Online Education: An Unprepared Effort Posing Challenges to Students and Teachers of the Punjab State of India Amid COVID-19

The terrifying and rigorous effects of COVID-19 have stunned India and in fact the whole world to its core. Like other countries, the government of India has also closed all its schools, colleges and universities to contain the further spread of this highly contagious virus. An attempt has been made to shift the traditional teaching to online teaching ignoring the fact that in India, only 47% of the households are getting electricity for more than 12 h a day and only 24% of Indians have smart phones, which are the basic requirements for online classes. In this chapter, a survey-based analysis has been done among the students and teachers of the Punjab state of India to highlight the difficulties faced by them in online classes amid COVID-19. Recommendations from the chapter will certainly help the state government in further drafting educational policies for online teaching. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

Post Covid Scenario Effective E-Mentoring System in Higher Education

During Covid-19 pandemic many people and institutions preferred online coaching instead of in person education. The problem with online is that it will be difficult to carry on interconnections between students and professors in that environment. The main constraint for conducting online session is that the people in remote areas may find a difficulty to connect to online sessions having network issues. Electronic mentoring (e-mentoring) is implemented like a website in which the mentor and mentee can communicate with each other. With the help of this mentoring the project can provide a best solution for both the mentor and mentee. They can communicate with each other with the help of online platform and even with the help of emails.This proposed method will help them to keep the track of their academic progress and achievements of students. This article mainly focus on the mentoring through physical and virtual environment in which the mentee will be interacting with the mentor to know the progress of their academics. This article discusses about the website which is developed to fulfill the needs of the student and it discusses about the various stages of development that helped in building the website. Students can share their difficulties and their achievements with the mentor who are assigned for them particularly. In future planning to implement artificial intelligence technique to online mentoring process, this is for the betterment of student's growth. © 2023 IEEE.

Wisdom of Two Crowds: Misinformation Moderation on Reddit and How to Improve this Process - -A Case Study of COVID-19

Past work has explored various ways for online platforms to leverage crowd wisdom for misinformation detection and moderation. Yet, platforms often relegate governance to their communities, and limited research has been done from the perspective of these communities and their moderators. How is misinformation currently moderated in online communities that are heavily self-governed? What role does the crowd play in this process, and how can this process be improved? In this study, we answer these questions through semi-structured interviews with Reddit moderators. We focus on a case study of COVID-19 misinformation. First, our analysis identifies a general moderation workflow model encompassing various processes participants use for handling COVID-19 misinformation. Further, we show that the moderation workflow revolves around three elements: content facticity, user intent, and perceived harm. Next, our interviews reveal that Reddit moderators rely on two types of crowd wisdom for misinformation detection. Almost all participants are heavily reliant on reports from crowds of ordinary users to identify potential misinformation. A second crowd - participants' own moderation teams and expert moderators of other communities - provide support when participants encounter difficult, ambiguous cases. Finally, we use design probes to better understand how different types of crowd signals - -from ordinary users and moderators - -readily available on Reddit can assist moderators with identifying misinformation. We observe that nearly half of all participants preferred these cues over labels from expert fact-checkers because these cues can help them discern user intent. Additionally, a quarter of the participants distrust professional fact-checkers, raising important concerns about misinformation moderation. © 2023 ACM.

Quality control of educational process in the lyceum of medical profile when learning in distance mode during the COVID-19 pandemic

With the spread of the COVID-19 coronavirus infection pandemic and, as a result, the relevance of the transformation of curricula, many subjects of the education system have now switched to distance learning. Ukrainian Medical Lyceum of the National Medical University named after A.A. Bogomolets actively and successfully implements this format. The adaptation of the curriculum of the medical lyceum to the changed conditions takes into account the updated requirements. The study is devoted to the analysis of the perception of changes introduced by distance technologies in the educational process, and the possibilities of controlling its quality using the example of training in a medical lyceum. The collection of data for analysis was carried out using a questionnaire. In the course of the survey, which was answered by 187 respondents. The study examined in detail the advantages and disadvantages of learning on online platforms. It was concluded that new teaching methods require updated quality assessment methodologies, and that the greatest obvious benefit of online learning is adaptability and variability.

