From E-learning to Smart Education Systems Impacted by the Utilisation of Artificial Intelligence in Higher Education
Al-Khannak, Rafid (2024) From E-learning to Smart Education Systems Impacted by the Utilisation of Artificial Intelligence in Higher Education. In: 2ndInternational Congress & Exhibition on Current Trends on Science Technology Education (SCITEED 2024), 21-24 April 2024, Turkey.
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Abstract
Utilising the modern teaching and learning technologies is considered as one of the most significant factors in shaping the quality of the learning and education for students and learners at educational institutes. Different educational delivery schemes exist in higher education. Each scheme comes with different requirements that have pros and cons, or obstacles and opportunities. Therefore, driving the appropriate pedagogical approaches and digital tools would have a substantial impact on learning outcomes. Building robust and solid educational programme could be achieved by equipping the environment with modern and cutting-edge technologies to develop the educational standards and levels. After the pandemic, the comparison among different educational systems like physical, E-Learning, online, blending and hybrid learning system with the utilisation of digital solutions is becoming essential to provide an efficient, economic, and productive approach in education system. It is always the challenge to decide the right style of learning that bring the best learning opportunities to students and learners. Many different aspects and principles need to be critically analysed and measured leading to reach the best decision on how to build or develop the learning environment. BNU university is a case study to demonstrate the adoption and integration of different learning approaches to reach one of the best students’ satisfaction level for the teaching and students support in the UK.
| Item Type: | Conference or Workshop Item (Speech) |
|---|---|
| Depositing User: | Dr Rafid Al-Khannak |
| Date Deposited: | 14 May 2025 09:06 |
| Last Modified: | 14 May 2025 09:06 |
| URI: | https://bnu.repository.guildhe.ac.uk/id/eprint/19098 |
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