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Victoria Crisp; Sylvia Vitello; Abdullah Ali Khan; Heather Mahy; Sarah Hughes – Research Matters, 2025
This research set out to enhance our understanding of the exam techniques and types of written annotations or markings that learners may wish to use to support their thinking when taking digital multiple-choice exams. Additionally, we aimed to further explore issues around the factors that contribute to learners writing less rough work and…
Descriptors: Computer Assisted Testing, Test Format, Multiple Choice Tests, Notetaking
Yusuf Oc; Hela Hassen – Marketing Education Review, 2025
Driven by technological innovations, continuous digital expansion has transformed fundamentally the landscape of modern higher education, leading to discussions about evaluation techniques. The emergence of generative artificial intelligence raises questions about reliability and academic honesty regarding multiple-choice assessments in online…
Descriptors: Higher Education, Multiple Choice Tests, Computer Assisted Testing, Electronic Learning
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
Anela Hrnjicic; Adis Alihodžic – International Electronic Journal of Mathematics Education, 2024
Understanding the concepts related to real function is essential in learning mathematics. To determine how students understand these concepts, it is necessary to have an appropriate measurement tool. In this paper, we have created a web application using 32 items from conceptual understanding of real functions (CURF) item bank. We conducted a…
Descriptors: Mathematical Concepts, College Freshmen, Foreign Countries, Computer Assisted Testing
Yilmaz, Erdi Okan; Toker, Türker – International Journal of Psychology and Educational Studies, 2022
This study examines the online assessment-evaluation activities in distance education processes. The effects of different online exam application styles considering the online assessment-evaluation in distance education processes, including all programs of a higher education institution, were documented. The population for online…
Descriptors: Foreign Countries, Computer Assisted Testing, Test Format, Distance Education
Esteban Guevara Hidalgo – International Journal for Educational Integrity, 2025
The COVID-19 pandemic had a profound impact on education, forcing many teachers and students who were not used to online education to adapt to an unanticipated reality by improvising new teaching and learning methods. Within the realm of virtual education, the evaluation methods underwent a transformation, with some assessments shifting towards…
Descriptors: Foreign Countries, Higher Education, COVID-19, Pandemics
Kunal Sareen – Innovations in Education and Teaching International, 2024
This study examines the proficiency of Chat GPT, an AI language model, in answering questions on the Situational Judgement Test (SJT), a widely used assessment tool for evaluating the fundamental competencies of medical graduates in the UK. A total of 252 SJT questions from the "Oxford Assess and Progress: Situational Judgement" Test…
Descriptors: Ethics, Decision Making, Artificial Intelligence, Computer Software
C. H., Dhawaleswar Rao; Saha, Sujan Kumar – IEEE Transactions on Learning Technologies, 2023
Multiple-choice question (MCQ) plays a significant role in educational assessment. Automatic MCQ generation has been an active research area for years, and many systems have been developed for MCQ generation. Still, we could not find any system that generates accurate MCQs from school-level textbook contents that are useful in real examinations.…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Automation, Test Items
Katrin Klingbeil; Fabian Rösken; Bärbel Barzel; Florian Schacht; Kaye Stacey; Vicki Steinle; Daniel Thurm – ZDM: Mathematics Education, 2024
Assessing students' (mis)conceptions is a challenging task for teachers as well as for researchers. While individual assessment, for example through interviews, can provide deep insights into students' thinking, this is very time-consuming and therefore not feasible for whole classes or even larger settings. For those settings, automatically…
Descriptors: Multiple Choice Tests, Formative Evaluation, Mathematics Tests, Misconceptions
Stefan O'Grady – International Journal of Listening, 2025
Language assessment is increasingly computermediated. This development presents opportunities with new task formats and equally a need for renewed scrutiny of established conventions. Recent recommendations to increase integrated skills assessment in lecture comprehension tests is premised on empirical research that demonstrates enhanced construct…
Descriptors: Language Tests, Lecture Method, Listening Comprehension Tests, Multiple Choice Tests
Anneen Church – Perspectives in Education, 2023
Restrictions and challenges brought on by the COVID-19 pandemic challenged higher education institutions to innovate to keep reaching teaching and learning goals. In South Africa, existing social inequalities were exacerbated by the pandemic restrictions and many students faced severe challenges in terms of access and support to aid in their…
Descriptors: Foreign Countries, Writing Tests, Student Evaluation, COVID-19
Fisher, Jonathan – set: Research Information for Teachers, 2021
The Assessment Resource Banks (ARBs) offer an innovative space to explore how responsive assessment for learning can work off- and online with Aotearoa New Zealand teaching and learning situations. They are a freely available online repository of formative assessment tasks that link to "The New Zealand Curriculum" (Ministry of Education,…
Descriptors: Foreign Countries, Formative Evaluation, Computer Assisted Testing, Multiple Choice Tests
Naveed Saif; Sadaqat Ali; Abner Rubin; Soliman Aljarboa; Nabil Sharaf Almalki; Mrim M. Alnfiai; Faheem Khan; Sajid Ullah Khan – Educational Technology & Society, 2025
In the swiftly evolving landscape of education, the fusion of Artificial Intelligence's ingenuity with the dynamic capabilities of chat-bot technology has ignited a transformative paradigm shift. This convergence is not merely a technological integration but a profound reshaping of the fundamental principles of pedagogy, fundamentally redefining…
Descriptors: Artificial Intelligence, Technology Uses in Education, Readiness, Technological Literacy
Fadillah, Sarah Meilani; Ha, Minsu; Nuraeni, Eni; Indriyanti, Nurma Yunita – Malaysian Journal of Learning and Instruction, 2023
Purpose: Researchers discovered that when students were given the opportunity to change their answers, a majority changed their responses from incorrect to correct, and this change often increased the overall test results. What prompts students to modify their answers? This study aims to examine the modification of scientific reasoning test, with…
Descriptors: Science Tests, Multiple Choice Tests, Test Items, Decision Making
Foster, Colin; Woodhead, Simon; Barton, Craig; Clark-Wilson, Alison – Educational Studies in Mathematics, 2022
In this paper, we analyse a large, opportunistic dataset of responses (N = 219,826) to online, diagnostic multiple-choice mathematics questions, provided by 6-16-year-old UK school mathematics students (N = 7302). For each response, students were invited to indicate on a 5-point Likert-type scale how confident they were that their response was…
Descriptors: Foreign Countries, Elementary School Students, Secondary School Students, Multiple Choice Tests