Ubiquitous and Comprehensive Healthcare: Expanding Technologies and Systems to Enable New Delivery Models

Whether at home, work, school, or traveling abroad, digital healthcare is in demand. Rapidly changing delivery models are shaping the new healthcare landscape far beyond a COVID-19 world. The papers in this minitrack present innovative digital health applications that can be administered or used in a digital health setting outside the walls of traditional healthcare facilities. These papers present apps for parolee reentry into the community, training for audiology screening, and infectious disease risk assessments. Another paper addresses optimization of at-home triage, while the final manuscript focuses on empowering patients in health consultations using an online platform. Taken together, these papers highlight the growing importance of enabling new delivery models for ubiquitous and comprehensive healthcare. © 2022 IEEE Computer Society. All rights reserved.

STUDY BUDDY-Making Learning Easy

Study buddy is an all-in-one package for your studies. We provide an automatically generated timetable as well as pdfs and video links all for Free for our students of class 10th, 12th and, those appearing for JEE. The aim is to increase job opportunities for college students with expertise in a particular subject as well as retired teachers to help school students divide their time and stay motivated. Kids nowadays are always stressed during exam days because they can't make a schedule to study. So we wanted to bring an end to those days of anxiety and fear. We decided to make a website, "Study Buddy"where a student will have the following 4 options: a) Generate Time table b) Reference Material c) Discussion Forum d) Mentor Help.In our research, we would walk through the above-mentioned points and also compare how our proposed method and software package stands out from the already existing software. This will be followed by our system design, result and future scope. This software is a buddy for the students during their hard times. It will not only help the students but will also provide an employment opportunity to retired teachers and college students. We also plan to implement machine learning in order to understand the basic trend of student psychology during exams. © 2022 IEEE.

Analysis of Student's Learning Perception of Online Classes in Polytechnic colleges and Engineering programmes in Kerala

Educational institutions and students find it a challenging task to complete the syllabus prescribed in the given period of academic year in compliance with the academic calendar, as they remain closed for an indefinite period due to the outbreak of Covid. Efforts are being made by them to chalk out ways n means to achieve the goal of completing the portions of syllabus well in time in spite of the hostile situation. Assurance of quality of learning is also a matter of prime importance for which the content has to be designed well and delivered in a professional manner. Most of the students face constraints in learning through online platform and as such it deserves high attention as to how the content is organized and presented before them so as to address such constraints and to make the learning effective. As the pandemic and subsequent restrictions led to the sudden change from conventional class room to online mode, teachers and students have faced much challenges. Most of the institutions couldn't rise to the occasion so as to formulate quality contents to deliver through online platform. Online learning can be made easy, efficient and productive if the experiences of students and learning are incorporated in the study. The findings of this study indicated that majority of the students evinced a positive attitude towards online classes in the wake of corona. The online learning was found to be advantageous as it provided flexibility and convenience for the learners. Students preferred well-structured content with recorded videos uploaded in university web-sites. They also indicated the need for interactive sessions with quizzes and assignments at the end of each class to optimize the learning experience. © 2022 IEEE.

Differences in demographics and behaviors across two web-based survey platforms: Observations from a study of risk perceptions of heated tobacco products (HTPs).

With an escalating popularity of online surveys in behavioral research, it is critical to understand how different sources of participants can yield differing outcomes. While Mturk has been used for online surveys for almost two decades, a recent introduction of online panels allows researchers to choose participants from variety of pools. This study aims to contribute to existing knowledge of how participants from different online platforms differ in their characteristics and behavioral responses which might affect the outcomes. 300 participants were recruited each from Mturk and Prime panels for a 20 mins long survey assessing perceptions and intentions to use Heated tobacco products (HTPs). Participants answered demographic and tobacco-use related questions including their vaccination and masking for COVID-19. They were shown a picture and description of a recently launched HTP. Further, participants answered questions about their awareness of HTPs, risk perception of health conditions from use of different tobacco products (cigarettes, e-cigarettes and HTPs) and perceived severity of COVID-19 infection in smokers, vapers and HTP users. Results showed significant differences in Mturk and Prime panel participants' demographics and tobacco-use. Prime panels showed more racially diverse population (chi-sq = 10.07, p < 0.02) and significantly more current smokers (chi-sq = 44.74, p < 0.01) and current e-cigarette users (chi-sq = 38.04, p < 0.01) compared with Mturk. Mean perception scores for COVID risk in tobacco users were significantly different between Prime panels and Mturk. Study highlights significant differences in sample composition and responses that might be helpful in choosing one online platform over another based on specific study requirements.

