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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
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David Eubanks; Scott A. Moore – Assessment Update, 2025
Assessment and institutional research offices have too much data and too little time. Standard reporting often crowds out opportunities for innovative research. Fortunately, advancements in data science now offer a clear solution. It is equal parts technique and philosophy. The first and easiest step is to modernize data work. This column…
Descriptors: Higher Education, Educational Assessment, Data Science, Research Methodology
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Faith Sylvester Orim; Usani Joseph Ofem; Imelda Barong Edam-Agbor; Nsan Njar Nsan; John Arikpo Okri; Patience Ekpang; Blessing Ogunjimi; Isu Michael Egbe; James Omaji Ukatu; Cecilia Undie Angrey; Moses Agba Undie; Oluwaseun Akin-Fakorede; Dymphina Abua; Peace Asukwo – Discover Education, 2025
The current educational landscape is flooded with new technological tools, especially with the arrival of artificial intelligence, which is applicable at all levels of instructional practices. However, the application of technology in assessment in higher education has been understudied. This study focused on filling this research gap by examining…
Descriptors: Higher Education, College Faculty, Computer Assisted Testing, Technology Integration
Marivic G. Molina; Erna V. Yabut – Journal of Practical Studies in Education, 2025
This study investigated the impact of computer-aided assessment on the enhancement of critical thinking skills in non-routine problem-solving across three distinct learning delivery modalities: fully online, balanced blended, and predominantly face-to-face (F2F) blended. The study aimed to evaluate the effectiveness of computer-aided assessment in…
Descriptors: Critical Thinking, Thinking Skills, Skill Development, Computer Assisted Testing
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Jila Niknejad; Margaret Bayer – International Journal of Mathematical Education in Science and Technology, 2025
In Spring 2020, the need for redesigning online assessments to preserve integrity became a priority to many educators. Many of us found methods to proctor examinations using Zoom and proctoring software. Such examinations pose their own issues. To reduce the technical difficulties and cost, many Zoom proctored examination sessions were shortened;…
Descriptors: Mathematics Instruction, Mathematics Tests, Computer Assisted Testing, Computer Software
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Henrietta Carbonel; Angelo Belardi; Jen Ross; Jean-Michel Jullien – Online Learning, 2025
The shift to distance education during the COVID-19 pandemic highlighted the potential and preference of online learners for remote assessment. Yet, concerns about academic integrity, especially with tools like ChatGPT, prompted a reevaluation of remote evaluation methods. Universities responded by returning to on-campus exams or relying on…
Descriptors: Distance Education, Computer Assisted Testing, Student Motivation, Integrity
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James Pengelley; Peter R. Whipp; Anabela Malpique – Technology, Pedagogy and Education, 2025
The rising use of technology in classrooms has also brought with it a concomitant wave of computer-based assessments. The argument for computer-based testing is often framed in terms of efficiency and data management: computer-based tests facilitate more efficient processing of test data and the rate at which feedback can be leveraged for student…
Descriptors: Cognitive Processes, Paper and Pencil Tests, Computer Assisted Testing, Student Evaluation
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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
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Andrea Fernández-Sánchez; Juan José Lorenzo-Castiñeiras; Ana Sánchez-Bello – European Journal of Education, 2025
The advent of artificial intelligence (AI) technologies heralds a transformative era in education. This study investigates the integration of AI tools in developing educational assessment rubrics within the 'Curriculum Design Development and Evaluation' course at the University of A Coruña during the 2023-2024 academic year. Employing an…
Descriptors: Foreign Countries, Higher Education, Artificial Intelligence, Technology Integration
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Amal Iaaly; Patrick Daou; Mantoura Nakad; Rami J. Abboud – Education and Information Technologies, 2025
This paper reports on a participatory case study investigating the total shift to an electronic assessment and electronic proctoring modality in a traditional higher education academic institution in Lebanon due to the COVID-19 pandemic. It describes the novel real-time electronic assessment and proctoring system developed by the University of…
Descriptors: Supervision, COVID-19, Pandemics, Systems Approach
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Beatriz Chaves-Yuste; Cristina de-la-Peña – TESOL Journal, 2025
Technology, constantly present in current society and education, needs to make use of the most effective digital resources to optimize the teaching-learning process. Despite the growing body of literature on the pedagogical effectiveness of digital resources in a second language (L2) context, limited research has been conducted when working with…
Descriptors: English for Special Purposes, Second Language Instruction, Second Language Learning, Tourism
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Kershree Padayachee; M. Matimolane – Teaching in Higher Education, 2025
In the shift to Emergency Remote Teaching and Learning (ERT&L) during the COVID-19 pandemic, remote assessment and feedback became a major source of discontent and challenge for students and staff. This paper is a reflection and analysis of assessment practices during ERT&L, and our theorisation of the possibilities for shifts towards…
Descriptors: Educational Quality, Social Justice, Distance Education, Feedback (Response)
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Anucha Somabut; Denpong Soodphakdee; Kulthida Tuamsuk; Parama Kwangmuang – Education and Information Technologies, 2025
The COVID-19 pandemic has forced higher education institutions worldwide to rapidly transition to online learning, exposing vulnerabilities and highlighting the critical need for robust ICT infrastructure. This study investigates the readiness of network universities in upper northeastern Thailand to provide education using ICT during the COVID-19…
Descriptors: Information Technology, Technology Uses in Education, Readiness, Electronic Learning
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Frances Heaney; Trinidad Velasco-Torrijos; Carmel Breslin; Robert Elmes; John Stephens; Ria Collery-Walsh; Anne Cleary; Orla Joyce; Brian Murphy; Bernard Drumm; Ronan Bree; Eric Moore; Aoife Morrin; Bla´naid White; Denise Rooney – Journal of Chemical Education, 2025
In a technology-enhanced learning environment and underpinned by a unique hybrid pedagogic model that borrows from gamification, constructivism, and experiential learning approaches, badges were purposefully used to foster engagement. This approach promoted the development of a mindset that identifies and appreciates the worth of a portfolio of…
Descriptors: Science Instruction, Blended Learning, Large Group Instruction, Experiential Learning
Josh Freeman – Higher Education Policy Institute, 2025
Building on our 2024 AI Survey, we surveyed 1,041 full-time undergraduate students through Savanta about their use of generative artificial intelligence (GenAI) tools. In 2025, we find that the student use of AI has surged in the last year, with almost all students (92%) now using AI in some form, up from 66% in 2024, and some 88% having used…
Descriptors: Student Surveys, Student Attitudes, Cheating, Artificial Intelligence