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Noorbehbahani, Fakhroddin; Mohammadi, Azadeh; Aminazadeh, Mohammad – Education and Information Technologies, 2022
In recent years, online learning has received more attention than ever before. One of the most challenging aspects of online education is the students' assessment since academic integrity could be violated due to various cheating behaviors in online examinations. Although a considerable number of literature reviews exist about online learning,…
Descriptors: Cheating, Computer Assisted Testing, Electronic Learning, Educational Trends
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Jessie S. Barrot – Education and Information Technologies, 2024
This bibliometric analysis attempts to map out the scientific literature on automated writing evaluation (AWE) systems for teaching, learning, and assessment. A total of 170 documents published between 2002 and 2021 in Social Sciences Citation Index journals were reviewed from four dimensions, namely size (productivity and citations), time…
Descriptors: Educational Trends, Automation, Computer Assisted Testing, Writing Tests
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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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Alberto Ortiz-López; Susana Olmos-Migueláñez; José Carlos Sánchez-Prieto – Education and Information Technologies, 2024
Today, education is facing a new reality in which technology and new teaching methods are being quickly introduced into educational systems and institutions. Educational institutions are now dealing with the challenge of providing continuity to e-learning, turning it into a more flexible and up-to-date field, and considering assessment as a…
Descriptors: Evaluation Methods, Digital Literacy, Computer Assisted Testing, Technology Uses in Education
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Johan Syahbrudin; Edi Istiyono; Moh. Khairudin; Anita Anggraini; Indah Urwatin Wusqo; Metta Mariam; Yenni Muflihan – Contemporary Educational Technology, 2025
Computer-based assessment (CBA) is a top-rated tool for conducting assessments, mapping learning outcomes, and selecting new candidates. Research that examines the development and use of CBA is also increasing from year to year, so without bibliometric analysis, it would be quite challenging to keep up with all of these studies. This study aims to…
Descriptors: Computer Assisted Testing, Educational Research, Educational Trends, Bibliometrics
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Nigam, Aditya; Pasricha, Rhitvik; Singh, Tarishi; Churi, Prathamesh – Education and Information Technologies, 2021
There have been giant leaps in the field of education in the past 1-2 years. Schools and colleges are transitioning online to provide more resources to their students. The COVID-19 pandemic has provided students more opportunities to learn and improve themselves at their own pace. Online proctoring services (part of assessment) are also on the…
Descriptors: Supervision, Artificial Intelligence, Computer Assisted Testing, Educational Research
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Olga Viberg; Chantal Mutimukwe; Stefan Hrastinski; Teresa Cerratto-Pargman; Joakim Lilliesköld – British Journal of Educational Technology, 2024
Digital technologies are increasingly used in assessment. On the one hand, this use offers opportunities for teachers to practice assessment more effectively, and on the other hand, it brings challenges to the design of pedagogically sound and responsible digital assessment. There is a lack of validated instruments and models that explain, assess…
Descriptors: Computer Assisted Testing, Teaching Methods, Evaluation Methods, Educational Trends
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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
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Kurdi, Ghader; Leo, Jared; Parsia, Bijan; Sattler, Uli; Al-Emari, Salam – International Journal of Artificial Intelligence in Education, 2020
While exam-style questions are a fundamental educational tool serving a variety of purposes, manual construction of questions is a complex process that requires training, experience, and resources. This, in turn, hinders and slows down the use of educational activities (e.g. providing practice questions) and new advances (e.g. adaptive testing)…
Descriptors: Computer Assisted Testing, Adaptive Testing, Natural Language Processing, Questioning Techniques
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Knight, G. L.; Drysdale, T. D. – Higher Education Pedagogies, 2020
Graduates are entering a sociotechnological world, with teaching and assessment needing to reflect that, by shifting from a 'recall-on-paper' to 'do-it-for-real'. With increasing student numbers, it is not feasible to have staff-student ratios and round-the-clock availability required to provide instant feedback and ever-more interactive teaching…
Descriptors: Higher Education, Educational Trends, Skill Development, Job Skills
Nasution, M. K.; Surbakti, A. H. – Online Submission, 2020
This study provides an initial statistical approach as an alternative model to detect the fraudulent practice estimation of national examination (NE). Trends, patterns, and relationships were analysed from the national examination (NE) scores and the national examination integrity index (NEII) on pre-and post-computer-based national examination…
Descriptors: Educational Trends, Computer Assisted Testing, National Competency Tests, Science Education
Josh Freeman – Higher Education Policy Institute, 2025
Building on our 2024 AI Survey, we surveyed 1,041 full-time undergraduate students through Savanta about their use of generative artificial intelligence (GenAI) tools. In 2025, we find that the student use of AI has surged in the last year, with almost all students (92%) now using AI in some form, up from 66% in 2024, and some 88% having used…
Descriptors: Student Surveys, Student Attitudes, Cheating, Artificial Intelligence
National Academies Press, 2022
The National Assessment of Educational Progress (NAEP) -- often called "The Nation's Report Card" -- is the largest nationally representative and continuing assessment of what students in public and private schools in the United States know and can do in various subjects and has provided policy makers and the public with invaluable…
Descriptors: Costs, Futures (of Society), National Competency Tests, Educational Trends
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Isaacs, Talia – Language Assessment Quarterly, 2018
This article brings to the fore trends in second language (L2) pronunciation research, teaching, and assessment by highlighting the ways in which pronunciation instructional priorities and assessment targets have shifted over time, social dimensions that, although presented in a different guise, appear to have remained static, and principles in…
Descriptors: Second Language Instruction, Pronunciation Instruction, Educational Trends, Student Educational Objectives
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Frolova, Elena V.; Rogach, Olga V.; Ryabova, Tatyana M. – European Journal of Contemporary Education, 2020
The paper presents the results of systematic review of modern scientific publications devoted to the digitalization of education. A review of Russian and foreign studies allows us to conclude that there is a relationship between high academic performance of students and the use of digital technologies. Other advantages of digitalization are:…
Descriptors: Publications, Scientific Research, Correlation, Academic Achievement
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