Artificial Intelligence and Big Data

The Advent of New Pedagogy in the Adaptive E-Learning System in the Higher Educational Institutions of Saudi Arabia

Datos Bibliográficos

ID5686159
AutoresMohammed Arshad Khan (0000-0002-8375-8110), Maysoon Khojah (0000-0001-5054-1516), Vivek (0000-0002-4776-6009), Vivek Vivek (0000-0002-3809-4052)
EditoresEhsan Namaziandost (0000-0002-8393-2537)
Año2022
Volumen2022
Páginas1-10
Fecha de publicación2022-02-25
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaEducation Research International (JOURNAL)
Identificadores de la revistaISSN: 2090-4010 • E-ISSN: 2090-4002
EditorialWiley (PUBLISHER • GB)
DOI10.1155/2022/1263555
OpenAlexW4214776119
IdiomaEN
Citas recibidas10
Referencias citadas36

The operations of many industries, such as banking, insurance, energy, healthcare, and retail, have been improved and transformed by the application of artificial intelligence. The education sector is the particular one which has more potential for artificial intelligence and its applications. Universities and colleges are currently facing a number of challenges, including high rates of dropouts and student disengagement in their classes, as well as the failure of traditional learning techniques in the face of ongoing outbreaks. Major issues in the educational sector can be resolved by the proper application of artificial intelligence and big data, which can facilitate learner-centred approaches as per the needs of today's era. This can be better described as a personalised learning approach, in which the needs of each and every student can be considered and education can be provided uniquely for them. In this way, the educator can provide a better learning experience according to the needs and ability of the learners/students. Thus, it also assists in enhancing the motivational level of the learners and minimising the dropout rates of the students. The main purpose of the study is to examine the role of artificial intelligence and big data in the adaption of the E-learning system for imparting better education facilities to the students of various colleges and universities situated in Saudi Arabia. The sample dataset for this study was collected through a purposive sampling technique from the 290 students enrolled in numerous higher educational institutions. The collected data were analysed using SPSS and SmartPLS 3 software. The findings of this study reveal that AI and big data assist educators and students as well to run the teaching and learning process smoothly even in the period of an ongoing pandemic at the higher levels of the education system. It also explores the educational inferences of transpiring technologies in the ways of students' "learning and institutions" teaching and their adaption. In recent eras, technological evolution and an increase in the adoption of latest technologies in the field of higher education have been scouted to forecast the essence of higher education globally in the near future, where AI will be the gist for universities. This study reveals some issues faced by higher educational institutions and students related to the adaptation of these technologies for learning, teaching, administration, and student support. The implications of the present study will be helpful for students and teachers to access educational resources effectively and for educational institutions to improve the efficiency and personalization of learning tasks. Furthermore, it will allow students to get more time with their respective teachers

Big data · Data mining · Disengagement theory · Dropout (neural networks · Machine learning · Mathematics education · Nonprobability sampling · Sample (material · Sociology · Big Data and Business Intelligence · Computer Science · Engineering Education and Technology · Medicine · Online Learning and Analytics · Psychology · Artificial Intelligence