ERIC Number: EJ1453525
Record Type: Journal
Publication Date: 2024
Pages: 19
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: EISSN-2331-186X
Inclusive Learning Using Industry 4.0 Technologies: Addressing Student Diversity in Modern Education
Ishteyaaq Ahmad; Sonal Sharma; Rajesh Singh; Anita Gehlot; Lovi Raj Gupta; Amit Kumar Thakur; Neeraj Priyadarshi; Bhekisipho Twala
Cogent Education, v11 n1 Article 2330235 2024
This study explores the potential benefits of integrating Industry 4.0 technologies into educational settings, focusing on Artificial Intelligence/Machine Learning, Augmented Reality, Big Data, Blockchain, Cloud Computing, Internet of Things, Metaverse, Robotics, and Virtual Reality. The aim is to develop learning environments that are more responsive to the diverse needs of students and better equipped to meet those requirements. In today's educational system, diversity manifests in various forms, including differences in learning styles, talents, interests, and cultural backgrounds. To effectively accommodate students with diverse profiles, educators must adapt and adjust their learning and teaching approaches accordingly. This study proposes that the incorporation of Industry 4.0 technologies into educational settings may offer adaptable solutions to meet the varying needs of students. It highlights the potential advantages of these technologies in fostering inclusive learning environments for modern education. By utilizing the power of technology, educators can create personalized learning experiences that cater to the unique needs of each student, thereby promoting inclusivity and equity in education. In conclusion, this study underscores the importance of embracing a more inclusive model of education that harnesses the potential of technology to enhance learning outcomes and support the diverse needs of students in today's educational landscape.
Descriptors: Student Diversity, Inclusion, Technology Uses in Education, Educational Technology, Artificial Intelligence, Educational Environment, Internet, Equipment, Information Technology, Learning Analytics, Robotics, Computer Simulation, Information Storage
Cogent OA. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A