ABSTRACT
Due to the COVID-19 outbreak, people worldwide had to self-quarantine in their homes, resulting in the youth having to continue their education online. The lockdown and the effects of the pandemic impacted students' mental health, exhibiting frustration, stress, and depression. The latter is not ideal for a healthy learning environment, as it involves many coping mechanisms. This study analyzed a database compiling the habits of 1182 individuals in different age groups at various educational institutes in the Delhi-National Capital Region (NCR), India. It identifies factors leading to proposing recommendations to improve students' online education experiences worldwide and facilitate their learning while caring for their mental health. A CRISP-DM methodology was followed to build a model capable of predicting students' satisfaction ratings for online classes by analyzing the students' demographic information and daily habits. © 2023 IEEE.
ABSTRACT
Cloud computing (CC) is a revolution that can provide information technology (IT) as a service. CC offers infrastructure, platform, and software services, as demand peaks and surges. This paper aims to investigate how prospective adopters behave when external factors such as "Coronavirus Pandemic- COVID-19” impact their technology adoption decision-making. The study also explores how a prospective adopter behaves i.e., if his/her intention to adopt any new innovation increases in presence of stronger disruptive factors (COVID-19). This research empirically examines if the intent to adopt secured (online) services impacts actual CC adoption (CCA) in pre-COVID-19 and during COVID-19 eras. It also provides an idea of how prospective adopters behave when they face disruptions caused by the pandemic situation, and how the holistic relation is reflected in terms of its influence on academic performance. This study has used Technology Acceptance Model (TAM) with sequential mediation effect of intent to adopt secured online services and CCA on Academic Performance (AP) using a sample of 867 students from 25 different Indian universities in Tier 1 and Tier 2 cities. Using AMOS, a structural equation modelling was conducted to test the research model. The results highlight that there is a significant difference between the influence of perceived usefulness (PU) as well as perceived ease of use (PEOU) on CCA due to COVID-19. The results also provide empirical evidence of gender moderating the relationship of PU as well as PEOU with CCA. This is the first study that provides comparative results from pre-COVID and post-COVID era, this work provides a reference point to practitioners and academicians, especially when evaluating factors before making a final decision regarding any emerging technology's adoption. © 2023 Elsevier Inc.
ABSTRACT
The education sector and the students are the ones who have been largely affected by the spread of the global pandemic. The sudden outbreak of the coronavirus has taken an enormous emotional and psychological toll on people. Across the world, people had to face various problems starting from very simple daily life necessities to education, work-related problems. In the domain of education, adaptability came along with a set of challenges and took some time to settle. The transition in the teaching-learning process across the world has been truly undeniable. Like all other things, even this new mode of imparting education has its own set of benefits as well as drawbacks. Since the outbreak of COVID-19, a lot of research has been going on in understanding the kind of psychological impact it causes and how the students are impacted due to reshaping the teaching-learning process. As per UNESCO 2020 report, greater will be the risk of children losing out on their youth, and future due to the closure of the educational institutes. Adequate training and assessment are required for the teachers to adjust to the new technology-based learning. This article tried to analyze the transition in the teaching-learning process and its effect on students and how is it affecting their quality of life as well as we also shed some light on how it has shown some positive aspects and has proved to enrich the learning process amidst the adversities. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
Due to the impact of Covid-19, many students all over the world have faced some educational issues. Therefore, many educational institutes focused on shifting their learning process to E-learning system. To provide a complete E-learning system, the performing of virtual and remote Laboratory experiments is needed. In this paper, a generic and flexible online authoring tool for the Laboratory Learning System (LLS) is presented. The LLS system is a platform that provides teachers and students with a flexible environment for virtual and remote controlled labs using the proposed authoring tool. The heart of the LLS system is the authoring tool which facilities the ease and flexibility of designing various laboratory experiments which includes a number of pages, and each page has a number of steps with many draggable components. Furthermore, the proposed authoring tool is the first authoring tool that provides general and reusable virtual laboratory resource (VLR) for automatically managing laboratory software and hardware resources. To support the new VRL feature of the authoring tool, the LLS supports the ability to remotely control the laboratory equipment while performing laboratory experiments and also has the capability to run any type of simulation tool for virtually simulated labs. The proposed authoring tool is designed considering all the needed components with well-defined interfaces to achieve an effective and flexible Laboratory learning system. © 2022 IEEE.
