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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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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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Olga Viberg; Chantal Mutimukwe; Stefan Hrastinski; Teresa Cerratto-Pargman; Joakim Lilliesköld – British Journal of Educational Technology, 2024
Digital technologies are increasingly used in assessment. On the one hand, this use offers opportunities for teachers to practice assessment more effectively, and on the other hand, it brings challenges to the design of pedagogically sound and responsible digital assessment. There is a lack of validated instruments and models that explain, assess…
Descriptors: Computer Assisted Testing, Teaching Methods, Evaluation Methods, Educational Trends
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Borka Jerman Blažic; Andrej Jerman Blažic – International Society for Technology, Education, and Science, 2024
Based on an exhaustive study from 2001-2003 involving 14 high schools in the EU, a definition of the educational content and the aligned methodology for high school levels was developed for two areas--cyber safety and cybersecurity--with the aim of improving the knowledge and skills of students and their teachers. Available sources, including…
Descriptors: Teaching Methods, Computer Science Education, Information Security, Computer Security
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Panidnad Chulerk; Supachanin Duangchinda Sathianpan; Jintavee Khlaisang – rEFLections, 2025
This research endeavors to assess the efficacy of Mobile Assisted Language Learning (MALL) in elevating students' English proficiency to the Common European Framework of Reference (CEFR) B1 level. The study involves identifying the most suitable mobile application for formative assessment, implementing it to enhance students' English competency,…
Descriptors: Formative Evaluation, Computer Assisted Instruction, Teaching Methods, Telecommunications