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    AN EMPIRICAL INVESTIGATION OF THE IMPACT OF DIGITAL TEACHING AND LEARNING ON UNIVERSITY STUDENTS' SATISFACTION LEVELDURING COVID-19 PANDEMIC IN QATAR

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    Jenan Abu-Shaikha_OGS Approved Thesis.pdf (1.621Mb)
    Date
    06-2022
    Author
    ABU-SHAIKHA, JENAN THAER
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    Abstract
    Life is changing rapidly for many reasons, which affects people's mindsets as well as their behaviour. Today, most people rely on technology on a daily basis. Furthermore, the global COVID-19 pandemic has pushed the world into a new normal that requires a greater reliance on technology, especially in the education sector. Such a shift has influenced students' attitudes and changed their expectations, which has affected the relationship between students and their universities and lecturers. Random samples were collected from students and instructors at higher education institution in Qatar. Responses of students and lecturers who were exposed to digital teaching and digital learning during COVID pandemic were included in the quantitative part of the research. This research investigates the relationship between teaching and learning digitally as well as its impact on students' satisfaction levels in higher education sectors in Qatar during the pandemic. The research provides practical and theoretical solutions that are aimed at improving the higher education sector. More precisely, the current study examines the impact of lecturers' creativity and innovativeness, attitude towards technology, and teaching skills along with students' engagement, learning motivation, ability to adapt to changes, and learning support, on students' satisfaction levels. In addition, it evaluates the mediation effect of students and lecturers' emotional intelligence on the relationship between the independent variables and students' satisfaction. The results revealed that students' engagement, ability to adapt to changes, learning motivation, and learning support have a strongly positive and significant impact on their satisfaction.
    DOI/handle
    http://hdl.handle.net/10576/32101
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    • COVID-19 Research [‎848‎ items ]
    • Science in Marketing [‎26‎ items ]

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