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There is a significant decrease in students' attendance in Zoom classes compared to traditional classes. This paper investigates the factors that affect students' attitudes, behavioral intentions and actual use of Zoom for online classes at higher educational institutions (HEIs) in Sri Lanka.

This research uses the technology acceptance model (TAM) as a theoretical model. The data are collected from HEI students via an online survey form. The hypotheses between constructs in the model are tested using partial least squared–structural equation model.

The analysis shows that computer self-efficacy (CSE) affects perceived usefulness (PU) and perceived ease of use (PEU), which affects attitude (ATT) and behavioral intention (BI) and actual use (AU) of Zoom in a chain reaction. Further, PEU affects PU, which, in turn, affects BI. Furthermore, the effect size of PU to BI is larger than ATT to BI.

Students' attendance for Zoom classes mainly depends on CSE, PU and PEU. Therefore, HEIs should promote Zoom with interactive training before teaching online. Further, officials should revise the curriculum in schools to upsurge the CSE of students.

During coronavirus-19, no research was published on students' use of Zoom for online classes in the Sri Lankan context. Moreover, the TAM model has been modified by including CSE as an external variable.

This paper aims to propose a solution for detecting and grading diabetic retinopathy (DR) in retinal images using a convolutional neural network (CNN)-based approach. It could classify input retinal images into a normal class or an abnormal class, which would be further split into four stages of abnormalities automatically.

The proposed solution is developed based on a newly proposed CNN architecture, namely, DeepRoot. It consists of one main branch, which is connected by two side branches. The main branch is responsible for the primary feature extractor of both high-level and low-level features of retinal images. Then, the side branches further extract more complex and detailed features from the features outputted from the main branch. They are designed to capture details of small traces of DR in retinal images, using modified zoom-in/zoom-out and attention layers.

The proposed method is trained, validated and tested on the Kaggle dataset. The regularization of the trained model is evaluated using unseen data samples, which were self-collected from a real scenario from a hospital. It achieves a promising performance with a sensitivity of 98.18% under the two classes scenario.

The new CNN-based architecture (i.e. DeepRoot) is introduced with the concept of a multi-branch network. It could assist in solving a problem of an unbalanced dataset, especially when there are common characteristics across different classes (i.e. four stages of DR). Different classes could be outputted at different depths of the network.

This paper explores the collaborative dynamics and dimensions within a virtual multi-cultural and interdisciplinary workplace. The study focusses on the use of online communication technologies to enhance social inclusion and networking within academia.

This study uses an autoethnographic approach to draw on the personal experiences of a team of four scholars, including three early-career researchers and a senior scholar. Their reflections on their academic positionality and the institutional constraints reveal both the strengths and vulnerabilities of collaborating in a virtual workplace.

The findings offer insights into the complexities of navigating social dynamics, such as delegating responsibilities, organising meetings across various time zones and encouraging continuous collaboration, inclusivity and effective communication during an extensive timeline. As a result, their experiences revealed that a virtual workplace culture with similar and different attributes to a “normal” workplace emerged.

The paper demonstrates how to create an effective and inclusive virtual workplace by exemplifying best practices in academia and providing practical guidance for individuals and institutions based on honest, co-produced autoethnographic reflections of the authors’ lived experiences.

The COVID-19 pandemic has disrupted the ‘real’ world and substantially impacted the virtual world and thus the Internet ecosystem. It has caused a significant exogenous shock that offers a wealth of natural experiments and produced new data about broadband, clouds, and the Internet in times of crisis. In this chapter, we characterise and evaluate the evolving impact of the global COVID-19 crisis on traffic patterns and loads and the impact of those on Internet performance from multiple perspectives. While we place a particular focus on deriving insights into how we can better respond to crises and better plan for the post-COVID-19 ‘new normal’, we analyse the impact on and the responses by different actors of the Internet ecosystem across different jurisdictions. With a focus on the USA and Europe, we examine the responses of both public and private actors, with the latter including content and cloud providers, content delivery networks, and Internet service providers (ISPs). This chapter makes two contributions: first, we derive lessons learned for a future post-COVID-19 world to inform non-networking spheres and policy-making; second, the insights gained assist the networking community in better planning for the future.

The purpose of this paper is to reflect on the effects of online learning on student engagement as a result of a shift from face-to-face to online learning during the COVID-19 lockdown in New Zealand.

The reflection expresses the accounting lecturers’ observations and experiences of student engagement in online learning during the COVID-19 lockdown focussing on the three facets of student engagement; social presence, cognitive presence and teaching presence.

The focus on social and teaching presence in online learning by Unitec academic staff had a positive impact on cognitive presence as student course success rates and course ratings were similar to rates achieved from face-to-face delivery despite a rapid transition to online learning.

This reflection is based on the experiences of three academic staff in one tertiary organisation.

The findings of this study can be helpful for tertiary institutions that are planning to adopt blended learning in the future. Academic staff may revisit teaching pedagogies to design new strategies and institutions may develop blended learning guidelines and tools to support academics to embrace blended learning.

The reflection shows the respect, support and care provided by academics to students building a sense of belongingness and supporting students’ mental well-being in a period of fear and anxiety about COVID-19.

This is a reflection on students’ online engagement during the COVID-19 pandemic, which has not been addressed previously in the academic literature.

This chapter analyzes what happens to media use when everyday life is suddenly disrupted, focusing on how the COVID-19 pandemic transformed work, socializing, communication and everyday living. The empirical case is changing media use in Norway during the pandemic, building on a qualitative questionnaire survey conducted in early lockdown, and follow-up interviews eight months later. Expanding on the ideas of destabilization of media repertoires developed in the former chapter, this analysis discusses transforming media repertoires as more digital, as less mobile (but still smartphone-centric) and as essentially social. The chapter further explains new concepts for pandemic media use practices, such as doomscrolling and Zoom fatigue.