ABSTRACT
As we all know fingerprint recognition is one of the secure and accurate Biometric Technologies. If think about it in deep even with the Biometric system the virus can be spread during these situations. To overcome this, we need to come up with a secure and contactless way of authentication. So, let's update to some contactless remedies like Iris authentication which are unique for every individual and they don't need to have any physical contact. So, we can use this Iris detection for a secure and contactless authentication system. The main aim of this research is to provide contactless remedies for students in Educational institutes like Smart Locking system, Attendance management system, and Library Transaction by using their Iris authentication and Face Recognition. Coming to the outline of the attendance management system, we will first collect the data from the Kaggle repository. Next, we split the data into training and testing, then we will train the data using transfer learning techniques and test the model by using test data. Finally, we integrated the trained model with the flask. If the Iris matches then the attendance of a particular person will be posted. If not matched then we train the model by adding new person's data. For the construction of modern electronic security systems, real-time face recognition is crucial. Face detection, feature extraction, and face recognition are the three procedures involved. After recognizing the face, it will check whether the person's face matches the collected database. If it matches it will show the person's name, the number of books he took, and what those books are for Library transactions and in the same way the locker will be open if the person's data is matched. The proposed methods are secure and unique contactless ways of authentication for every individual. So, we can use these detection and authentication systems for secure and contactless applications. It can be successfully used for students in Educational institutes like Smart Locking system, Attendance management system, and Library Transaction by using their Iris authentication and Face Recognition. The Covid-19 infection in society will undoubtedly decline if the proposed argument is implemented. © 2023 The authors and IOS Press.
ABSTRACT
In 2019, the Covid-19 pandemic led to emergency changes in the educational sector as a precautionary measure to limit the spread of the Covid-19 virus and protect the health and safety of students. Educational institutes couldn't escape this havoc;by April 2020, 189 countries had suspended school, affecting 89 percent of the world's students. Since the epidemic began, online learning has completely taken over the educational industry, leaving students with no choice but to adapt to the brand-new virtual learning environment. Consequently, people turned to social media, such as Twitter, to express their feelings, opinions, and concerns about online learning as an alternative to traditional physical classes. The new online learning platforms, associated technologies, and procedures have been widely discussed on Twitter. In the proposed study, we have presented a systematic approach to analyze the public opinions and perceptions about online learning using Twitter sentiment analysis (TSA) through Twitter's API and term frequency-inverse document frequency (TF-IDF) technique. Further, we classified the sentiments into certain clusters, such as positive, negative, and neutral, using a text mining approach (i.e., lexicons). Moreover, we have uncovered these sentiments and visualized the clusters using visualization techniques such as word clouds and bar charts. Additionally, by using TF-IDF, we measured the strength of words that people use to express their opinions about online schooling and explored to what extent it affects the overall results of our analysis. © 2022 IEEE.
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COVID-19 causes remote work from home arrangements to be implemented for limiting the spread of diseases. This article is interested to diagnose the impact of digital resources availability and remote leadership on work productivity. For examining the developed hypothesizes, this article has conducted a survey based study which involved 2,082 lecturers, teachers, and administration staffs from an Indonesian educational institute. The results reveal that digital resources and remote leadership have a significant positive impact on telework productivity. For keeping employees productive in telework arrangements, organizations should pay attention simultaneously on the availability of digital resources at employees' homes as well as increasing remote leadership capability of the supervisors. © 2022 IEEE.
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Importance of online education can be seen especially during the ongoing Covid-19 when going to schools or colleges is not possible. So validity of online exams should also be maintained with respect to traditional pen-paper examinations. However, absence of invigilator makes it easy for the examinees to cheat during the exam. Though there are already many systems for online proctoring, not all educational institutes can afford them as the systems are very expensive. In this paper, we have used eye gaze and head pose estimation as the main features to design our online proctoring system. Therefore, the purpose of this paper is to use these features to create an online proctoring system using computer vision and machine learning and stop cheating attempts in exams. © 2021 IEEE.
