Impact of Social Media Like WhatsApp for Education Domain

The pandemic situation is affected in various ways in the education domain. The sudden transformation from offline to online teaching-learning process made students and teachers use different tools like WhatsApp for communication. The reason for this consideration is to investigate the impacts of WhatsApp utilized for instruction and decide the suppositions of understudies towards the method. The study is designed, keeping in mind the current COVID-19 situation and how it affected the education system turning it into online mode. On different questionnaires, regression and heatmap analysis is performed. The investigation showed that both learning situations have diverse impacts on the victory of understudies while supporting the conventional environment by utilizing WhatsApp is more successful for the increment of victory. The assessment moreover showed that students had superior pleasant reviews closer to the usage of WhatsApp in their courses. They requested the same workout in their one-of-a-kind courses as well. They expressed that picking up information can moreover take out unwittingly and the messages with pics were more prominent and viable for their picking up information. Be that as it may, some college understudies have communicated harming audits approximately the timing of a few posts and the repetitive posts within the bunch. At long last, it is supported that the utilization of WhatsApp within the preparing framework is to be energized as a steady innovation. . © 2023 IEEE.

A decision support system for selecting the most suitable machine learning in healthcare using user parameters and requirements

The application of machine learning in the medical field is still limited. The main reason behind the lack of use is the unavailability of an easy-to-use machine learning system that targets non-technical users. The objective of this paper is to propose an automated machine learning system to aid non-technical users. The proposed system provides the user with simple choices to provide suggestions to the system. The system uses the combination of the user's choices and performance evaluation to select the most suited model from available options. In this study, we employed the system on a Parkinson's disease dataset. The templates for support vector machine and random forest algorithms are provided to the system. Support vector machines and random forests were able to produce 80% and 75% accuracy, respectively. The system used performance parameters of the system and user choices to select the most suited models for each test case. The support vector machine was selected as the most suited model in three test cases, while random forest was selected as the most suited for one test case. The test cases also showed that the weighted time parameter impacted the results heavily.Copyright © 2022 The Author(s)

Green Construction Technology Demonstration Projects in Civil Buildings under the Environment of Energy Conservation and Emission Reduction

Data innovation has made the social improvement encountered another significant change, nearly covering and infiltrating into varying backgrounds. Structural designing plan, with its primary qualities: enormous designing plan;large measure of estimation;Long plan cycle;the power of work is high. With the persistent advancement of data innovation in structural designing plan, different sorts of assistant plan innovations addressed by PCs have step by step appear, which have effectively settled the above troubles and extraordinarily decreased the trouble of structural designing plan. In this way it very well may be seen that the improvement of data innovation has carried limitless advantages to the general public. Consequently, how to additionally apply data innovation to structural designing and carry immense advantages to structural designing has turned into the focal point of ebb and flow research. Copyright © 2022, Anka Publishers. All rights reserved.

Student Learning Analysis with Impact of Self-learning and Effectiveness During COVID-19

Coronavirus has a great impact in some other ways of everybody's life. It greatly affected the education sector in India. All of the sudden changes from traditional teaching–learning to online teaching–learning become difficult to manage students as well as faculties. This research focuses on examining students’ learning habits during a pandemic when all school colleges closed because of the spread of COVID-19. A data was collected to examine Indian (Maharashtra) student’s learning time spent throughout epidemic, academic, were inactive due to the novel coronavirus—SARS-CoV-2 (COVID-19). In response to understanding the potential effects of the coronavirus epidemic, the questionnaires were spread over Facebook, WhatsApps a network of educational group from September 30 to October 20, 2020. This research focuses on the impact of different factors on students learning during COVID-19. To represent correlations between independent and dependent variables, heat maps are used. It helps to analyze the impact in terms of their values that exist between variables. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.