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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
Maristela Petrovic-Dzerdz – Collected Essays on Learning and Teaching, 2024
Large introductory classes, with their expansive curriculum, demand assessment strategies that blend efficiency with reliability, prompting the consideration of multiple-choice (MC) tests as a viable option. Crafting a high-quality MC test, however, necessitates a meticulous process involving reflection on assessment format appropriateness, test…
Descriptors: Multiple Choice Tests, Test Construction, Test Items, Alignment (Education)
Richard Say; Denis Visentin; Annette Saunders; Iain Atherton; Andrea Carr; Carolyn King – Journal of Computer Assisted Learning, 2024
Background: Formative online multiple-choice tests are ubiquitous in higher education and potentially powerful learning tools. However, commonly used feedback approaches in online multiple-choice tests can discourage meaningful engagement and enable strategies, such as trial-and-error, that circumvent intended learning outcomes. These strategies…
Descriptors: Feedback (Response), Self Management, Formative Evaluation, Multiple Choice Tests
Mehmet Kanik – International Journal of Assessment Tools in Education, 2024
ChatGPT has surged interest to cause people to look for its use in different tasks. However, before allowing it to replace humans, its capabilities should be investigated. As ChatGPT has potential for use in testing and assessment, this study aims to investigate the questions generated by ChatGPT by comparing them to those written by a course…
Descriptors: Artificial Intelligence, Testing, Multiple Choice Tests, Test Construction
Philip Newton; Maira Xiromeriti – Assessment & Evaluation in Higher Education, 2024
Media coverage suggests that ChatGPT can pass examinations based on multiple choice questions (MCQs), including those used to qualify doctors, lawyers, scientists etc. This poses a potential risk to the integrity of those examinations. We reviewed current research evidence regarding the performance of ChatGPT on MCQ-based examinations in higher…
Descriptors: Multiple Choice Tests, Artificial Intelligence, Integrity, Computer Software
Hubert Izienicki – Teaching Sociology, 2024
Many instructors use a syllabus quiz to ensure that students learn and understand the content of the syllabus. In this project, I move beyond this exercise's primary function and examine students' syllabus quiz scores to see if they can predict how well students perform in the course overall. Using data from 495 students enrolled in 18 sections of…
Descriptors: Tests, Course Descriptions, Performance, Predictor Variables
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
Harun Bayer; Fazilet Gül Ince Araci; Gülsah Gürkan – International Journal of Technology in Education and Science, 2024
The rapid advancement of artificial intelligence technologies, their pervasive use in every field, and the growing understanding of the benefits they bring have led actors in the education sector to pursue research in this field. In particular, the use of artificial intelligence tools has become more prevalent in the education sector due to the…
Descriptors: Artificial Intelligence, Computer Software, Computational Linguistics, Technology Uses in Education
Miller, Ronald Mellado; Andrade, Maureen Snow – Research & Practice in Assessment, 2020
Technology use is increasing in higher education, particularly for test administration. In this study, Capaldi's (1994) sequential theory, which postulates that the specific order of reinforcements and nonreinforcements influences persistence in the face of difficulty or failure, was applied to online multiple choice testing situations in regard…
Descriptors: Computer Assisted Testing, Higher Education, Multiple Choice Tests, Test Format
Page, Angela – Online Learning, 2022
It is widely recognised that the development of higher order thinking skills is a fundamental goal of higher education. There are a variety of online tools that assist the development of student higher order thinking. In this paper, a process of scaffolding for the writing of higher-order questions enabled through peer learning activities is…
Descriptors: Thinking Skills, Higher Education, Cooperative Learning, Skill Development
Cheewasukthaworn, Kanchana – PASAA: Journal of Language Teaching and Learning in Thailand, 2022
In 2016, the Office of the Higher Education Commission issued a directive requiring all higher education institutions in Thailand to have their students take a standardized English proficiency test. According to the directive, the test's results had to align with the Common European Framework of Reference for Languages (CEFR). In response to this…
Descriptors: Test Construction, Standardized Tests, Language Tests, English (Second Language)
Omarov, Nazarbek Bakytbekovich; Mohammed, Aisha; Alghurabi, Ammar Muhi Khleel; Alallo, Hajir Mahmood Ibrahim; Ali, Yusra Mohammed; Hassan, Aalaa Yaseen; Demeuova, Lyazat; Viktorovna, Shvedova Irina; Nazym, Bekenova; Al Khateeb, Nashaat Sultan Afif – International Journal of Language Testing, 2023
The Multiple-choice (MC) item format is commonly used in educational assessments due to its economy and effectiveness across a variety of content domains. However, numerous studies have examined the quality of MC items in high-stakes and higher-education assessments and found many flawed items, especially in terms of distractors. These faulty…
Descriptors: Test Items, Multiple Choice Tests, Item Response Theory, English (Second Language)
Yarbro, Jeffrey T.; Olney, Andrew M. – Grantee Submission, 2021
This paper explores the concept of dynamically generating definitions using a deep-learning model. We do this by creating a dataset that contains definition entries and contexts associated with each definition. We then fine-tune a GPT-2 based model on the dataset to allow the model to generate contextual definitions. We evaluate our model with…
Descriptors: Definitions, Learning Processes, Models, Context Effect
Divayana, Dewa Gede Hendra; Adiarta, Agus; Suyasa, P. Wayan Arta – Journal of Technology and Science Education, 2021
One of the free platforms made by IT companies in the education sector in Indonesia can be used to facilitate online learning at home during the "COVID-19" pandemic. The platform is called the "SEVIMA EdLink." This platform needs to be known by academics and the wider community of education in the world. This platform provides…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, School Closing