Investigating Awareness and Usage of Electronic Information Resources by the Engineering Students of NMIMS (Deemed to be University), Mumbai

During Covid-19 restrictions, electronic information resources have become a prominent source in the library. Most of the university academic activities heavily depend on electronic resources because they are easy to share, refer and communicate to the audience. This study investigates the awareness and usage of electronic information resources subscribed to by the university library. The well-designed online questionnaire helps to collect data from Undergraduate, Postgraduate, and Integrated engineering programs. A total of 232 filled questionnaires were received for the study. The data analysis shows that 91.38 % of the respondents know that electronic resources are available in the library, and the internet speed (56.90 %) is a significant hindrance in using resources. The detailed analysis of this study was discussed, and suggestions were also given to improve the awareness and usage of electronic information resources.

E-learning participation among Senior Secondary Students during COVID19 Pandemic Lockdown in Epe Local Government area of Lagos State

The study investigated e-learning participation among senior secondary school students during COVID-19 in Epe local government area of Lagos State. This is to ascertain the level of students' participation in using e-learning platforms in Epe local government area of Lagos State. The descriptive research design was adopted, while a multi-stage sampling procedure was used, stratified sampling technique was used to select senior secondary school in Epe local government area. While simple random sampling method was employed to select 195 students (116 males and 79 females) participant in the study. A structured questionnaire tagged "tagged Questionnaire on Senior Secondary Students E-learning Participation (QSSSELP) with the reliability coefficient of 0.98 was used for data collected. Three research questions were answered in the course of the study. The result showed that student level of participation in e-learning during CIVID-19 pandemic lockdown was low, despite the high level of benefit gained from using the platform and electricity supply, system breakdown and financial constrain were identified as factors militating against the use of the platform. Recommendations were made on how to improve students' use of el-learning facilities.

Digital Transformation Strategies, Practices, and Trends: A Large-Scale Retrospective Study Based on Machine Learning

The purpose of this research is to identify the areas of interest, research topics, and application areas that reflect the research nature of digital transformation (DT), as well as the strategies, practices, and trends of DT. To accomplish this, the Latent Dirichlet allocation algorithm, a probabilistic topic modeling technique, was applied to 5350 peer-reviewed journal articles on DT published in the last ten years, from 2013 to 2022. The analysis resulted in the discovery of 34 topics. These topics were classified, and a systematic taxonomy for DT was presented, including four sub-categories: implementation, technology, process, and human. As a result of time-based trend analysis, "Sustainable Energy”, "DT in Health”, "E-Government”, "DT in Education”, and "Supply Chain” emerged as top topics with an increasing trend. Our findings indicate that research interests are focused on specific applications of digital transformation in industrial and public settings. Based on our findings, we anticipate that the next phase of DT research and practice will concentrate on specific DT applications in government, health, education, and economics. "Sustainable Energy” and "Supply Chain” have been identified as the most prominent topics in current DT processes and applications. This study can help researchers and practitioners in the field by providing insights and implications about the evolution and applications of DT. Our findings are intended to serve as a guide for DT in understanding current research gaps and potential future research topics.

Skills in DC electrical circuits by doctors in training

This study describes the understanding of concepts and problem-solving skills associated with direct current electrical circuits of doctors in training at a private university in Bogotá (Colombia) in times of the COVID-19 pandemic. The study of direct current electrical circuits is conducted through a didactic sequence supported by active learning and internet resources. In the research, the Inventory of Basic Conceptions - DC Circuits (IBCDC) instrument is used. The implementation of the study was carried out in four phases: a Pre-test, a pedagogical strategy in which the theoretical approach is carried out while the real application of this thematic nucleus in the human body is mentioned, the integration of a simulation as a technological tool that allows giving continuity to the practical and theoretical character of physics and a post-test. The results invite researchers to conduct an implementation exercise in the face-to-face modality, to generate a comparative study.

