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Janse van Rensburg, Cecile; Coetzee, Stephen A.; Schmulian, Astrid – Assessment & Evaluation in Higher Education, 2022
This study reports on the incorporation of mobile instant messaging (MIM) in assessments, as a collaborative learning tool, to enable students to socially construct knowledge and develop their collaborative problem solving competence, while being assessed individually. In particular, this study explores: what is the extent and timing of students'…
Descriptors: Computer Mediated Communication, Student Evaluation, Peer Relationship, Cooperative Learning
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Paiva, José Carlos; Leal, José Paulo; Figueira, Álvaro – ACM Transactions on Computing Education, 2022
Practical programming competencies are critical to the success in computer science (CS) education and go-to-market of fresh graduates. Acquiring the required level of skills is a long journey of discovery, trial and error, and optimization seeking through a broad range of programming activities that learners must perform themselves. It is not…
Descriptors: Automation, Computer Assisted Testing, Student Evaluation, Computer Science Education
Cole, Shelbi K.; Swanson, Carey – Smarter Balanced Assessment Consortium, 2022
Over the past few years, several states have begun to explore or pilot different through-year assessments to serve as replacements to the traditional end-of-year summative assessments that are currently the predominant source of information used by states to meet federal accountability requirements. While there are several different assessment…
Descriptors: Instructional Materials, Computer Assisted Testing, Adaptive Testing, Student Evaluation
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Angxuan Chen; Yuyue Zhang; Jiyou Jia; Min Liang; Yingying Cha; Cher Ping Lim – Journal of Computer Assisted Learning, 2025
Background: Language assessment plays a pivotal role in language education, serving as a bridge between students' understanding and educators' instructional approaches. Recently, advancements in Artificial Intelligence (AI) technologies have introduced transformative possibilities for automating and personalising language assessments. Objectives:…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Assisted Testing, Language Tests
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Jennifer L. Reynolds; Kathleen B. Aspiranti; Erin E. C. Henze; Lauren M. Kall – Contemporary School Psychology, 2025
Technology in education is used to support and supplement core instruction, to help students stay engaged, and assist teachers with academic assessments. While there is support in the use of technology in instruction and intervention, researchers still urge caution when using it in assessment. Current evidence suggests that students perform…
Descriptors: Technology Uses in Education, Tablet Computers, Evaluation Methods, Computer Assisted Testing
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Kübra Karakaya Özyer – Journal of Social Studies Education Research, 2024
The study aims to assess online assessment practices in a public university, addressing questions about self-efficacy levels, tools used, challenges faced, and proposed solutions. The chosen methodology employs a cross-sectional survey design, collecting both quantitative and qualitative data from 50 instructors in Türkiye through a convenience…
Descriptors: Foreign Countries, Student Evaluation, Computer Assisted Testing, College Students
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Zhengyuan Liu – Education and Information Technologies, 2024
This study investigates the differential impacts of various online language assessment models--specifically, the Nonlinear Dynamic Individual-Centered Language Assessment (NDICLA), diagnostic assessment, and formative assessment--on the cognitive load and learning outcomes of English as a Foreign Language (EFL) learners within computer-assisted…
Descriptors: Computer Assisted Testing, Student Evaluation, Models, Second Language Learning
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Blaženka Divjak; Petra Žugec; Katarina Pažur Anicic – International Journal of Mathematical Education in Science and Technology, 2024
Assessment is among the inevitable components of a curriculum and directs students' learning. E-assessment, as prepared and administered with the use of ICT, provides opportunities to make the process easier in some aspects, but also brings certain challenges. This paper presents an e-assessment framework from a student perspective. Our study…
Descriptors: Student Evaluation, Computer Assisted Testing, Evaluation Methods, Student Attitudes
Ashish Gurung; Kirk Vanacore; Andrew A. McReynolds; Korinn S. Ostrow; Eamon S. Worden; Adam C. Sales; Neil T. Heffernan – Grantee Submission, 2024
Learning experience designers consistently balance the trade-off between open and close-ended activities. The growth and scalability of Computer Based Learning Platforms (CBLPs) have only magnified the importance of these design trade-offs. CBLPs often utilize close-ended activities (i.e. Multiple-Choice Questions [MCQs]) due to feasibility…
Descriptors: Multiple Choice Tests, Testing, Test Format, Computer Assisted Testing
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Saha, Sujan Kumar; Gupta, Rushali – Education and Information Technologies, 2020
The use of computers in educational assessment is a widely explored territory. Several studies have been performed to show the effectiveness of computer-assisted assessment (CAA) and it has been accepted in various education sectors. However, due to the lack of sufficient infrastructure and other issues, the paper-based examination is still being…
Descriptors: Computer Assisted Testing, Student Evaluation, Foreign Countries, Handwriting
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Lin, Linda; Foung, Dennis; Chen, Julia – Quality Assurance in Education: An International Perspective, 2023
Purpose: This study aims to examine the impact of the transformation of an assessment on students' performance and perspectives in an English for Academic Purposes course in Hong Kong. The assessment was changed from the traditional pen-and-paper mode to an unproctored online mode. Design/methodology/approach: Using mixed methods, the research…
Descriptors: Quality Assurance, Student Evaluation, English for Academic Purposes, Second Language Learning
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Necati Taskin; Kerem Erzurumlu – Asian Journal of Distance Education, 2023
In this study, online test scores and paper-pencil test scores of students studying through online learning were examined. Causal-comparative research was used to determine the distribution of students' test scores and to examine the relationship between them. The participants of the research are freshman students studying in 12 faculties and 8…
Descriptors: Computer Assisted Testing, Scores, Test Format, Paper (Material)
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Meccawy, Zilal; Meccawy, Maram; Alsobhi, Aisha – International Journal for Educational Integrity, 2021
This paper presents a cross-sectional study that demonstrates how King Abdulaziz University has responded to the lockdown imposed by the Ministry of Education in Saudi Arabia due to the COVID-19 pandemic. The purpose of this study was to examine the perceptions of students and faculty towards assessment that had to take place online due to…
Descriptors: Student Evaluation, Student Attitudes, Teacher Attitudes, College Students
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Pourdana, Natasha – Asian-Pacific Journal of Second and Foreign Language Education, 2022
Diagnostic assessment (DIA) is under-researched in second/foreign language education despite its common practice across a wide range of professions such as medicine, mechanics, and information technology. This study aimed at exploring the impact of computer-assisted DIA on the sustainable improvement of English-as-a-Foreign-Language (EFL)…
Descriptors: English (Second Language), Second Language Learning, Student Evaluation, Computer Assisted Testing
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Rowlett, Peter – International Journal of Mathematical Education in Science and Technology, 2022
A partially-automated method of assessment is proposed, in which automated question setting is used to generate individualized versions of a coursework assignment, which is completed by students and marked by hand. This is designed to be (a) comparable to a traditional written coursework assignment in validity, in that complex and open-ended tasks…
Descriptors: Mathematics Education, College Mathematics, Computer Assisted Testing, Evaluation Methods
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