Experimenting with AI-powered learning tools and mobile-assisted learning to improve student learning performance, autonomy, and metacognitive skills: a case study of Quizlet

Meletiadou, Eleni (2023) Experimenting with AI-powered learning tools and mobile-assisted learning to improve student learning performance, autonomy, and metacognitive skills: a case study of Quizlet. In: Handbook of research on redesigning teaching, learning, and assessment in the digital era. IGI Global, Hershey, Pennsylvania (USA), pp. 21-41. ISBN 9781668482933

Full text not available from this repository. (Request a copy)

Abstract / Description

Artificial intelligence can be defined as the capacity of a computer system to complete human activities (i.e., thinking, selecting, and learning) that as a norm may only be achieved by utilizing human intelligence. AI technology in education enables some flexibility and customization that was impossible so far. It is revolutionizing universities and lectures, making a lecturer's job considerably easier. It is poised to change education dramatically. The current study analyzed how Quizlet, a digital vocabulary learning platform, was used to support students as they tried to memorize various terms, theories, scholars, and researchers related to leadership and examine how learners felt about this application.

Item Type:	Book Section
Uncontrolled Keywords:	Education and technology; digital learning; hybrid learning; remote learning; Artificial intelligence and education; Quizlet
Subjects:	300 Social sciences 300 Social sciences > 370 Education 600 Technology
Department:	Guildhall School of Business and Law
Depositing User:	Eleni Meletiadou
Date Deposited:	20 Oct 2023 10:46
Last Modified:	20 Oct 2023 10:46
URI:	https://repository.londonmet.ac.uk/id/eprint/8830

Actions (login required)

View Item