Operation management of academic libraries in Hong Kong under COVID-19

PurposeThis research studies the influence of the COVID-19 pandemic on the operation management of Hong Kong academic libraries for understanding the difficulties and challenges for librarians to adapt to the special arrangements during the pandemic.Design/methodology/approachQualitative semi-structured interviews were conducted with librarians in major universities and higher education institutions of Hong Kong. Participants were interviewed either in the face-to-face format or text-based format.FindingsParticipants provided a broad scope about the actual library management and operation changes during the COVID-19. According to the respondents, the most challenging problem for librarians during COVID-19 was to strike a balance between concerns of library staff and users. While they described how these arrangements and changes affected the service quality of academic libraries from different perspectives, the pandemic situation also brought some opportunities, such as pushing the digitalization of all collections and using online resources for future development. A hybrid model for library service would be more common in the future with more demands toward online resources and digital collection, in which academic libraries should be prepared after the pandemic.Originality/valueThis paper provided broad insights into library management and the future development of academic libraries for the post-COVID-19 period. There are scant studies of this topic, especially in an Asian metropolis context with dense population, small campus and limited library physical spaces.

The impact of COVID-19 on museums in the digital era: Practices and challenges in Hong Kong

PurposeDuring the coronavirus disease 2019 (COVID-19) pandemic, museums, as public gathering places for citizens, have encountered unprecedented difficulties due to limitations to operate as usual for their traditional exhibitions and curations. Thus, museums made corresponding emergency attempts to accelerate digital resource and service platform constructions. Such difficulties aroused many potential problems with the applicability of electronic resources and the mismatch between user expectations and museum services. This study investigates the challenges faced by Hong Kong museums under COVID-19, emergency responses and deliberate practices of Hong Kong museums from the perspective of both museum staff and visitors, and COVID-19's influence on the roles and functions of Hong Kong museums.Design/methodology/approachQualitative interviews with museum staff and visitors were conducted to collect opinions and experiences in the construction and maintenance of museums during the pandemic. Further thematic analyses of museum websites, evaluations, and suggestions were formulated guided by the PEST (Political, Economic, Social, Technological) and AIDA (Attention, Interest, Desire, Action) models.FindingsFindings revealed many online interactions and offline renovations, but the perceptions of visitors and staff differed considerably. While online resources and virtual museums were expanded and well received, long-term prohibitions and repressions drove physical visit desire. Participants emphasized finding a balance between user expectations and realistic practices.Originality/valueScant studies focus on the impact of COVID-19 on the cultural industry, especially in East Asia. This study also highlights new practices of digitalization and the challenges of functional transformation. The authors' findings and suggestions provide hints to optimize the curation of information resources and improve museum service quality in the new digital era. This study also serves as a reliable and meaningful record of COVID-19 impacts on Hong Kong museums.

Features of the Application of Digital Technologies for Human Resources Management of an Engineering Enterprise

The main purpose of our study is to form a demonstration model of the main processes for introducing digital technologies into the human resources management system for engineering enterprises. Digital transformations are associated with management changes, which are based on the technologies of the Internet of Things, artificial intelligence, blockchain, machine learning, Industry 4.0, Big Data in all spheres of public life. Investing in human capital has always been considered a productive investment. The digital economy has increased the urgency of increasing labor productivity through the transformation of human governance mechanisms. The main and key processes of the introduction of digital technologies in the human resources management system of the engineering enterprise were considered. The digitalization of society has radically changed people's lives and opened up new opportunities in the field of human resources management. The digital transformation of the human resources system affects all types of businesses, from large corporations to small micro-firms. As a result, the key stages and processes of implementation of digital technologies in the human resources management system of the enterprise were presented. The research methodology consisted of the application of modeling and graphical display methods.

IN THE Wake

ASQ survey shows how job seekers, employers alike leverage online tools and new credentials to navigate a sometimes-choppy, challenging job market created by COVID-19 Maybe you're a quality professional wondering whether your career is all it can be. To learn more about those effects, ASQ sent out a pulse survey to 7,400 members in March to reach below the surface and take a closer look into how this historic phenomenon is affecting hiring practices and career development in the quality arena. [...]the infographic, "The Next Wave" (pp. 20-21), highlights the valuable ASQ resources that can help improve your abilities and credentials, buoying your chances for a successful job search or promotion. An estimate from late March had 44% of U.S. citizens currently seeking a new position.1 The pulse survey suggests, however, that the wave of resignations may not be slamming the quality profession as hard as it has hit other parts of the economy.