In response to coronavirus disease 2019, California State University Long Beach (CSULB) announced mandatory online course conversions on March 12, 2020. The College of Business designed a Student Online Learning Experience Survey to explore learners' experience, needs, expectations and challenges in the online learning environment.

The time-sensitive survey questions were administered using Qualtrics with Institutional Review Board approval. The authors used 5-point Likert scales to rate students' experience and satisfaction and performed statistical analysis. They assessed students' written comments to further corroborate statistical findings.

The results identify students' satisfaction are highly correlated to content coverage and interaction of online learning technologies. A combination of BeachBoard, Zoom, e-mails and publisher's website is valued most by the learners. Project-based experiential design is ranked #1 by graduate students. Noticeably, the upward trend of satisfaction with online modality from sophomore to senior is probably attributable to learners' maturity and number of years studied at CSU system. Overall, students generally dislike proctoring devices due to concerns of privacy, inequalities, mental stress, etc.

The evidence-based results offer innovative pedagogical recommendations for business education in higher education.

While prior studies examine student perceptions and satisfaction within the online education system, the study aims to deeply investigate the students' experience after a large-scale two-week institutional emergency course conversion mandate. This study systematically reviews students' experience with four aspects of online learning: (1) the adequacy of instructional designs; (2) the effectiveness of technology; (3) the appropriateness of the online learning material and (4) the integrity of online assessment and testing tools.

As educational institutes began to address the challenges posed by COVID-19, e-learning came to the foreground as the best bet left. This study is in quest of revealing engineering student's perceptions of the available e-learning platforms, thus surfacing the underlying bottlenecks. Further, it aims at providing solutions that would help enhance the e-learning experience not only in pandemic times but also in the long run.

This holistic research begins with a comprehensive comparative study about the available e-learning platforms, followed by a primary data analysis through an online survey of 364 engineering students from various colleges and branches. The collected data was analyzed to detect bottlenecks in online learning and suggestions are given for solving some challenges.

On a five-point Likert scale, the available e-learning platforms garnered ratings ranging from 2.81 to 3.46. Google meet was the most preferred platform. However, with a net promoter score (NPS) of 30.36, Microsoft Teams emerged as the most satisfying platform. Technical shortcomings clubbed with psychological and biological factors were found to be taking a toll on e-learning.

This innovative research is based on the perceptions of engineering students hailing majorly from Indian cities, and hence, it may be having educational stream bias and geographical bias. The research could be further extended to cover rural areas and global trends in e-learning.

The research offers a thorough analysis of e-learning platforms, as seen through the lens of engineering students. Furthermore, the analysis does not constrain itself to the technicalities and thus proves to be an all-encompassing one, potent enough to surface critical issues marring the e-learning experience.

This paper aims to assess whether the current eResearch Knowledge Centre’s (eRKC) research support practices align with researchers’ requirements for achieving their research objectives. The study’s objectives were to assess the current eRKC research support services and to determine which are adequate and which are not in supporting the Human Sciences Research Council (HSRC) researchers.

This study uses interviews as part of the qualitative approach. The researcher chose to use interviews, as some aspects warranted further explanation during the interview. The interviews were scheduled using Zoom’s scheduling assistant. The interviews were semi-structured, guided by a flexible interview procedure and supplemented by follow-up questions, probes and comments. The research life cycle questions guided the interviews. The data obtained were coded and transcribed using MS Excel. The interview data were analysed, using NVivo, according to the themes identified in the research questions and aligned with the theory behind the study. Pre-determined codes were created in line with the six stages of the research life cycle and applied to group the data and extract meaning from each category. Interviewee responses were assigned to groups in line with the stages of the research life cycle.

The current eRKC research support services are aligned with the needs of HSRC researchers and highlight services that could be expanded or promoted more effectively to HSRC researchers. It proposes a new service, data analysis, and suggests that the eRKC could play a more prominent role in research impact, research data management and fostering collaboration with HSRC research divisions.

This study is limited to assessing the eRKC’s support practices at the HSRC in Pretoria, South Africa. A more comprehensive study is needed for HSRC research services, capabilities and capacity.

Assessment of eRKC followed a comprehensive interviewee schedule that followed Raju and Schoombee’s research life cycle model.

Zoom’s scheduling assistant may have generated Zoom fatigue and reduced productivity. Technical issues, losing time, communication gaps and distant time zones may have affected face-to-face interaction.

eRKC research support practices are rare in South Africa and most parts of the world. This study bridges the gap between theory and practice in assessing eRKC research support practices.

This paper aims to explore the experience of one large Irish youth work organisation, Foróige, to measures introduced during the initial phase of COVID-19 in 2020. In the face of the unprecedented crisis including the closure of schools and curtailment of many youth services, this paper examines how the organisation responded and adapted its service offering.

Qualitative semi-structured interviews were conducted with 12 senior managers and youth officers in Foróige to explore their perspectives on the organisation’s response. Participants were purposively sampled from across the operational management functions and also from regional levels and youth workers engaging in work “on the ground”.

Shifting from a face-to -face, relationship-based to a distanced mode of engagement with young people, colleagues and volunteers required significant adaptation of Foróige’s service model. Innovation took place both in the delivery platform and fundamentally, in its service orientation. The accelerated move to online youth work brought about by the pandemic enabled the organisation to embrace and learn from the challenges and opportunities posed by digital technology. Responding to the immediate and tangible needs of young people in receipt of services, staff found themselves working with families at the more basic levels of intervention.

This paper provides new insights into the nature of non-profit service innovation during a time of unprecedented crisis management. It highlights characteristics of organisational agility that can assist organisations in managing crises, while also pointing the way towards a more flexible operating model for youth work service delivery.