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Rutkowski, David; Rutkowski, Leslie; Flores, Charity – Educational Assessment, 2022
As more states move to universal computer-based assessments, an emergent issue concerns the effect that device type might have on student results. Although, several research studies have explored device effects, most of these studies focused on the differences between tablets and desktops/laptops. In the current study, we distinguish between…
Descriptors: Computer Assisted Testing, Computers, Laptop Computers, Handheld Devices
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Lubrick, Mark; Wellington, Bill – Journal of Learning and Teaching in Digital Age, 2022
Background: Using online low stakes MCQ quizzing as a formative learning method is common in many introductory courses; allowing for rapid student feedback. Purposes: A comparative study of two different approaches for administering low stakes multiple choice quizzes as tools to enhance formative learning in a large-lecture introductory marketing…
Descriptors: Formative Evaluation, Computer Assisted Testing, Multiple Choice Tests, Introductory Courses
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Taskenbayeva, Zhuldyz; Abdyrov, Aitzhan; Muratova, Gulzhan; Kaltayeva, Gulnar; ?oxegen, Aliya; Smailova, Laila – World Journal on Educational Technology: Current Issues, 2022
The purpose of this research; It is the evaluation of scientific and methodological foundations for the organization of the educational process in distance education conditions with student views. The research was based on the qualitative research method. The participant group of the research consists of 125 university students studying in various…
Descriptors: Distance Education, Student Attitudes, College Students, Program Effectiveness
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Ng, Emily – International Journal of Adult Education and Technology, 2020
The resources and time constraints of assessing large classes are always weighed up against the validity, reliability, and learning outcomes of the assessment tasks. With the digital revolution in the 21st Century, educators can benefit from computer technology to carry out a large-scale assessment in higher education more efficiently. In this…
Descriptors: Nursing Students, Computer Assisted Testing, Student Evaluation, Multiple Choice Tests
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Yerushalmy, Michal; Olsher, Shai – ZDM: The International Journal on Mathematics Education, 2020
We argue that examples can do more than serve the purpose of illustrating the truth of an existential statement or disconfirming the truth of a universal statement. Our argument is relevant to the use of technology in classroom assessment. A central challenge of computer-assisted assessment is to develop ways of collecting rich and complex data…
Descriptors: Computer Assisted Testing, Student Evaluation, Problem Solving, Thinking Skills
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Smith, Chad; Allman, Tamby – Psychology in the Schools, 2020
The purpose of this article is to support members of a student's multidisciplinary team to identify complex factors involved in providing valid classroom-based assessment data, including issues surrounding technology-based assessment for students who are deaf or hard of hearing (DHH). The diversity of this population creates unique challenges in…
Descriptors: Deafness, Hearing Impairments, Student Evaluation, Computer Assisted Testing
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Kusairi, Sentot – Journal of Technology and Science Education, 2020
Formative feedback plays an important role in assisting students in their learning process. However, administering information about student weaknesses and strengths is one of the challenges faced by teachers when implementing formative assessment. This study aims to develop a web-based formative feedback system that is able to provide specific…
Descriptors: Student Evaluation, Formative Evaluation, Feedback (Response), Computer Assisted Testing
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Archer, Elizabeth – Perspectives in Education, 2023
The COVID-19 pandemic has led to rapid change, unprecedented in higher education. One such change has been the almost complete shift to online assessment. The simultaneous employment of online assessment and proctoring has not enjoyed the rigorous academic debate and research traditionally associated with such shifts in academia. This engagement…
Descriptors: Computer Assisted Testing, Supervision, Technology Uses in Education, Social Justice
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Nejdet Karadag – Journal of Educational Technology and Online Learning, 2023
The purpose of this study is to examine the impact of artificial intelligence (AI) on online assessment in the context of opportunities and threats based on the literature. To this end, 19 articles related to the AI tool ChatGPT and online assessment were analysed through rapid literature review. In the content analysis, the themes of "AI's…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Natural Language Processing, Grading
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Almossa, Samar Yakoob; Alzahrani, Sahar Matar – International Journal for Educational Integrity, 2022
In an era where conditions for education are rapidly changing globally, online assessment presents several opportunities as well as challenges in the higher education landscape. The forceful transition from face-to-face to online assessments, as part of the emergency implementation of online learning due to the COVID-19 pandemic, has affected…
Descriptors: COVID-19, Pandemics, Computer Assisted Testing, Online Courses
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Tang, Thuy Thi; Nguyen, Thuy Nga; Tran, Huong Thi Thu – Contemporary Educational Technology, 2022
The purpose of this study is to examine factors that influence teachers' intentions to use technology in assessments using the technology acceptance model (TAM) as a framework. An online survey was utilized to collect data, and 360 teachers participated in the survey. This study used partial least squares-structural equation modelling (PLS-SEM) to…
Descriptors: Foreign Countries, Teacher Attitudes, Computer Attitudes, Technology Integration
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Hakelind, Camilla; Sundström, Anna E. – Psychology Learning and Teaching, 2022
Finding valid and reliable ways to assess complex clinical skills within psychology is a challenge. Recently, there have been some examples of applying Objective Structured Clinical Examinations (OSCEs) in psychology for making such assessments. The aim of this study was to examine students' and examiners' perceptions of a digital OSCE in…
Descriptors: Graduate Students, Masters Programs, Clinical Psychology, Student Evaluation
Chan, Cecilia Ka Yuk – Routledge Research in Education, 2022
Chan's book explores the challenges in assessing experiential learning, deepens our understanding, and inspires readers to think critically about the purpose of assessment in experiential learning. Experiential learning has been studied and proven to be effective for student learning, particularly for the development of holistic competencies (i.e.…
Descriptors: Experiential Learning, Evaluation Methods, Student Evaluation, 21st Century Skills
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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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Haldeman, Georgiana; Babes-Vroman Monica; Tjang, Andrew; Nguyen, Thu D. – ACM Transactions on Computing Education, 2021
Autograding systems are being increasingly deployed to meet the challenges of teaching programming at scale. Studies show that formative feedback can greatly help novices learn programming. This work extends an autograder, enabling it to provide formative feedback on programming assignment submissions. Our methodology starts with the design of a…
Descriptors: Student Evaluation, Feedback (Response), Grading, Automation
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