Researchers' perception and response to the open access resources (OAR) in higher learning institutions of Tamil Nadu, India

PurposeThe purpose of this study is to report the results of a survey conducted at Bharathidasan and Alagappa Universities to determine the research scholars' awareness, use of Open Access (OA) resources, reasons for using, impact of OA on the research scholars' research, satisfaction and problems faced.Design/methodology/approachIn this study, a self-assessed questionnaire was developed to collect data from the research scholars pursuing their research degrees from Bharathidasan and Alagappa Universities of Tamil Nadu, India. A total of 400 research scholars from various disciplines responded were used for analysis.FindingsThe results indicated that the majority of research scholars aware of few OA resources to a large extent and afraid to redistribute the sources as they fear of copyright issues. Easy to use, more informative and global research at one place were the major reasons for accessing the resources. The research scholars were aware of OA features and OA's impact such as freedom to use, modify, resources available with source code, reliability, self-archiving, quick publishing, more citations etc. Delay in downloading and lack of computer terminals to access the resources were the major issues faced by the research scholars. On the whole, the researchers are considering OA model as an alternative to business model and expect the university librarians to promote and enhance the accessibility of OA resources.Practical implicationsThe outcomes of the results will enable the librarians and authorities in universities to formulate appropriate decisions to remove the issues faced by the research scholars and develop a framework for new literacy instructions.Originality/valueThe study undertaken is new to the Indian continent and the Tami Nadu state in particular. The findings of the study will be useful to improve the awareness level and use of OA resources effectively.

GENDERED PERCEPTION OF ONLINE UNIVERSITY LEARNING OF STEM ENTREPRENEURSHIP DURING THE COVID-19 PANDEMIC

Online educational experiences have exploded in popularity at the advent of the internet of things. Just as all forms before it, online learning has experienced implicit biases. With the abrupt lockdowns mandated by governments across the world, as a result of the COVID-19 pandemic, many educational institutions were thrust into an online learning environment with similarities and differences to the established online institutions already in place. Educational systems were forced to prepare and install methods of communication and instruction by using online resources such as online video calls and discussion forums. Here, we assess the impact of the COVID-19 pandemic on the Pre-Capstone Innovation Experience course at New York University, which provides entrepreneurship education in science, technology, engineering, and math (STEM) for undergraduates. Assessments captured between 2017 and 2020 from Pre-Capstone Innovation Experience participants demonstrate the gendered impact of the COVID-19 pandemic on the learning of undergraduate students.

Building supply chain resilience through ambidexterity: an information processing perspective

This paper makes an initial attempt to develop a theory of supply chain resilience through ambidexterity in the context of the COVID-19 pandemic. We conducted a single-case analysis focusing on Zong-Teng Group, one of the biggest cross-border e-commerce enterprises in China, as our sample. Data were mainly collected from interviews with Zong-Teng managers and public online resources. Through case analysis, this paper identifies that a fit between the information processing requirements of a firm and its information processing capability leads to greater ambidexterity for exploitation and exploration, which in turn improves supply chain resilience (SCR) in the form of agility, redundancy and flexibility. In addition, ambidexterity in terms of morality improves SCR culture. This paper may be the first to adopt information processing theory to examine SCR and consider the role of ambidexterity, noting that crises such as COVID-19 impose an exponential increase in information processing requirements, to which many firms fail to respond effectively.

