Retraction:Optimization of Mental Health-Related Critical Barriers in IoT-Based Teaching Methodology

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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.

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APA

Juneja, A., Turabieh, H., Upadhyay, H., Kiros Bitsue, Z., Hoang, V. T., & Trung, K. T. (2022). Retraction:Optimization of Mental Health-Related Critical Barriers in IoT-Based Teaching Methodology. Computational Intelligence and Neuroscience. Hindawi Limited. https://doi.org/10.1155/2022/4602072

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