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Johnson, Stuart; Maclean, John; Vozzo, Raymond F.; Koerber, Adrian; Humphries, Melissa A. – International Journal of Mathematical Education in Science and Technology, 2022
STEM educators have taken on a new and radically different reality: that students will have access to online tools and online knowledge as they undergo assessment. Students may look up facts that are easily available online, employ online tools and also employ paid services to cheat. The first wave of novel assessment strategies devised in…
Descriptors: Computer Assisted Testing, Evaluation Methods, Student Attitudes, STEM Education
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Al-Mwzaiji, Khaled Nasser Ali; Alzubi, Ali Abbas Falah – Asian-Pacific Journal of Second and Foreign Language Education, 2022
Students need more independent roles to evaluate their learning performance, especially in the absence of teachers' feedback due to some constraints such as technology and poor experience. This study investigates the potential of online self-evaluation on students' writing skills in English as a foreign language (EFL). It examines the preparatory…
Descriptors: Self Evaluation (Individuals), Writing Skills, English (Second Language), Second Language Instruction
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Sefcik, Lesley; Veeran-Colton, Terisha; Baird, Michael; Price, Connie; Steyn, Steve – Australasian Journal of Educational Technology, 2022
This study aimed to understand the effects of a custom-developed, artificial intelligence-based, asynchronous remote invigilation system on the student user experience. The study was conducted over 3 years at a large Australian university, and findings demonstrate that familiarity with the system over time improved student attitudes towards remote…
Descriptors: Usability, Users (Information), Student Attitudes, Supervision
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Madugula, Neelima; Allamsetty, Srikanth; Sinha, Abhinav; Mishra, Subhendu; Chandra, M. V. Satya Sai; Krishnan, Dhanya – Journal of Applied Research in Higher Education, 2023
Purpose: With the current COVID-19 outbreak, the majority of the higher educational institutes (HEI) are conducting online examinations to assess their students, where both teachers and students are facing various constraints. Under these circumstances, it is very important to understand the perspectives of teachers and students towards online…
Descriptors: Teacher Attitudes, Student Attitudes, COVID-19, Pandemics
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Hartnett, Maggie; Butler, Philippa; Rawlins, Peter – Journal of Computer Assisted Learning, 2023
Background: The emergence of the COVID-19 and the resulting global pandemic has ushered in far-reaching changes for countries across the world, not least of which are changes to their education systems. With traditional location-based exams no longer possible at universities, the uptake of online proctored exams (OPE) has occurred at a pace not…
Descriptors: COVID-19, Pandemics, Computer Assisted Testing, Supervision
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Chinmay Suryavanshi; Kirtana Raghurama Nayak – Advances in Physiology Education, 2025
Certainty-based marking (CBM) requires students to indicate their certainty levels alongside their answers. CBM has been shown to enhance self-assessment and metacognitive awareness. This study aimed to explore the implementation of CBM in multiple-choice assessments in physiology. The CBM assessment tool was developed with an artificial…
Descriptors: Foreign Countries, Multiple Choice Tests, Physiology, Artificial Intelligence
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Chaka Chaka; Thembeka Shange – Turkish Online Journal of Distance Education, 2024
This study reports on the experiences students registered for a first-year, undergraduate English Studies module and English Studies lecturers had with the Invigilator app during an online examination in the first semester of 2023. Current research indicates that e-proctoring induces anxiety and uncertainty in students when they write online…
Descriptors: Computer Oriented Programs, Computer Assisted Testing, Supervision, College Freshmen
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Hossein Navidinia; Adrian Naznean; Maha Sourani; Nargess Hekmati – Asia-Pacific Education Researcher, 2024
Online teaching has gained more momentum since the outbreak of the COVID-19 pandemic. While this mode offers many benefits, one major concern is maintaining academic integrity, as online instruction can provide more opportunities for cheating. This study aimed to explore students' attitudes toward cheating in online assessments (OAs) and any…
Descriptors: Ethics, Cheating, Computer Assisted Testing, COVID-19
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Marco Rüth; Maria Jansen; Kai Kaspar – Journal of Computer Assisted Learning, 2024
Background: Online exams have become a more common form of assessment at universities due to the COVID-19 pandemic. However, cheating behaviour in online exams is widespread and threatens exam validity as well as student learning and well-being. Objective: To better understand the role of university students' needs, conceptions and reasons…
Descriptors: Foreign Countries, College Students, Computer Assisted Testing, Cheating
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Katrin Klingbeil; Fabian Rösken; Bärbel Barzel; Florian Schacht; Kaye Stacey; Vicki Steinle; Daniel Thurm – ZDM: Mathematics Education, 2024
Assessing students' (mis)conceptions is a challenging task for teachers as well as for researchers. While individual assessment, for example through interviews, can provide deep insights into students' thinking, this is very time-consuming and therefore not feasible for whole classes or even larger settings. For those settings, automatically…
Descriptors: Multiple Choice Tests, Formative Evaluation, Mathematics Tests, Misconceptions
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Linda Amrane-Cooper; Stylianos Hatzipanagos; Liz Marr; Alan Tait – Open Praxis, 2024
The COVID-19 pandemic accelerated the shift to online assessment, prompting debates over validity, security, and increasingly the impact of Artificial Intelligence (AI) tools, especially generative AI, on traditional examination methods. This paper explores perceptions of the evolving landscape of online assessment and the role of AI within higher…
Descriptors: Computer Assisted Testing, Artificial Intelligence, Foreign Countries, Technology Uses in Education
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Bani Arora; Abdulghani Al-Hattami – Canadian Journal of Learning and Technology, 2024
This descriptive study examines the effectiveness of ZipGrade, a digital assessment tool, in the context of formative evaluations within classroom settings, focusing on its deployment for multiple-choice question quizzes. This research contributes to the dialogue on the integration of information and communication technology to promote quality…
Descriptors: Program Effectiveness, Formative Evaluation, Computer Assisted Testing, Technology Uses in Education
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Greg Gaynor; Kevin T. Wynne; Ting Zhang; Daniel Gerlowski; Joel N. Morse – Journal of Economic Education, 2024
The authors of this article examine the effect of online proctoring on exam scores with samples of proctored and unproctored students in an upper-level economics class. They document a proctoring discount (i.e., the tendency for lower scores on proctored exams versus on unproctored exams) and a relationship with students' perceptions measured by…
Descriptors: Computer Assisted Testing, Stress Variables, Economics Education, Online Courses
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Toan Bao Nguyen – International Society for Technology, Education, and Science, 2024
The use of Learning Management System (LMS) is widespread in academic institutions across worldwide as technology integration in education keeps evolving. This study aims at investigating students' acceptance of using LMS for online testing. Additionally, the study seeks to thoroughly examine the reasons that lead to their acceptance of this…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Learning Management Systems
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Berényi, László; Deutsch, Nikolett; Szolnoki, Bernadett; Birkner, Zoltán – Electronic Journal of e-Learning, 2021
The success of developing e-learning is determined by curriculum quality, the availability of technological requirements and, to an even greater extent, by user response to the technology introduced in the process. Digital enhancement of education through e-learning solutions should also take the unique attributes of the targeted local region,…
Descriptors: Student Attitudes, Electronic Learning, Foreign Countries, Engineering Education
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