ROLE OF ARTIFICIAL INTELLIGENCE IN FUTURE OF EDUCATION

Purpose: The purpose of this study is to examine that Globalization has radically altered human society in the previous 150 years. With the internet of things, energy, and the cyber-physical systems governed by it coming to an end, conventional education faces an immense challenge. That will associate this tension with internet usage and reward students and teachers alike. It can be claimed that future education is entirely built on the internet of things, energy, and the cyber-physical systems ruled by it. As these systems end, traditional education confronts a massive challenge. This moves increases students' screening time, which influences their mental health. Theoretical Framework: The paper speculates on the near future of research in Artificial Intelligence and Education (AIED), on the basis of three uses of models of educational processes with also evaluating literature available. Design/Methodology/Approach: The classification algorithms SVM, Naive Bayes, and Random Forest benefit from 5-fold Cross-Validation with 206 students from Delhi NCR and outside. Researcher is finding for how are the ages distributed? How many students got mental health care? So, what did they do? Their ages? How many meals did they eat? After the COVID-19 virus spread in Delhi, India, the study looked at factors that led to an increased mental health burden for undergraduate students in the city. The dataset is constructed by combining data from several domains such as age, time, medium meals etc. Thus, researcher pre-processed the data and classified it into four categories based on their location within the Delhi NCR and outside the NCR. The suggested model is evaluated using a K field fold cross-validation test. Findings: The findings have shown that practical implications of technology will positively impact education in the future, but it may also have severe implications. Teachers and students should grasp this chance to encourage greatness and break down the hurdles that keep many children and schools from reaching it. As a result, all countries must develop a more technologically advanced education system in the future. Research, Practical and social implications: The study in advances in technology will have major distractions in the workforce as automation might replace more than fifty percent of jobs. It is crucial to teach students skills to thrive in digital workplace, engage positively with technology to explore its full potential. The contribution of this study about AI systems are technically feasible for instructor-learner interaction. It is important to foster AI literacy in students to break the barrier of misconceptions and make way for imagination, innovation with new perspectives in society. Originality/Value: The value of the study is to educational institutions and related organizations seeking for role of artificial intelligence in education. © 2022 AOS-Estratagia and Inovacao. All rights reserved.

Using memes to promote student engagement and classroom community during remote learning.

As colleges moved to online teaching during the COVID-19 pandemic, many instructors found it difficult to maintain student engagement and classroom community in the virtual environment. We developed a semester-long activity for a molecular biology research methodology course where students created, and shared original memes related to course content with peers through group chat. Surveys and semi-structured interviews revealed that the exercise was effective in promoting student engagement, a sense of community, and relieving stress.

Multiple face mask wearer detection based on YOLOv3 approach

The coronavirus disease 2019 (COVID-19) is a highly infectious disease caused by the SARS-CoV-2 coronavirus. In breaking the transmission chain of SARS-CoV-2, the government has made it compulsory for the people to wear a mask in public places to prevent COVID-19 transmission. Hence, an automated face mask detection is crucial to facilitate the monitoring process in ensuring people to wear a face mask in public. This project aims to develop an automated face and face mask detection for multiple people by applying deep learning-based object detection algorithm you only look once version 3 (YOLOv3). YOLOv3 object detection algorithm was concatenated with different backbones including ResNet-50 and Darknet-53 to develop the face and face mask detection model. Datasets were collected from online resources including Kaggle and Github and the images were filtered and labelled accordingly. The models were trained on 4393 images and evaluated based on precision, recall, mean average precision and the detection time. In conclusion, DarkNet53_YOLOv3 was chosen as the better model compared to ResNet50_YOLOv3 model with its good performance on accuracy with a mAP of 95.94% and a fast detection speed with a detection time of 50 seconds on 776 images.