Ensemble Learning Approach for Predicting Job Satisfaction on Freelancing Jobs in Sri Lanka

Due to the recent social and economic problems that have occurred locally and globally, Freelance work has gained more attention recently. Specially, working from home or other appropriate workspaces has become more popular during the Covid-19 pandemic situation. Freelancing is a profession worker working for themselves who can perform contract work or tasks either full-or part-time in a range of job fields. to get more accurate Because of the infrastructure facilities like internet, and the situations like pandemic, it is now possible to earn money online. Online freelancing assigns straightforward jobs to workers via online platforms with greater cost effectiveness. The main objective of this study is to build a model through Machine Learning (ML) to predict job satisfaction in freelancing jobs. Primary data used in this research is gathered with help of current freelancers results. After the pre-processing is completed, individual algorithms Naïve Bayes, Support Vector Machine (SVM), Decision Tree (J48), Random Forest, and Multilayer Perception (MLP) separate algorithms and Ensemble Learning approach used as a combination of the above five algorithms. Among them, the best accuracy, precision, recall, and f-measure values as well as lower error rates were obtained through the Ensemble Learning algorithm. The evaluation result proved the effectiveness of our proposed approach. © 2022 IEEE.

Fraud Detection Model Using Semi-supervised Learning

Everything is moving to online platforms in this digital age. The frauds connected to this are likewise rising quickly. After COVID, the amount of fraudulent transactions increased, making this a very essential area of research. This study intends to develop a fraud detection model using machine learning's semi-supervised approach. It combines supervised and unsupervised learning methods and is far more practical than the other two. A bank fraud detection model utilizing the Laplacian model of semi-supervised learning is created. To determine the optimal model, the parameters were adjusted over a wide range of values. This model's strength is that it can handle a big volume of unlabeled data with ease. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

The new soundscape after the Covid-19 lockdown

We present a pilot study on the perception of noise and noise annoyance from various environmental sources after the COVID-19 lockdown in Serbia. We used an online platform to conduct an anonymous survey on about 190 respondents aged 15 to 75 years from all over the country. After the lockdown, there was a significant increase in the proportion of respondents who were highly annoyed by noise from the typical environmental sources, such as road traffic, air traffic, industrial facilities, and construction works on the streets, compared to the time during the lockdown. At the same time, the proportion of respondents who were highly annoyed by the sirens of ambulance vehicles decreased significantly. However, the most annoying environmental sound during and after the lockdown was that emitted by the ambulance vehicles, which respondents described as "unpleasant”, "horrifying” and "irritating”. The perception of the sounds of nature and church bells dropped significantly after the lockdown, whereas the perception of noise from the neighbors, household members, and indoor sources remained the same. In summary, after the lockdown, respondents perceive the new soundscape as louder, burdened with a cacophony of noises, and subsequently more annoying. © 2022 Internoise 2022 - 51st International Congress and Exposition on Noise Control Engineering. All rights reserved.

