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Nico Willert; Jonathan Thiemann – Technology, Knowledge and Learning, 2024
Manual composition of tasks and exams is a challenging and time-consuming task. Especially when exams are taken remotely without the personal monitoring by examiners, most exams can easily lose their integrity with the use of previously done exercises or student communication. This research introduces an approach that incorporates the principles…
Descriptors: Tests, Examiners, Foreign Countries, Multiple Choice Tests
Joanna Williamson – Research Matters, 2025
Teachers, examiners and assessment experts know from experience that some candidates annotate exam questions. "Annotation" includes anything the candidate writes or draws outside of the designated response space, such as underlining, jotting, circling, sketching and calculating. Annotations are of interest because they may evidence…
Descriptors: Mathematics, Tests, Documentation, Secondary Education
Personalized Recommendation in the Adaptive Learning System: The Role of Adaptive Testing Technology
Dai, Jing; Gu, Xiaoqing; Zhu, Jiawen – Journal of Educational Computing Research, 2023
Personalized recommendation plays an important role on content selection during the adaptive learning process. It is always a challenge on how to recommend effective items to improve learning performance. The aim of this study was to examine the feasibility of applying adaptive testing technology for personalized recommendation. We proposed the…
Descriptors: Individualized Instruction, Intelligent Tutoring Systems, Evaluation Methods, Tests
Tri Sedya Febrianti; Siti Fatimah; Yuni Fitriyah; Hanifah Nurhayati – International Journal of Education in Mathematics, Science and Technology, 2024
Assessing students' understanding of circle-related material through subjective tests is effective, though grading these tests can be challenging and often requires technological support. ChatGPT has shown promise in providing reliable and objective evaluations. Many teachers in Indonesia, however, continue to face difficulties integrating…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Scoring, Tests
Nurdin, Erdawati; MZ, Zubaidah Amir; Nufus, Hayatun; Thakur, Deepti; Shah, Firdous A.; Dube, Rakesh; Wijaya, Tommy Tanu – Malikussaleh Journal of Mathematics Learning, 2021
The COVID-19 outbreak has an impact on the provision of education. One of them is the process of online assessment or examination. Difficulties occur during online exams; weak supervision can increase cheating behavior among students. Generally, teachers or lecturers think about how to prevent this behavior. However, what if they are allowed to…
Descriptors: Mathematics Tests, Computer Assisted Testing, Cheating, Student Attitudes
María-del-Mar Romero-Alemán – Anatomical Sciences Education, 2024
The present retrospective, descriptive, and quasi-experimental study aimed to explore students' perceptions of traditional teaching combined with gamified and nongamified e-tests for postlecture reinforcement. Midterm knowledge retention and academic performance were also analyzed. The study was conducted from February 2021 to May 2022, involving…
Descriptors: Gamification, Tests, Computer Assisted Testing, Biology
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
Moravec, Lukáš; Jecmínek, Jakub; Kukalová, Gabriela – Journal on Efficiency and Responsibility in Education and Science, 2022
The COVID-19 pandemic outbreak has upended the educational system worldwide, possibly with severe long-term consequences as most training institutions were forced to move to an online environment. Given the sudden transition to remote education, the main objective of this contribution is to evaluate the impact of distance education on examination…
Descriptors: Tests, Scores, Foreign Countries, College Students
Parte, Laura; Mellado, Lucía – Online Learning, 2022
This study sheds light on the relation between assessment modalities and student behavior through linguistics styles, and academic performance. First, we examine the effect of assessment modalities (self-evaluation quizzes and summative quizzes) on academic performance. Using two modalities of online quizzes, we mainly focus on the student…
Descriptors: Academic Achievement, Distance Education, Tests, Student Attitudes
Esra Pinar Uça Günes; Nuray Gedik; Mehmet Ali Isikoglu; Baris Yigit; Ihsan Günes; Ayfer Beylik – Open Praxis, 2024
The primary objective of this manuscript is to examine the online assessment and exam security procedures during the pandemic, with a particular focus on higher education. In this context, the study investigates the measures employed by instructors, the challenges they encountered, and the strategies they employed to overcome these challenges in a…
Descriptors: Tests, Distance Education, Supervision, COVID-19
Jaber, Ahmad M. D.; Bawalsah, Joseph A.; Hiari, Mohammad O.; Musleh, Mohammad; Haimur, Talal – Cypriot Journal of Educational Sciences, 2022
This study suggests a digital assessment tool - Smart Equation Exam System (SEED) - as a substitute for traditional multiple-choice and paper and pen exams. SEED includes a question bank, an answer platform, mathematical equations, and physics formulae. The novelty of SEED is that it allows all students with or without physical disabilities via…
Descriptors: Student Attitudes, Computer Assisted Testing, Students with Disabilities, Physical Disabilities
Pasackova, Jana – Turkish Online Journal of Educational Technology - TOJET, 2022
This paper deals with a course of mathematics at an university in the Czech Republic. This course is for incoming students. It prepares students for math entrance exams. During the coronavirus pandemic period (2020-2021) we taught the course online. We had to solve the problem with communication with students and obtain feedback from them. For…
Descriptors: Learner Engagement, Electronic Learning, Mathematics Education, College Students
Natalie Bleijlevens; Tanya Behne – Developmental Psychology, 2024
Upon hearing a novel label, listeners tend to assume that it refers to a novel, rather than a familiar object. While this disambiguation or mutual exclusivity (ME) effect has been robustly shown across development, it is unclear what it involves. Do listeners use their pragmatic and lexical knowledge to exclude the familiar object and thus select…
Descriptors: Ambiguity (Semantics), Toddlers, Adults, Cognitive Mapping
Yildirim, Ibrahim; Çirak-Kurt, Sevilay – International Journal of Contemporary Educational Research, 2022
The emergent COVID-19 pandemic in Wuhan, China, at the end of 2019 has affected the whole world in a short time. Therefore, schools have been closed worldwide, and online learning opportunities have been exploited. Although lessons are taught online, problems have been experienced about measuring and evaluating lessons. This quasi-experimental…
Descriptors: Scores, Evaluation Methods, Computer Assisted Testing, Academic Achievement
Weir, Iain; Gwynllyw, Rhys; Henderson, Karen – Journal of University Teaching and Learning Practice, 2021
The need to be able to choose, perform and interpret the results from appropriate statistical tests is ubiquitous in many STEM disciplines and beyond. In this case study, we illustrate a learning and assessment approach that has been used successfully for first year Business School students taking a module on Business Decision Making for Marketing…
Descriptors: Case Studies, Computer Assisted Testing, Statistics Education, Student Evaluation