[PDF][PDF] Artificial Intelligence: Reconstructing A New Paradigm Shift In Enhancing Ubiquitous Learning (U-Learning) In Higher Education. University Student's Opinion.
SO Owidi - researchgate.net
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Ubiquitous learning (U-learning) refers to learning in which education can take place
anywhere and anytime. U-learning is important in situations where physical learning cannot
take place due to restriction as observed in the covid-19 pandemic period. In U-learning,
learners get access to readily available information in an interactive platform that allows
them to interact with each other, their teachers and intelligent tutoring agents. Artificial
Intelligence as a field in Computer Science has offered opportunities in which unique tools …
anywhere and anytime. U-learning is important in situations where physical learning cannot
take place due to restriction as observed in the covid-19 pandemic period. In U-learning,
learners get access to readily available information in an interactive platform that allows
them to interact with each other, their teachers and intelligent tutoring agents. Artificial
Intelligence as a field in Computer Science has offered opportunities in which unique tools …
Abstract
Ubiquitous learning (U-learning) refers to learning in which education can take place anywhere and anytime. U-learning is important in situations where physical learning cannot take place due to restriction as observed in the covid-19 pandemic period. In U-learning, learners get access to readily available information in an interactive platform that allows them to interact with each other, their teachers and intelligent tutoring agents. Artificial Intelligence as a field in Computer Science has offered opportunities in which unique tools and technologies that can support the growth of u-learning. The application of AI in Education (AIEd) in areas such as Chatbots and intelligent tutoring systems has been used to assist the process of teaching and learning, educational data mining and in pedagogical innovations. Online learning is a form of U-learning. The aim of this study was to obtain the opinions of students using u-learning in university education at Tom Mboya University regarding AIEd integration in online learning. The study adopted a descriptive survey design. Data was collected using online questionnaires and interviews. A sample of 638 students was obtained from a population of 5700 using Yamane’s formula. The collected data was then analyzed using frequencies and percentages. The outcomes of this study indicated that most students are aware of AIEd integration in e-learning. They however indicated that they have not been inducted properly to use various features of the AIEd programs. They further indicated that u-learning can enable them to complete their academic programs promptly since the learners could conduct concurrent learning activities with limited involvement of the lectures. The respondents further indicated that there is need for adoption of Smart Mobile devices in achieving the success of u-learning since smartphones are readily available to them. These findings will help education practitioners to make informed decisions while implementing e-learning as a form of u-learning with the support of Artificial Intelligence.
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