An Adaptability of Online Engineering Education Amidst the COVID19 Pandemic

The COVID19 pandemic has disturbed the daily lives of people, including those in the education sector. It has tested the readiness of Higher Education Institutes (HEIs) and put in question the adaptability of students and faculty in using online teaching-learning modalities. This paper describes the development of an online engineering education in the department of Electronics and Telecommunication Engineering of Rajarambapu Institute of Technology, Islampur. The authors sampled 211 engineering students and 16 faculty members from the department of Electronics and Telecommunication Engineering using online survey forms. The author highlighted the requirements of online teaching-learning, the implementation methodology, online platforms, sample ICT tools and active learning tools used for the delivery of contents and conducting examinations. From the feedback of students and faculties members, it was found out that availability of resources, institute support, skill development and engagement have significant contribution to the adaptability of faculties and students to online teaching-learning. The pandemic situation has enhanced the adaptability of online teaching-learning during the COVID19 pandemic and also students and faculties are ready if any other similar man-made or natural disruptions occur. © 2022, Rajarambapu Institute Of Technology. All rights reserved.

A framework to evaluate trustworthiness in online video-based information environments

Online misinformation has been shown to be a significant threat, with measurable real world impact. This has become especially evident during the COVID-19 crisis, where online spaces saw the propagation of false or inaccurate information on healthcare, protective equipment, vaccines, and more;causing major public health repercussions. Although many video-based online platforms are used as vehicles of such misinformation and are counted as some of the most popular and influential social media platforms, current research faces a lack of systemic methodology to analyze such content and detect potential misinformation efforts. This work proposes a solution by introducing an adaptable framework. This framework provides indicators of potential misinformation campaigns, addresses issues of large data volumes, and takes into consideration multiple classes of features such as media content, engagement, and user networks. The goal of this research is to integrate into larger, user-facing systems and help members of the information community, data scientists, journalists, or policy makers to make sense of impossibly large information environments and take action based on reliable data. (PsycInfo Database Record (c) 2022 APA, all rights reserved)

Vision Transformer for Automatic Student Engagement Estimation

Availability of the internet and quality of content attracted more learners to online platforms that are stimulated by COVID-19. Students of different cognitive capabilities join the learning process. However, it is challenging for the instructor to identify the level of comprehension of the individual learner, specifically when they waver in responding to feedback. The learner's facial expressions relate to content comprehension and engagement. This paper presents use of the vision transformer (ViT) to model automatic estimation of student engagement by learning the end-to-end features from facial images. The ViT architecture is used to enlarge the receptive field of the architecture by exploiting the multi-head attention operations. The model is trained using various loss functions to handle class imbalance. The ViT is evaluated on Dataset for Affective States in E-Environments (DAiSEE);it outperformed frame level baseline result by approximately 8% and the other two video level benchmarks by 8.78% and 2.78% achieving an overall accuracy of 55.18%. In addition, ViT with focal loss was also able to produce well distribution among classes except for one minority class. © 2022 IEEE.

Online presence of public archival institutions of South Africa

Purpose: In the wake of the fourth industrial revolution, where most information is accessible online, archives should be visible online for them to fulfil their legislated mandate and facilitate access to information resources. The Covid-19 pandemic has further underscored the importance of online platforms in making archives accessible without the public having to visit archival institutions physically. The purpose of this study is to examine the extent to which public archival institutions of South Africa are visible online with the view to deepen their understanding of how archives promote themselves online. Design/methodology/approach: The study employed content analysis to establish the online content of public archival institutions in South Africa. A google search was conducted using the names of the archival institutions as search terms. The top results obtained after the search were recorded for further analysis. Findings: The findings suggest that public archival institutions in South Africa have limited online presence. Only the National Archives of South Africa had an active website with collections that are accessible online. Some provincial archives had websites hosted by their parent bodies while others had no websites at all. Only the Limpopo and Eastern Cape provincial archives had their Facebook pages in the top results. There were no signs of other social media sites in the top results. Originality/value: The study concludes that public archival institutions are not visible online. All provincial archives need to have websites where they can be accessed. The use of social media platforms needs to be prioritised. In this fourth industrial revolution age, people communicate and interact online. Public archival institutions should therefore make it their primary mandate to take the archives to where the people are currently meeting. © 2023, Jan Maluleka, Marcia Nkwe and Patrick Ngulube.

