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Nicholas Hobbs; Janet Steele – HAPS Educator, 2025
Formative assessment is a type of low-stakes assessment that can help reduce student anxiety and encourage students to engage in the course regularly. Formative assessment can also help instructors identify knowledge gaps. Students who had completed the first semester of a two-semester sophomore-level anatomy and physiology sequence were surveyed…
Descriptors: Anatomy, Physiology, Tests, Learner Engagement
Priya Harindranathan; James Folkestad; Jemshid K. – Journal of Educational Technology, 2025
Due to the use of online learning platforms and learning management systems, students are now working unsupervised on quiz-taking platforms. These unsupervised online forms of assessment are replacing traditional supervised quizzes in conventional classrooms. It is unclear whether the quiz-taking behaviors of students in these settings align with…
Descriptors: Undergraduate Students, Microbiology, Science Education, Computer Assisted Testing
Sarah N. Shakir; Ashley M. Virabouth; Mallory M. Rice – American Biology Teacher, 2025
Exam anxiety has been well-documented to reduce student performance in undergraduate biology courses, especially for students from marginalized groups, which can contribute to achievement gaps. Our exploratory study surveyed 61 undergraduate biology students to better understand how exams affect their anxiety levels, focusing on the impact of exam…
Descriptors: Undergraduate Students, College Science, Biology, Student Attitudes
Matthew D. Coss – Language Learning & Technology, 2025
The extent to which writing modality (i.e., hand-writing vs. keyboarding) impacts second-language (L2) writing assessment scores remains unclear. For alphabetic languages like English, research shows mixed results, documenting both equivalent and divergent scores between typed and handwritten tests (e.g., Barkaoui & Knouzi, 2018). However, for…
Descriptors: Computer Assisted Testing, Paper and Pencil Tests, Second Language Learning, Chinese
Jonathan Liu; Seth Poulsen; Erica Goodwin; Hongxuan Chen; Grace Williams; Yael Gertner; Diana Franklin – ACM Transactions on Computing Education, 2025
Algorithm design is a vital skill developed in most undergraduate Computer Science (CS) programs, but few research studies focus on pedagogy related to algorithms coursework. To understand the work that has been done in the area, we present a systematic survey and literature review of CS Education studies. We search for research that is both…
Descriptors: Teaching Methods, Algorithms, Design, Computer Science Education
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
Colette Melissa Kell; Yasmeen Thandar; Adelle Kemlall Bhundoo; Firoza Haffejee; Bongiwe Mbhele; Jennifer Ducray – Journal of Applied Research in Higher Education, 2025
Purpose: Academic integrity is vital to the success and sustainability of the academic project and particularly critical in the training of ethical and informed health professionals. Yet studies have found that cheating in online exams was commonplace during the COVID-19 pandemic. With the increased use of online and blended learning…
Descriptors: Foreign Countries, Universities, Integrity, Cheating
Juuso Henrik Nieminen; Eeva Haataja; Peter J. Cobb – Teaching in Higher Education, 2025
This study examines how authentic assessment could nurture students' epistemic agency: their sense of agency in using, evaluating and producing knowledge. Authentic assessment commonly emphasises 'realism' and 'employability skills'. As important as these ideas are, this approach to authentic assessment neglects the key academic value of…
Descriptors: Active Learning, Performance Based Assessment, Epistemology, Realism
Tadd Farmer; Michael C. Johnson; Jorin D. Larsen; Lance E. Davidson – Advances in Physiology Education, 2025
Team-based learning (TBL) is an active learning instructional strategy shown to improve student learning in large-enrollment courses. Although early implementations of TBL proved generally effective in an undergraduate exercise physiology course that delivered an online individual readiness assurance test (iRAT) before class, the instructor…
Descriptors: Cooperative Learning, Active Learning, Undergraduate Students, Exercise Physiology
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
A. Devisakti; M. I. Rohayati – TechTrends: Linking Research and Practice to Improve Learning, 2025
Students from diverse backgrounds often face challenges that are not in parallel with the evolution of equitable assessments in higher education. Thus, this study employed the UTAUT model with the inclusion of additional constructs, namely self-efficacy and technology awareness, to examine the intention to use online assessments among diverse…
Descriptors: Computer Assisted Testing, Student Diversity, Self Efficacy, Technological Literacy
Elahe Asadpour; Hooshang Yazdani – Journal of Educators Online, 2025
The advent of online learning in contemporary educational landscapes has established online examinations as key evaluative instruments. Despite their growing use, there remains a lack of scholarly inquiry into online examinations, academic integrity, and preventative measures against dishonesty. This research aims to explore the perceptions of 153…
Descriptors: Cheating, Computer Assisted Testing, Majors (Students), Grade Point Average
Rasha Mohamed Abdelrahman; Najeh Rajeh Alsalhi; Ahmad Mohammad Alzoubi; Abderrahim Benlahcene; Marei Ahmed; Abdalla Falah El-Mneizel – Educational Process: International Journal, 2025
Background/purpose: This study aims to better understand undergraduate students' perceptions of cheating in online learning programs at Ajman University, one of the higher education institutions in the United Arab Emirates. Materials/methods: The study used a descriptive method, employing a questionnaire instrument to collect data from faculty…
Descriptors: Foreign Countries, Undergraduate Students, Student Attitudes, Cheating
Jude Edeigba; Solomon Opare; Fawzi Laswad – Accounting Education, 2025
Given the debate in tertiary institutions on the use of technology for assessments due to the coronavirus (COVID-19) pandemic, we compare the performance of accounting students in proctored paper-based and online exams. We examine exam scores across different demographic variables to provide early insights into the impact of these demographics on…
Descriptors: Accounting, Business Education, Academic Achievement, Computer Assisted Testing
Dan Song; Alexander F. Tang – Language Learning & Technology, 2025
While many studies have addressed the benefits of technology-assisted L2 writing, limited research has delved into how generative artificial intelligence (GAI) supports students in completing their writing tasks in Mandarin Chinese. In this study, 26 university-level Mandarin Chinese foreign language students completed two writing tasks on two…
Descriptors: Artificial Intelligence, Second Language Learning, Standardized Tests, Writing Tests
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