Frailty goes viral: a critical discourse analysis of COVID-19 national clinical guidelines in the United Kingdom

This paper explores how the rationing of medical care for older people by frailty score was justified and operationalised in the UK during the COVID-19 pandemic. COVID-19 was expected to overwhelm the National Health Service (NHS) in the UK. In March 2020, the National Institute for Health and Care Excellence (NICE) published the ‘COVID-19 rapid guideline: critical care in adults', which advised that clinicians use the Clinical Frailty Score (CFS) to inform decisions about which patients over the age of 65 should be offered ventilatory support. We present a Foucauldian Critical Discourse Analysis of this guidance and the supporting online resources. Analysis shows how the guidance merchandises the CFS as a quick and easy-to-use technology that reduces social and physical complexity into a clinical score. This stratifies older people by frailty score and permits the allocation of resources along these lines. We show how this is justified through epidemiological discourses of risk, which are merged with the language of individual mortality prediction. We discuss the proceduralisation of the CFS alongside a growing body of research that problematises its application in resource allocation. We argue that the pandemic has increased the use of the concept of frailty and that this effectively obfuscates the concept's limitations and ambiguities;the ageism implicit in the response to COVID-19 in the UK;and the relative resource scarcity facing the UK's NHS.

The Impact of COVID-19 on the Legal Information Profession within Law Firms

The purpose of this research is to understand the impact of the COVID-19 pandemic on the legal information profession within law firm libraries in Britain and Ireland. As the pandemic only began the year before commencing this research, few studies had been conducted on the topic, thereby a clear opening for this study emerged. This study uses a survey research strategy comprised of a mixed methods research approach. Desk research in the form of a literature review opens the study. A questionnaire and 5 semi-structured interviews were subsequently conducted. To understand the impact of the pandemic on the legal information profession within law firm libraries, the research objectives break the topic down into 4 areas that give insight into the consequences of the pandemic. The research found that A) working from home was the major impact faced due to the lockdown in spring 2020;B) use and spending on print resources declined;C) the role of legal information professionals has not significantly changed;and D) future legal information professionals will need to upskill due to technological developments and improve the image of the profession. Owing to the recent outset of the COVID-19 pandemic, it is important to compare the findings of this research to similar future studies to determine the validity of the results.

A digital module-based experiential learning in protein biochemistry during the COVID-19 pandemic paradigm.

Experiential learning is compromised in meeting the educational demands of our students during the challenging time of the COVID-19 pandemic. A more inclusive, flexible, and objective-oriented experiential learning environment is required. In this context, module-based experiential learning that is executable on a digital platform was designed. The learning module focused on protein biochemistry, contained a combination of asynchronous and synchronous activities categorized into 'Knowledge Hub' and 'Lab-based Movie', across 5 weeks. Digital and module-based experiential learning provides equitable, inclusive, and flexible access to students at remote locations. Furthermore, it is an objective-oriented and highly organized experiential learning framework that encourages students to engage and participate more in the learning process.

Sistemas de análisis a la implicación de las familias en la educación infantil a distancia

For this reason, the present study describes and analyzes, based on the reports, the implications of mothers on the distance education of their children during the pandemic. Of the 4 subcategories, the involvement of mothers in terms of time and space, use of digital resources and internet connectivity was difficult. [...]during the distance education of children in times of the COVID-19 pandemic, mothers showed greater commitment and accompaniment in learning activities, despite the difficulties in managing virtual resources, inadequate internet connectivity and little time for their daily tasks inside and outside the home. Para la inclusión en la muestra se consideraron dos fases;en la primera fase, se hizo la invitación virtual.

The pandemic of loneliness: designing smart tourism for combating loneliness

Many technologically driven societies currently experience a “pandemic of loneliness“. The purpose of this viewpoint paper is to conceptualize loneliness as a persistent and widespread issue among consumers that has been amplified by the COVID-19 pandemic and increasingly spills over into the travel and tourism domain. This issue creates many challenges for smart tourism design as it implies changed consumer perspectives on smart tourism and needs for smart tourist experiences. This viewpoint paper is based on a review of relevant academic literature and online resources regarding the issue of loneliness, before and during the COVID-19 pandemic, and potential solutions in smart tourism settings. Loneliness has been completely overlooked by the smart tourism research agenda despite its tremendous implications for engagement, value co-creation, and the need for experience enhancement. This viewpoint paper proposes a framework for designing a loneliness-sensitive smart tourism ecosystem (LoSSTE). The purpose of this paper is to start a debate on how to mobilize smart tourism research for combating loneliness in the post-pandemic era and to outline areas for further research.