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Educational institutes across India have closed due to COVID-19 pandemic which has jeopardized academic schedules. To maintain their academic activities, several Indian educational institutes have shifted to online learning platforms. However, there are still questions about the effectiveness, design, and readiness of e-learning. In light of this fact, E-learning still tends to be controversial. As a result, it is inevitable to design an application with greater usability. In this paper, a novel application tool is developed and the design is proposed to enhance student knowledge and facilitate their study process, so they can study in comfort at home. The proposed system allows students to receive personalized educational assistance and also allows the students to get instant responses to all their questions throughout the day via a voice-enabled chatbot. It facilitates the connection between students and tutors, as well as the awarding of mind coins and badges based on how well they do, motivating them to learn more. Data analytics is incorporated and usability is measured. The result shows that the proposed system has greater usability resulting in a progressive improvement in the student's performance. © 2022 IEEE.
ABSTRACT
Background The coronavirus 2019 (COVID-19) pandemic and the necessary measures to contain the spread of the disease shaped the living and working situation of many people in 2020/2021. Universities also had to implement measures to protect employees from infection in order to continue research and teaching. These had positive and negative effects on the subjective health and everyday working situation of employees. In order to avoid possible risks in the future in similarly challenging situations or in the continuation of measures, knowledge about health effects is important. Methods Using a mixed-methods approach, academic professionals and experts of equality, inclusion, health management, and counseling were surveyed using an online questionnaire on the impact of professional support measures in the wake of the COVID-19 pandemic on the subjective health and well-being of university employees. Results A total of 117 experts participated in the quantitative survey. The dissolution of boundaries between private and professional life (71%) and the health behavior of employees (55%) were perceived critically. Most (81%) perceive the collegial interaction as positive. At the same time, the experts see a deterioration in social relations (78%). According to their assessment, the work situation under COVID-19 conditions is mostly manageable (55%), understandable (71%), and reasonable (64%) for the employees. Conclusion The experts convey a differentiated picture of the situation. There is evidence that the situation is proving to be significantly more challenging for specific groups of employees in higher education than for others. If online teaching and telecommuting are to become established at universities, attention will have to be paid to aspects of social health and dissolution of boundaries between work and private life.
ABSTRACT
The crisis induced by the Coronavirus pandemic severely impacted educational institutes. Even with vaccination efforts underway in 2021, it was not clear that sufficient confidence will be achieved for schools to reopen soon. This paper considers the impact of testing rates in addition to vaccination rates in order to reduce infections and hospitalizations and evaluates strategies that allow educational institute in urban settings to remain open. These strategies are also applicable to big campus style businesses and would help planning to keep the businesses open and help the economy. Our analysis is based on a graph model where nodes represent population groups and edges represent population exchanges due to commuting populations. The commuting population is associated with edges and is associated with one of the end nodes of the edge during part of the time period and with the other node during the remainder of the time period. The progression of the disease at each node is determined via compartment models, that include vaccination rates and testing to place infected people in quarantine along with consideration of asymptomatic and symptomatic populations. Applying this to a university population in Chicago with a substantial commuter population, chosen to be 80% of the school's population as an illustration, provides an analysis which specifies benefits of testing and vaccination strategies over a time period of 150 days. © 2022 Owner/Author.
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The COVID-19 pandemic has forced educational institutes worldwide to rapidly adapt to a remote-only learning environment. This poses significant challenges for laboratories involving hands-on training and interaction with specialized equipment, such as those of physical computing courses. In this context, we present a simple, low-cost solution for conducting remote laboratories in microcontroller and PLC programming, by adapting existing lab hardware and extending it to function remotely. A key element of the proposed setup is a physical input simulator board, which allows remote users to issue inputs (digital and/or analog signals) to the development hardware, through a graphical user interface application running on the workstation PC. The latter is also equipped with a camera and a light, so as to form a complete remote access and monitoring solution. This setup was used during the coronavirus lockdown in two courses of the Dept. of Electrical and Computer Engineering of the Hellenic Mediterranean University, receiving a very positive evaluation from the students. The proposed setup can also be used as a hybrid solution for laboratories during normal conditions, and to facilitate efficient use of teaching resources by allowing 24/7 access to the laboratory units. © 2022 IEEE.
