Optimization of Mental Health-Related Critical Barriers in IoT-Based Teaching Methodology. (1st April 2022)

• Record Type: Journal Article
• Authors: Juneja, Abhinav; Turabieh, Hamza; Upadhyay, Hemant; Kiros Bitsue, Zelalem; Hoang, Vinh Truong; Trung, Kiet Tran
• Other Names: Koundal Deepika Academic Editor.
• Is Part Of: Computational intelligence and neuroscience. Volume 2022(2022)
• Publication Date: 2022-04-01
• Subjects: Neurosciences -- Data processing -- Periodicals; Computational intelligence -- Periodicals; Computational neuroscience -- Periodicals; 612.80285
• DOI: 10.1155/2022/4602072
• Languages: English
• ISSNs: 1687-5265

Abstract

Abstract : Online learning has changed all elements of teaching of entire learning structure from primary to university level all around the world so that the challenges of online teaching are required to be optimized. The prominent objective of this manuscript is to optimize the issues of online teaching-learning in online education. Twelve issues of online teaching-learning are shortlisted by performing deep reviewing of the literature and grouping into three categories: "Students' issues, " "Common issues, " and "Teachers' issues" using the opinions of expert people. The analytical hierarchy process method is chosen for ranking of issues of online teaching. The findings can become effective in planning to get solution of the challenges of online teaching. These challenges of online teaching may lead to fragmental illness mentally over a long period of time. Because social media platforms may become an efficient tool for incorporating into online education, social media is a vital aspect of online learning. Over time, social media use may have an effect on the human brain in one way or another. The given work's exploration of online teaching-learning challenges could lead to a social media-based examination of mental illness.