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Jinshui Wang; Shuguang Chen; Zhengyi Tang; Pengchen Lin; Yupeng Wang – Education and Information Technologies, 2025
Mastering SQL programming skills is fundamental in computer science education, and Online Judging Systems (OJS) play a critical role in automatically assessing SQL codes, improving the accuracy and efficiency of evaluations. However, these systems are vulnerable to manipulation by students who can submit "cheating codes" that pass the…
Descriptors: Programming, Computer Science Education, Cheating, Computer Assisted Testing
Tay McEdwards; Greta R. Underhill – Online Journal of Distance Learning Administration, 2025
Online learning has steadily increased since well before the COVID-19 pandemic (Seaman et al., 2018), but research has yet to explore online students' perceptions of online exam proctoring methods. The purpose of this exploratory study was to understand the perceptions of fully online students regarding types of proctoring at a large state…
Descriptors: Supervision, Computer Assisted Testing, Electronic Learning, Student Attitudes
Yusuf Oc; Hela Hassen – Marketing Education Review, 2025
Driven by technological innovations, continuous digital expansion has transformed fundamentally the landscape of modern higher education, leading to discussions about evaluation techniques. The emergence of generative artificial intelligence raises questions about reliability and academic honesty regarding multiple-choice assessments in online…
Descriptors: Higher Education, Multiple Choice Tests, Computer Assisted Testing, Electronic Learning
Abdessamad Chanaa; Nour-eddine El Faddouli – Journal of Education and Learning (EduLearn), 2024
Adaptive online learning can be realized through the evaluation of the learning process. Monitoring and supervising learners' cognitive levels and adjusting learning strategies can increasingly improve the quality of online learning. This analysis is made possible by real-time measurement of learners' cognitive levels during the online learning…
Descriptors: Electronic Learning, Evaluation Methods, Artificial Intelligence, Taxonomy
Francisco Ortin; Alonso Gago; Jose Quiroga; Miguel Garcia – International Educational Data Mining Society, 2025
Online learning has enhanced accessibility in education, but also poses significant challenges in maintaining academic integrity during online exams, particularly when students are prohibited from accessing unauthorized resources through the Internet. Nonetheless, students must remain connected to the Internet in order to take the online exam.…
Descriptors: Electronic Learning, Computer Assisted Testing, Access to Internet, Synchronous Communication
Lam Ky Nhan – Turkish Online Journal of Distance Education, 2025
This study investigates the impact of artificial intelligence (AI) on personalized learning, automated assessment and feedback, intelligent tutoring systems, and student engagement in online learning environments. The research focuses on fourth-year English major students at a university in the Mekong Delta region, utilizing a mixed-methods…
Descriptors: Artificial Intelligence, Individualized Instruction, Automation, Computer Assisted Testing
Leonid Chernovaty – Advanced Education, 2024
This first attempt aims to determine the extent of students' covert use of machine translation (MT) in the online assessment of their sight translation, the strategies of such use, and its signs. The study is based on the analysis of target texts (TT) of specialised online sight translation from Ukrainian into English by 13 BA and 10 MA students.…
Descriptors: Computer Assisted Testing, Translation, Ukrainian, English (Second Language)
Kenneth W. O'Connor – ProQuest LLC, 2023
Higher education is examining artificial intelligence (AI) as a key to increasing productivity and efficiency as colleges race to remain relevant and competitive in a rapidly evolving industry. With the increase of students taking online classes, professors are looking for solutions to help maintain integrity with their testing remotely. AI has…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Assisted Testing, Electronic Learning
Zheng, Lanqin; Long, Miaolang; Chen, Bodong; Fan, Yunchao – International Journal of Educational Technology in Higher Education, 2023
Online collaborative learning is implemented extensively in higher education. Nevertheless, it remains challenging to help learners achieve high-level group performance, knowledge elaboration, and socially shared regulation in online collaborative learning. To cope with these challenges, this study proposes and evaluates a novel automated…
Descriptors: Learning Analytics, Computer Assisted Testing, Cooperative Learning, Graphs
Alexander Stanoyevitch – Discover Education, 2024
Online education, while not a new phenomenon, underwent a monumental shift during the COVID-19 pandemic, pushing educators and students alike into the uncharted waters of full-time digital learning. With this shift came renewed concerns about the integrity of online assessments. Amidst a landscape rapidly being reshaped by online exam/homework…
Descriptors: Computer Assisted Testing, Student Evaluation, Artificial Intelligence, Electronic Learning
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
Jia, Jiyou; He, Yunfan – Interactive Technology and Smart Education, 2022
Purpose: The purpose of this study is to design and implement an intelligent online proctoring system (IOPS) by using the advantage of artificial intelligence technology in order to monitor the online exam, which is urgently needed in online learning settings worldwide. As a pilot application, the authors used this system in an authentic…
Descriptors: Artificial Intelligence, Supervision, Computer Assisted Testing, Electronic Learning
Gudiño Paredes, Sandra; Jasso Peña, Felipe de Jesús; de La Fuente Alcazar, Juana María – Distance Education, 2021
After almost a year of COVID-19, distance education mediated by digital tools prevails as an ideal way to study given the flexibility, ubiquity, and a variety of tools that make the process more acceptable. Remote proctored exams have become an important tool to ensure integrity and academic honesty in distance education. This mixed methods study…
Descriptors: Distance Education, Computer Assisted Testing, Integrity, Electronic Learning
Geoffrey Converse – ProQuest LLC, 2021
In educational measurement, Item Response Theory (IRT) provides a means of quantifying student knowledge. Specifically, IRT models the probability of a student answering a particular item correctly as a function of the student's continuous-valued latent abilities [theta] (e.g. add, subtract, multiply, divide) and parameters associated with the…
Descriptors: Item Response Theory, Test Validity, Student Evaluation, Computer Assisted Testing
Nunes, Miguel Baptista, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2021
These proceedings contain the papers of the 15th International Conference on e-Learning (EL 2021), which was organised by the International Association for Development of the Information Society (IADIS), July 20-22, 2021. This conference is part of the 15th Multi Conference on Computer Science and Information Systems (MCCSIS), July 20-23, 2021,…
Descriptors: Electronic Learning, Educational Technology, Technological Literacy, Second Language Learning
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