments (e-assessment) has become inevitable with the expansion of distance education, and learners' perceptions should be considered when designers improve the system to meet their needs and facilitate their acceptance of the system. This mixed descriptive study investigated university students' perceptions about…
Descriptors: Evaluation Methods, Educational Improvement, College Students, Student Experience
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