Outreach and educational activities of ALICE in the times of the pandemic

The onset of the COVID pandemic in 2020 stopped all outreach and educational activities with in-person participation. The ALICE collaboration soon adapted to the new situation imposed by lockdowns and other restrictions. The multitude of online tools and platforms available allowed us to continue reaching out to the public. In-person visits and talks were replaced by virtual visits and virtual talks, done with dedicated equipment and allowing remote audiences to see the experiment and interact with scientists. Masterclasses for high-school students were also adapted and were held online;web-based versions for the analysis programs were developed, making it easy for students at home to take part in this exciting hands-on activity and become scientists for a day. This new format made it possible to reach out to new audiences, both students and general public, who normally would not have the opportunity to travel and participate;it also motivated more colleagues to be involved in outreach. We will discuss how these online activities were implemented and the experience gained. © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0)

Design of Collaborative Ubiquitous Learning in Promoting Digital Education: Integrating History, Science, Technology in Reflection Class

This paper attempted to present the Design of Collaborative Ubiquitous learning approach in promoting Digital Education in the integrated study called "Reflection Class”. The concept of this integrated History, Science, and Technology content used in this study was called "Story-based learning”. Besides, the learning activities were designed to support learner's collaborative ubiquitous learning. This process required learner's effort to work in group through the virtual online platform in order to inquire the Concept, Collaboration, and Content from class within 1 month. The learners received and responded to this CULD approach the high level of learning achievement in the context of 3C;Concept, Collaboration, and Content. Furthermore, the finding of this study could bring more digital education approach supporting the variety of learning approach during Covid-19 outbreak and Life-long learning. © ICCE 2022.All rights reserved.

Literature review of data analytics utilization in Supply Chain Management

With an exponential increase in transition of various business to technical platforms there has been a huge data transfer between various platforms occurring every second. In 2020, there was a significant increase in the number of businesses shifting to online platforms during COVID, which not only increased the data traffic but also led both academic and IT industry to think of various techniques to improve data quality and data transformations in order to achieve optimal solutions from their captured data. The current review paper provides insight about how data analytics has been used by various phases within Supply chain management and also addresses the usage of data analytics in creation of various SCM models. The paper also addresses a number of research gaps while creating these SCM models, which leads to future research directions. © 2023 IEEE.

ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics, Proceedings of System Demonstrations

The proceedings contain 27 papers. The topics discussed include: UKP-SQUARE: an online platform for question answering research;ViLMedic: a framework for research at the intersection of vision and language in medical AI;TextPruner: a model pruning toolkit for pre-trained language models;AnnIE: an annotation platform for constructing complete open information extraction benchmark;AdapterHub playground: simple and flexible few-shot learning with adapters;QiuNiu: a Chinese lyrics generation system with passage-level input;automatic gloss dictionary for sign language learners;PromptSource: an integrated development environment and repository for natural language prompts;COVID-19 claim radar: a structured claim extraction and tracking system;TS-Anno: an annotation tool to build, annotate and evaluate text simplification corpora;and CogKGE: a knowledge graph embedding toolkit and benchmark for representing multi-source and heterogeneous knowledge.

Student Activity Monitoring in Online Lectures Using Computer Vision and Internet of Things

Since the onset of the coronavirus pandemic, education in schools and colleges have been imparted through different online platforms like Zoom, MS teams, skype and more. Students have found ways to avoid attending lectures by manipulating camera angles, putting up recordings of their faces, fiddling with their phones and laptops, joining late during online classes or even napping during lectures. It is impossible for the faculty members to keep an eye on fifty or more students and teach the class at the same time. It is difficult to track record of how much attention each student is paying during classes. Many students waste plenty of time sitting idle in front of the teachers. They and their parents need to be made aware of how much portion of the class their ward is actually attentive and how much they are not. Teachers need to know and keep track of their students' activities during class and monitor their performances. Through this prototype we aim to solve and tackle the aforementioned problems and barriers that teachers and professors face to properly counsel their students during the pandemic or online lectures as a whole. OpenCV face recognition, tracking, eye detection will be used to read facial textures of the students during online classes. Immediate notification will be sent to student's phone via mail if they are not paying attention in class. IFT TT/ SMTP will be used to send messages through cross-devices. A mobile application on the teacher's phone will keep track of students' activities. © 2022 IEEE.