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The current study’s objective examines contemporary advancements in learning utilizing digital technology for educational purposes during the recent pandemic outbreak. The study analysed the challenges, capabilities, and resilience of these digital learning environments and the future of digital learning. The PRISM statement is used to select records and assess the final 37 studies for the current investigation. According to the findings, the COVID-19 pandemic posed a significant challenge to educational institutions, and online learning was a challenging work for students and teachers. The availability of a large number of digital learning platforms, on the other hand, considerably mitigates the problem. Students’ and teachers’ skills and capacities have grown as a result of the learning process utilising digital platforms. The current study’s findings show that education in the post-COVID-19 era is heavily reliant on digital sources, and that new technologies greatly enhance the learning process. © 2022. International Journal of Interactive Mobile Technologies. All Rights Reserved.
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Student mental health in higher education has been an increasing concern. The COVID-19 pandemic situation has brought this vulnerable population into renewed focus. Governments had to close several sections, including educational institutes and universities, around the world suddenly in March 2020. Hence, emergency remote learning was adopted as alternative and as an immediate response to the ongoing situation using whatever available online tools. As a result, both students and instructors were forced to adapt to this new situation. While there were several studies that addressed several issues related to preparation, contents, course delivery, readiness, etc., there are few ones that were intended to address the mental challenges resulted from the shift to emergency remote learning. The main motivation behind this study is to understand the mental challenges and effects of the sudden transformation into emergency remote learning considering engineering students as case study and improve the delivery and experience of learning for both the instructors and the students. © 2021 IEEE.
ABSTRACT
In conventional attendance system, taking roll call in class time or monitoring the presence of student/employee in an educational institute or an industry has been a time-consuming process. It is also very important to see that all educational institutes are concerned about the consistency of student's performance. The main cause of this is decrease is due to inadequate attendance. So, an advanced student attendance checking system is required which supports the faculty to keep records of attendance. In this project we have introduced an intelligent face recognition-based attendance system. We have proposed to implement a 'Smart Attendance through Face Recognition' which uses viola-jones algorithm for training and detection of faces. Because viola jones is highly strong, and its use has proved to be particularly noteworthy in real-time detection. The present implementation includes time-saving facial identification and eradicates the possibilities of proxy attendance due to facial authorization. In this pandemic season to alert the staff about the infected covid patients we are using thermal scanning to detect the temperature of a person. So that we would be the reason to decrease the spread of covid and save innocent lives. This system can now be used in an area in which participation plays an important role. © 2022 IEEE.
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Technology is one of the modes of education to optimize teaching and learning methodologies in imparting knowledge. Talking about higher educational institutes, one can see the same pedagogy as it used to be a decade ago. However, these Institutes are plagued by many challenges like lack of infrastructure and inadequate technology access, and it is essential to see how these burgeoning technologies (ICT) are fostering and bridging this massive gap of teaching and learning and keeping pace with the rest of the part of the globe. ICT has revolutionized almost every sphere of society. The education system is one of the sectors that has also undergone a massive change with ICT incorporation. After the arrival of the worldwide covid pandemic, the use of ICT in education has increased extensively. This paper has performed a comparative analysis on ICT usage by the students and teachers of engineering institutions in pre-covid age and post-covid age. The survey method of data collection has been used in this research work. Analysis of results has revealed that the usage of ICT by the students and teachers has been significantly increased after the arrival of covid. Moreover, the presented work has highlighted the issues raised by the students and teachers in the post-covid time. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
The world has witnessed an unprecedented disruption due to the COVID-19 pandemic, temporarily halting various educational activities at educational institutes like universities, schools and colleges. Both educators and learners were forced to adapt to the new situation and continue to face the challenges, together. Hence many universities and colleges were compelled to move from the traditional method of teaching to the online method of delivering courses. Blended learning has been adopted to effectively deliver the courses online which comprises asynchronous and synchronous delivery. KLE Technological University turned this situation into an opportunity of beginning a new era of learning on campus, there was a strategic shift from traditional learning to blended learning. In this blended model, the student learned various courses in asynchronous mode through pre-recorded videos and study material on the Learning Management System (LMS). When the students learn in such an online learning environment, there comes a demand for learning accountability, hence there was a need to implement best assessment practices during asynchronous learning. The assessment method chosen was post-test, which was conducted to assess if the students had met their learning goals. This paper mainly focuses on conducting the post-test effectively and carrying out an extensive analysis of the student's performance. To make sure students have understood the concepts well, the questions framed were of higher bloom's level focusing on the different topic learning outcomes. An intervention was designed to create concept-wise questions mapped to bloom's level and different outcome-based education parameters. Post-test results are collected using a tool called Dipstick integrated with the LMS. Through this tool different reports are generated that helps the course instructor to analyze the student's depth of learning. The graphs generated through the Dipstick tool shows dips wherever a student lacks in understanding the concepts. The Dipstick report will help the course instructor in identifying and convincing the unclear concepts to the students by thinking in two dimensions, that of re-designing the content or by thinking of effective pedagogy to teach the concepts. © 2022 IEEE.
