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Anna Filighera; Sebastian Ochs; Tim Steuer; Thomas Tregel – International Journal of Artificial Intelligence in Education, 2024
Automatic grading models are valued for the time and effort saved during the instruction of large student bodies. Especially with the increasing digitization of education and interest in large-scale standardized testing, the popularity of automatic grading has risen to the point where commercial solutions are widely available and used. However,…
Descriptors: Cheating, Grading, Form Classes (Languages), Computer Software
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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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Shard; Devesh Kumar; Sapna Koul – International Journal of Information and Learning Technology, 2024
Purpose: This study aims to gain insights into how students perceive online examination practices and evaluation, as well as identify the key factors that impact their intentions toward online exams. Design/methodology/approach: This empirical study conducted in India utilized an online survey method between May 24 and June 14, 2022. The data were…
Descriptors: Foreign Countries, Undergraduate Students, Graduate Students, Student Attitudes
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Ally, Said – International Journal of Education and Development using Information and Communication Technology, 2022
Moodle software has become the heart of teaching and learning services in education. The software is viewed as a trusted modern platform for transforming learning and teaching modes from conventional face-to-face to fully online classes. However, its use for online examination is very limited despite having a state-of-the-art Quiz Module with…
Descriptors: Integrated Learning Systems, Computer Assisted Testing, Information Security, Evaluation Methods
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Duncan Culbreth; Rebekah Davis; Cigdem Meral; Florence Martin; Weichao Wang; Sejal Foxx – TechTrends: Linking Research and Practice to Improve Learning, 2025
Monitoring applications (MAs) use digital and online tools to collect and track data on student behavior, and they have become increasingly popular among schools. Empirical research on these complex surveillance platforms is scant, and little is known about the efficacy or impact that they have on students. This study used a multi-method…
Descriptors: High School Students, COVID-19, Pandemics, Progress Monitoring
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Borka Jerman Blažic; Andrej Jerman Blažic – International Society for Technology, Education, and Science, 2024
Based on an exhaustive study from 2001-2003 involving 14 high schools in the EU, a definition of the educational content and the aligned methodology for high school levels was developed for two areas--cyber safety and cybersecurity--with the aim of improving the knowledge and skills of students and their teachers. Available sources, including…
Descriptors: Teaching Methods, Computer Science Education, Information Security, Computer Security
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Lee, Chansoon; Qian, Hong – Educational and Psychological Measurement, 2022
Using classical test theory and item response theory, this study applied sequential procedures to a real operational item pool in a variable-length computerized adaptive testing (CAT) to detect items whose security may be compromised. Moreover, this study proposed a hybrid threshold approach to improve the detection power of the sequential…
Descriptors: Computer Assisted Testing, Adaptive Testing, Licensing Examinations (Professions), Item Response Theory
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Nonkanyiso Pamella Shabalala – Research in Social Sciences and Technology, 2024
The integration of Artificial Intelligence (AI) into Open Distance eLearning (ODeL) represents a significant evolution in STEM education, offering transformative benefits in teaching, learning and administrative processes. This conceptual paper explores how AI-driven platforms are revolutionising ODeL by providing personalised learning…
Descriptors: STEM Education, Distance Education, Artificial Intelligence, Educational Technology
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Yörük, Tayfun – Shanlax International Journal of Education, 2021
The aim of this study is to reveal the views of the practitioners regarding the measurement and evaluation sub-system of distance education applications in higher education. 11 faculty members working at Akdeniz University, determined with an easily accessible sampling of purposeful sampling methods, participated in this study in which qualitative…
Descriptors: Student Evaluation, Computer Assisted Testing, Educational Technology, Technology Integration
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Erdemir, Mustafa – Journal of Educational Technology, 2021
In the light of the opinion of 43 pre-service teachers who attended the online midterm exam of Physics-II course, the positive and negative aspects of the online exam, and their opinion about its effective use in the education process were tried to be determined. The pre-service teachers' opinions about their feelings during the online evaluation,…
Descriptors: Preservice Teachers, Student Attitudes, Computer Assisted Testing, Science Tests
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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
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Okada, Alexandra; Noguera, Ingrid; Alexieva, Lyubka; Rozeva, Anna; Kocdar, Serpil; Brouns, Francis; Ladonlahti, Tarja; Whitelock, Denise; Guerrero-Roldán, Ana-Elena – British Journal of Educational Technology, 2019
Checking the identity of students and authorship of their online submissions is a major concern in Higher Education due to the increasing amount of plagiarism and cheating using the Internet. The literature on the effects of e-authentication systems for teaching staff is very limited because it is a novel procedure for them. A considerable gap is…
Descriptors: Audits (Verification), Plagiarism, Cheating, Internet
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
Olson, John F.; Lazarus, Sheryl S.; Thurlow, Martha L.; Quanbeck, Mari – National Center on Educational Outcomes, 2021
This report provides a snapshot of how accommodated tests for students with disabilities, accessibility, alternate assessments, and other related issues were addressed in states' test security policies for 2020-21. Strong test security policies and procedures are needed to help ensure the integrity and validity of state assessments, yet some test…
Descriptors: Testing Accommodations, Information Security, State Policy, Policy Analysis
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Özdil, Gülsah; Simsek, Fatma Merve; Tugluk, Mehmet Nur – Southeast Asia Early Childhood, 2021
This is a comparative education study that aims to compare the digital documentation systems used in the preschool education programs and institutions in Turkey, Germany and Spain and to reveal the similarities and differences between these systems. The study was planned as a qualitative research in terms of its descriptive aspect, and as a…
Descriptors: Foreign Countries, Cultural Differences, Preschool Education, Evaluation Methods
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