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Hon Keung Yau; Choi Ho Man – Turkish Online Journal of Educational Technology - TOJET, 2025
This study explores Hong Kong higher education students' perceptions of E-assessment systems, focusing on factors shaping acceptance of E-examinations over traditional formats. Quantitative analysis of 107 respondents reveals significant positive correlations between diverse pre-exam guidance (e.g., tutorials) and key system features (e.g.,…
Descriptors: Foreign Countries, College Students, Student Attitudes, Computer Assisted Testing
Jian Zhao; Elaine Chapman; Peyman G. P. Sabet – Education Research and Perspectives, 2024
The launch of ChatGPT and the rapid proliferation of generative AI (GenAI) have brought transformative changes to education, particularly in the field of assessment. This has prompted a fundamental rethinking of traditional assessment practices, presenting both opportunities and challenges in evaluating student learning. While numerous studies…
Descriptors: Literature Reviews, Artificial Intelligence, Evaluation Methods, Student Evaluation
Arif Cem Topuz; Kinshuk – Educational Technology Research and Development, 2024
Online assessments of learning, or online exams, have become increasingly widespread with the rise of distance learning. Online exams are preferred by many students and are perceived as a quick and easy tool to measure knowledge. On the contrary, some students are concerned about the possibility of cheating and technological difficulties in online…
Descriptors: Computer Assisted Testing, Student Evaluation, Evaluation Methods, Student Attitudes
Ilhama Mammadova; Fatime Ismayilli; Elnaz Aliyeva; Narmin Mammadova – Educational Process: International Journal, 2025
Background/purpose: Artificial Intelligence (AI) is increasingly shaping assessment practices in higher education, promising faster feedback and reduced instructor workload while also raising concerns about fairness and transparency. This study examines how AI technologies are transforming assessment processes and the experiences of stakeholders.…
Descriptors: Artificial Intelligence, Student Evaluation, Technology Uses in Education, Undergraduate Students
Marilyn U. Balagtas; Aurora B. Fulgencio; Joyce L. Bautista; Alvin B. Barcelona; Shiela Marie P. Jandusay; Ma. Danielle Renee Lim – Journal of Educators Online, 2025
The convenience and flexibility of online assessments can be beneficial in a variety of ways, but they can also pose risks and challenges, such as potential academic dishonesty by students. This study included 73 master's and doctoral students and investigated the relationship among their attitudes, experiences, and performance in an online…
Descriptors: Graduate Students, Student Attitudes, Student Experience, Academic Achievement
Amr Selim Wannas; Marwa M. AbdelMohsen – Knowledge Management & E-Learning, 2025
The global pandemic caused by COVID-19 has acted as a significant driver for the adoption of online educational practices, including instruction and assessment. Given the urgent need for an alternative to traditional assessment methods during the pandemic, various studies have explored this topic across different contexts to evaluate the impact,…
Descriptors: English (Second Language), Computer Assisted Testing, Second Language Learning, Second Language Instruction
Seyma Yildirim-Erbasli; Okan Bulut; Carrie Demmans Epp; Ying Cui – Educational Technology Research and Development, 2025
Conversational agents have been designed to improve instruction quality and support student learning. In addition to their instructional use, they can be incorporated into assessment--conversation-based assessment (CBA). This study primarily introduces a CBA with selected-response and constructed-response tests as a formative assessment tool for…
Descriptors: Higher Education, Artificial Intelligence, Computer Mediated Communication, Technology Uses in Education
Baryktabasov, Kasym; Jumabaeva, Chinara; Brimkulov, Ulan – Research in Learning Technology, 2023
Many examinations with thousands of participating students are organized worldwide every year. Usually, this large number of students sit the exams simultaneously and answer almost the same set of questions. This method of learning assessment requires tremendous effort and resources to prepare the venues, print question books and organize the…
Descriptors: Information Technology, Computer Assisted Testing, Test Items, Adaptive Testing
Valizadeh, Mohammadreza – Turkish Online Journal of Distance Education, 2022
This study aimed at highlighting the Turkish higher education learners' perceptions of cheating on online learning programs, the ways of, causes for, and some suggestions to minimize cheating. Both quantitative and qualitative data were gathered from 163 online learners via a questionnaire including both open-ended and close-ended questions. Data…
Descriptors: Foreign Countries, Online Courses, Cheating, Student Attitudes
Sibel Sadi Yilmaz – Shanlax International Journal of Education, 2023
The purpose of this study is to examine the views of the course teacher, students' and participant researcher's field notes about traditional (smart board, pen and paper, oral) and Web 2.0 supported (A Sample of Kahoot) formative assessment in 5th grade science course. The study employed case study design. The participants of the study were a…
Descriptors: Teacher Attitudes, Student Attitudes, Computer Assisted Testing, Formative Evaluation
Meagan Karvonen; Russell Swinburne Romine; Amy K. Clark – Practical Assessment, Research & Evaluation, 2024
This paper describes methods and findings from student cognitive labs, teacher cognitive labs, and test administration observations as evidence evaluated in a validity argument for a computer-based alternate assessment for students with significant cognitive disabilities. Validity of score interpretations and uses for alternate assessments based…
Descriptors: Students with Disabilities, Intellectual Disability, Severe Disabilities, Student Evaluation
Reza Taherkhani; Saba Aref – Journal of Academic Ethics, 2024
The current study aimed to explore effective strategies for preventing cheating in online examinations by surveying students to determine their cheating strategies. A total of 406 Iranian students at BA, MA, and PhD levels in four programs, including English language teaching, English literature, Linguistics, and English language translation,…
Descriptors: Cheating, Computer Assisted Testing, Educational Strategies, English (Second Language)
Kelli Nicola-Richmond; Phillip Dawson; Helen Partridge – Higher Education Research and Development, 2024
Remote proctoring of exams is one of the most divisive issues in higher education. Critiques of remote proctoring abound, and there are a variety of perspectives particularly in relation to the advantages and disadvantages of this type of assessment, and opportunities for cheating. However, these perspectives are largely based on rhetoric with…
Descriptors: Supervision, Student Evaluation, Computer Assisted Testing, Distance Education
Afrah Assi; Anat Cohen – International Journal of Science Education, 2024
The study implements and investigates an innovative learning approach that incorporates Flipped Classroom (FC) methodologies and electronic assessment (e-assessment) in Context-Based Learning (CBL) in chemistry among middle school students. The study incorporated mixed methods strategies and (a) examined learners' attitudes toward and perceptions…
Descriptors: Relevance (Education), Flipped Classroom, Middle School Students, Science Education
Calvin D. De Louche; Charles Taylor; Veronique B. N. Weiss; Damian Amendra; Janet Philp; Rachel Parrott; Samuel Hall; Scott Border – Anatomical Sciences Education, 2024
Neuroanatomy is a notoriously challenging subject for medical students to learn. Due to the coronavirus disease-19 (COVID-19) pandemic, anatomical education transitioned to an online format. We assessed student performance in, and attitudes toward, an online neuroanatomy assessment compared to an in-person equivalent, as a marker of the efficacy…
Descriptors: Neurosciences, Anatomy, Distance Education, COVID-19

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