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COVID-19 has impacted the lifestyle worldwide. Health, economy, daily routines, work culture, research, mode of communications etc. all have been adversely affected and a new normal has been defined. Until an effective and reliable vaccine is developed, social distancing is one of the key solutions to prevent the virus from affecting the community as lockdown is never a permanent solution to this problem. In order to ensure proper social distancing at any organization, a system is developed that is able to detect whether the people are following social distancing norms by using the proposed 'Distancia-the new normal Algorithm'. The system is designed such that it gives an alert whenever the social distancing norms are violated. It can be deployed with a CCTV camera, so that the live footage fetched by the CCTV can be directly used by the system for checking that the social distancing is being followed or not. Any organization regardless of the number of employees can use this system. Existing mobile applications designed for this purpose cannot be used at schools, educational institutes or any other organization where the use of mobile phones is prohibited. Also, since the effect of rain is not considered in any of the existing system, therefore the present applications can only be deployed at limited places where there is no hindrance caused by rain/snow etc. Thus, the proposed system can prove to be of great importance for organizations where keeping a check of the social distancing is difficult. © 2021 IEEE.
ABSTRACT
The entire education system has undergone numerous changes to stand unhindered during the current COVID-19 pandemic. All over the world, the educational system has changed its teaching and learning methods. One of its important aspects, evaluating the students' overall performance has become a complex task with these changing patterns. The traditional approach of evaluation may not be a best fit anymore since multiple factors are required to make an all-inclusive, multifaceted decision to keep up with the upgrades in evaluation schemes and patterns. Also, Universities and educational institutes understood the importance of skill based learning and major changes are being made in the curriculum, which in turn need cognitive approach to evaluate the students' performance. Hence, we have proposed, designed and implemented a solution, a fuzzy logic-based model. This model, while showing the difference between the traditional approach and the inference system, will enable the educational institutes not only to evaluate a students' performance but also to understand the students in a comprehensive manner. © 2021 IEEE.
ABSTRACT
This work investigates the use of distance learning in saving students' academic year amid COVID-19 lockdown. It assesses the adoption of distance learning using various online application tools that have gained widespread attention during the coronavirus infectious disease 2019 (COVID-19) pandemic. Distance learning thrives as a legitimate alternative to classroom instructions, as major cities around the globe are locked down amid the COVID-19 pandemic. To save the academic year, educational institutions have reacted to the situation impulsively and adopted distance learning platforms using online resources. This study surveyed random undergraduate students to identify the impact of trust in formal and informal information sources, awareness and the readiness to adopt distance learning. In this study, we have hypothesized that adopting distance learning is an outcome of situational awareness and readiness, which is achieved by the trust in the information sources related to distance learning. The findings indicate that trust in information sources such as institute and media information or interpersonal communication related to distance learning programs is correlated with awareness (ß = 0.423, t = 12.296, p = 0.000) and contribute to readiness (ß = 0.593, t = 28.762, p = 0.001). The structural model path coefficient indicates that readiness strongly influences the adoption of distance learning (ß = 0.660, t = 12.798, p = 0.000) amid the COVID-19 pandemic. Our proposed model recorded a predictive relevance (Q2) of 0.377 for awareness, 0.559 for readiness, and 0.309 for the adoption of distance learning, which explains how well the model and its parameter estimates reconstruct the values. This study concludes with implications for further research in this area.