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Agnew, Stephen; Kerr, Jane; Watt, Richard – Australasian Journal of Educational Technology, 2021
This research explored the effect of incentives to complete online quizzes during a course. When a 1% weighting incentive per quiz was removed, student engagement dropped dramatically. There is also evidence that students who continued to complete quizzes did so with less vigour, spending less time on each quiz, starting them later in the week and…
Descriptors: Student Behavior, Academic Achievement, Incentives, Behavior Modification
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Oncul, Bilal – International Technology and Education Journal, 2021
With the effect of the pandemic, higher education is maintained all over the world with the help of online education methods. How to make online exams, which are an important part of distance education processes, in a way to prevent cheating and illegal behavior is an important issue that brings with it discussions. This research, in which the…
Descriptors: Cheating, Computer Assisted Testing, Literature Reviews, Supervision
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Saxon, D. Patrick; Morante, Edward A. – Journal of Developmental Education, 2021
Recent research on entering college student assessment instruments and placement practices has been critical. Critics suggest that commonly used assessment instruments are inaccurate, misused, and lack predictive validity. This article describes valid criticisms and appropriate uses of assessment instruments. It also lists challenges and provides…
Descriptors: Student Evaluation, Student Placement, College Students, Evaluation Methods
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Ezi Apino; Edi Istiyono; Heri Retnawati; Widihastuti Widihastuti; Kana Hidayati – Journal of Pedagogical Research, 2024
Assessment of attitudes towards statistics [ATS] is needed to support the success of statistics education in tertiary institutions, so measuring instruments with high accuracy is required. However, existing instruments to measure ATS have not considered the use of technology as an essential variable affecting success in statistics education. The…
Descriptors: Foreign Countries, College Students, College Faculty, Statistics Education
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Pasackova, Jana – Turkish Online Journal of Educational Technology - TOJET, 2022
This paper deals with a course of mathematics at an university in the Czech Republic. This course is for incoming students. It prepares students for math entrance exams. During the coronavirus pandemic period (2020-2021) we taught the course online. We had to solve the problem with communication with students and obtain feedback from them. For…
Descriptors: Learner Engagement, Electronic Learning, Mathematics Education, College Students
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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
Edwin Ambrosio – ProQuest LLC, 2022
Assessments are some of the most common tools used to evaluate student learning. While exams have always been a part of evaluating how well students learn and retain information, the most effective way to administer them has always been debated. However, remarkably few studies have compared online and paper testing, and even fewer have examined…
Descriptors: Computer Science Education, Computer Assisted Testing, Test Format, Performance
Binglin Chen – ProQuest LLC, 2022
Assessment is a key component of education. Routine grading of students' work, however, is time consuming. Automating the grading process allows instructors to spend more of their time helping their students learn and engaging their students with more open-ended, creative activities. One way to automate grading is through computer-based…
Descriptors: College Students, STEM Education, Student Evaluation, Grading
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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
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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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Heil, Joana; Ifenthaler, Dirk – Online Learning, 2023
Online assessment is defined as a systematic method of gathering information about a learner and learning processes to draw inferences about the learner's dispositions. Online assessments provide opportunities for meaningful feedback and interactive support for learners as well as possible influences on the engagement of learners and learning…
Descriptors: Computer Assisted Testing, Higher Education, Literature Reviews, College Students
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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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Georgios Zacharis; Stamatios Papadakis – Educational Process: International Journal, 2025
Background/purpose: Generative artificial intelligence (GenAI) is often promoted as a transformative tool for assessment, yet evidence of its validity compared to human raters remains limited. This study examined whether an AI-based rater could be used interchangeably with trained faculty in scoring complex coursework. Materials/methods:…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Assisted Testing, Grading
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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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