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Bimal Aklesh Kumar; Sailesh Saras Chand – Interactive Technology and Smart Education, 2024
Purpose: Usability is one of the key concerns in the development of mobile learning applications. The aim of this paper is to design and validate a usability evaluation questionnaire (UEQ) for mobile learning applications. Design/methodology/approach: The UEQ was developed in four stages: selecting primary studies and extracting usability…
Descriptors: Questionnaires, Design, Usability, Electronic Learning
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Jorge Sanabria-Z; Pamela Geraldine Olivo – Interactive Technology and Smart Education, 2024
Purpose: The objective of this study is to propose a model for the implementation of a technological platform for participants to develop solutions to problems related to the Fourth Industrial Revolution (4IR) megatrends, and taking advantage of artificial intelligence (AI) to develop their complex thinking through co-creation work.…
Descriptors: Active Learning, Transformative Learning, Artificial Intelligence, Thinking Skills
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Chandan Kumar Tiwari; Mohd. Abass Bhat; Shagufta Tariq Khan; Rajaswaminathan Subramaniam; Mohammad Atif Irshad Khan – Interactive Technology and Smart Education, 2024
Purpose: The purpose of this paper is to identify the factors determining students' attitude toward using newly emerged artificial intelligence (AI) tool, Chat Generative Pre-Trained Transformer (ChatGPT), for educational and learning purpose based on technology acceptance model. Design/methodology/approach: The recommended model was empirically…
Descriptors: Foreign Countries, College Students, Artificial Intelligence, Student Attitudes
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Dirk H. R. Spennemann; Jessica Biles; Lachlan Brown; Matthew F. Ireland; Laura Longmore; Clare L. Singh; Anthony Wallis; Catherine Ward – Interactive Technology and Smart Education, 2024
Purpose: The use of generative artificial intelligence (genAi) language models such as ChatGPT to write assignment text is well established. This paper aims to assess to what extent genAi can be used to obtain guidance on how to avoid detection when commissioning and submitting contract-written assignments and how workable the offered solutions…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Cheating