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Richard Fendler; David Beard; Jonathan Godbey – Electronic Journal of e-Learning, 2024
The rapid growth of online education, especially since the pandemic, is presenting educators with numerous challenges. Chief among these is concern about academic dishonesty, especially on unproctored online exams. Students cheating on exams is not a new phenomenon. The topic has been discussed and debated within institutions of higher learning,…
Descriptors: Cheating, Computer Assisted Testing, Supervision, Student Behavior
Douglas Yeboah – Cogent Education, 2023
Computer-based test has been administered in e-learning environments as part of ICT integration in education. Recently, online test is gaining attention in both regular and distance education institutions, and students' preference or perception of an online test versus paper-based test is crucial in successful adoption or implementation of either…
Descriptors: Foreign Countries, Undergraduate Students, Test Format, Computer Assisted Testing
Gürbüz Ocak; Gülçin Karakus – Malaysian Online Journal of Educational Technology, 2024
The purpose of this study is to determine and compare how undergraduate students' attitudes towards on-line exams vary depending on gender and some technological variables. This study was carried out by using a survey method. As data collection tool, the Undergraduate Students Attitude Scale Towards On-line Exams which consists of 21 items, each…
Descriptors: Undergraduate Students, Student Attitudes, Attitude Change, Computer Assisted Testing
Henderson, Michael; Chung, Jennifer; Awdry, Rebecca; Mundy, Matthew; Bryant, Mike; Ashford, Cliff; Ryan, Kris – Assessment & Evaluation in Higher Education, 2023
Online examinations are a common experience in higher education. Their security is a key concern for education communities, and has resulted in a variety of cheating countermeasures. There is broad consensus in the literature that there is no one measure, including proctoring, which eradicates cheating behaviours. As a result, this study is…
Descriptors: Computer Assisted Testing, Cheating, College Students, Student Behavior
Surahman, Ence; Wang, Tzu-Hua – Journal of Computer Assisted Learning, 2022
Background: Academic dishonesty (AD) and trustworthy assessment (TA) are fundamental issues in the context of an online assessment. However, little systematic work currently exists on how researchers have explored AD and TA issues in online assessment practice. Objectives: Hence, this research aimed at investigating the latest findings regarding…
Descriptors: Ethics, Trust (Psychology), Computer Assisted Testing, Educational Technology
Thando Loliwe – Journal of Information Technology Education: Research, 2024
Aim/Purpose: This study examined the experiences of international students writing a typed e-assessment at the on-campus computer lab on the ExamOnline system. Background: After a computer-based typed summative examination was introduced for one of the MSc degree's modules in a UK university, it was critical to ascertain its inclusivity. The…
Descriptors: Foreign Countries, Foreign Students, Paper and Pencil Tests, Testing Accommodations
Maria Aristeidou; Simon Cross; Klaus-Dieter Rossade; Carlton Wood; Terri Rees; Patrizia Paci – Journal of Computer Assisted Learning, 2024
Background: Research into online exams in higher education has grown significantly, especially as they became common practice during the COVID-19 pandemic. However, previous studies focused on understanding individual factors that relate to students' dispositions towards online exams in 'traditional' universities. Moreover, there is little…
Descriptors: Higher Education, Computer Assisted Testing, COVID-19, Pandemics
Daminda Kuruppu, Kuruppu Achchige Dulani – International Journal of Educational Reform, 2022
The objective of this study was to outline the education reform approaches which could implement during online teaching and learning activities. The approaches consisted with online teaching, online mentoring /student induction programmes, online examinations and online guest lectures/webinars. The approaches practiced, were discussed in activity…
Descriptors: Educational Change, Interaction, Engineering Education, Distance Education
Roha M. Kaipa; Sarah Wendelbo – International Journal of Multilingualism, 2025
The research on language acquisition and retention has primarily focused on monolinguals and bilinguals, with comparatively few studies including trilinguals. To address this gap, the current study compares the acquisition and retention of a novel morphosyntactic rule in Spanish in twelve monolinguals, twelve bilinguals, and twelve trilinguals.…
Descriptors: Multilingualism, Second Language Instruction, Second Language Learning, Spanish
Carol Rentas; Ramapoza O'Dwyer; Rohini Ganjoo; Marcia A. Firmani; Cliff Cymrot; Yousif Barzani; Lisa S. Schwartz – International Journal of Distance Education Technologies, 2025
This study explored the relationships between English language proficiency and performance in online, asynchronous science courses. Each participant completed a Language Background Questionnaire (LBQ) to indicate if English was not their native language, thus categorizing them as an English Language Learner (ELL). The Combined English Language…
Descriptors: English Learners, Electronic Learning, Asynchronous Communication, Computer Assisted Testing
Jeff Ford; Rachel Erickson; Ha Le; Kaylee Vick; Jillian Downey – PRIMUS, 2024
In this study, we analyzed student participation and success in a college-level Calculus I course that utilized standards-based grading. By measuring the level to which students participate in this class structure, we were able to use a clustering algorithm that revealed multiple groupings of students that were distinct based on activity…
Descriptors: Calculus, Mathematics Instruction, Mathematics Achievement, Grades (Scholastic)
Duy M. Pham; Kirk P. Vanacore; Adam C. Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
Effective personalization of education requires knowing how each student will perform under certain conditions, given their specific characteristics. Thus, the demand for interpretable and precise estimation of heterogeneous treatment effects is ever-present. This paper outlines a new approach to this problem based on the Leave-One-Out Potential…
Descriptors: Middle School Students, Middle School Teachers, Middle School Mathematics, Algebra
Digital SAT® Score Relationships with Other Educational Measures: Early Convergent Validity Evidence
Marini, Jessica P.; Westrick, Paul A.; Young, Linda; Shaw, Emily J. – College Board, 2022
This study examines relationships between digital SAT scores and other relevant educational measures, such as high school grade point average (HSGPA), PSAT/NMSQT Total score, and Average AP Exam score, and compares those relationships to current paper and pencil SAT score relationships with the same measures. This information can provide…
Descriptors: Scores, College Entrance Examinations, Comparative Analysis, Test Format
Froehlich, Laura; Sassenberg, Kai; Jonkmann, Kathrin; Scheiter, Katharina; Stürmer, Stefan – Journal of Computer Assisted Learning, 2023
Background: The use of e-exams in higher education is increasing. However, the role of student diversity in the acceptance of e-exams is an under-researched topic. In the current study, we considered student diversity in terms of three sociodemographic characteristics (age, gender, and second language) and three dispositional student…
Descriptors: Student Diversity, Student Attitudes, Computer Assisted Testing, Student Characteristics
Missaoui, Siwar; Maalel, Ahmed – Education and Information Technologies, 2021
A student's profile defines the best way a student chooses to learn. It comprises information on student's characteristics such as background knowledge, learning style preference, goals, personality etc. The foremost challenge that the students experience in learning system is that they are unable to bring back relevant information based on their…
Descriptors: Profiles, Models, Computer Games, Cognitive Style