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The supply, recruitment, and retention of teachers.
Challenges to the supply of well-prepared and effective teachers persist across diverse education systems. This chapter considers the sociopolitical and technical complexity of reconciling demand and supply in the recruitment and retention of teachers. Within finite expenditure, workforce planning must balance need across school phases, subjects, and localities, taking into account teacher mobility and turnover, changing demographics, curriculum policy, and future learning needs. As a result, it is not uncommon for teacher shortages, underrepresentation, and oversupply to coexist. This chapter outlines the impact of patterns of differential attrition on teaching quality and educational equity, and considers alternative policy strategies to secure and diversify the teacher workforce
Improving learning effectiveness by leveraging spaced-repetition (SR)
The academic efficiency and knowledge retention of students can be improved by practicing active recall testing and implementing spaced repetition techniques. The process of trying to recall information previously learned with the aim of increasing the chance of committing the information to long-term memory is called active recall. Spaced repetition is a technique which can help students to memorize and learn information by outspreading reviews of the topics over larger range of time revising the same topic multiple times in a single session.
A qualitative method has been followed in this paper which takes a grounded theory approach while evaluating literature on different memory models, memory creation and retrieval processes. Based on the literature review, an algorithm has been proposed with the aim of improving learning effectiveness by leveraging spaced repetition techniques
Secure web gateway on website in cloud
Developing interest for transfer work from home associations needs to permit numbers of specialists to get to confidential
organizations on the business' nearby web. This leads to greater
expenses to authorize the homeworker admittance to the association's assets secretly and safely through assigned gadgets and administration. The primary purpose of additionally supports the association execution with various administrations for telecommuters.
SASE utilizes Zero Trust Engineering as its spine, without confiding in any gadget or client, yet validate and approve at each solicitation. The main purpose to apply designated spot capabilities
such as Secure Web Passage and Cloud Access Security Representative to additionally uphold the security of the association's
resources that may not be trusted in the cloud. Toward this paper's
end, we will comprehend how those strategies referenced for doing the work on secure systems for work with associations' system
associations and security. We conduct a systematic literature review of security challenges of cloud computing. In addition to security issues, the benefits of cloud computing security were also
studied. Whenever a website is hacked by an attacker, businesses
and organizations lose their valuable data. Thus, we choose the
best platform to organize and secure the data online in a valuable
way. The main point of attack in the website is the use of weak
passwords and sharing authentication to other users
Emerging change: exploring the new economy paradigm
This paper examines and ascertains the dominant and latent characteristics of the new economy post COVID-19. It acknowledges the far-reaching repercussions and long-term societal and economic impacts caused by COVID-19. The study administered online questionnaires to professionals globally and conducted online semi-structured interviews of economists, entrepreneurs, and organizational leaders across ten countries. The study tested the hypothesis with the non-parametric Chi-square test. The interview transcripts were subjected to thematic and content analysis. The research findings have indicated the emerging changes in the economy and way of life leading to a new normal. Projections have been reported to increase digitalization and implementation in business, deglobalization, geopolitical developments, fluctuations in macroeconomic variables, and climate change. The study further revealed that hybrid work strategies would be embraced, requiring the labor market to upskill and reskill to stay competitive. Digitalization of businesses will become essential to gain a competitive advantage in domestic and international markets. The paper predicts the anticipation of changes in human behavior regarding health, personal care, and consumption patterns. The study noted the variations in the new economic trends, possibilities, challenges, and coping strategies to survive and thrive in the new economic paradigm. Therefore, these research findings provide valuable and insightful economic releases which will have profound implications in the post COVID-19 world
The impact of continuing bonds between pet owners and their pets following the death of their pet: a systematic narrative synthesis
When a pet dies, owners can experience similar levels of grief as when a human dies. Previous research indicates the role of continuing bonds (CB) when a pet is alive. To understand the impact of these bonds after the pet has died, we conducted a systematic narrative synthesis according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines (PRISMA). Findings were heterogenous, yet there were still parallels in the literature. CB can sometimes aggravate and intensify grief experiences, particularly when pet grief is perceived as disenfranchised grief. However, identifying appropriate bonds can be useful to moderate the intensity of grief and be a valuable mechanism of support. CB can also help post-traumatic growth of owners
PSEM: An Audit Tool for Higher Education
The aim of this guidance paper is to present the proposed social enterprise audit tool. The idea of the social enterprise audit tool is to set out what should be covered when designing a social enterprise curriculum for an interdisciplinary social science subject area. The work that is presented here is formulated from a funded Quality Assurance Agency for Higher Education (QAA) project undertaken by the authors
Skills development in innovation and entrepreneurship
Report commissioned by the British Council
The future of enterprise and entrepreneurship education in relation to technology
Home Technology and Entrepreneurship Education Chapter
The Future of Enterprise and Entrepreneurship Education in Relation to Technology
Denis Hyams-Ssekasi & Naveed Yasin
Chapter
First Online: 18 March 2022
270 Accesses
Abstract
This concluding chapter focuses on the future of teaching and learning in enterprise and entrepreneurship education in relation to the adoption of technology. Based on the previous chapters in this dedicated text, it is evident that the adoption of technology will play an important role in the development of teaching and learning pedagogies in this discipline. Building on the key learning outcomes and points that have been discussed, a consensus centring on six points on enterprise and entrepreneurship education have been presented. This ranges from the importance of entrepreneurship education in the development of economic prosperity, enhancing individual learner’s knowledge of enterprise and business start-up, cultivating unique skills for creative thought, recognizing and acting upon commercial opportunities, and developing learner’s confidence to deal with uncertain futures. The evidence suggests that there will be a significant shift towards gamification and simulations, embedding digital technology for quiz activities, reflective practices, measuring the effectiveness of learning programmes, collaborative and interdisciplinary approaches, and the pertinence of knowledge co-creation. This chapter emphasizes the importance of pedagogy that is underpinned by technology adoption, creative approaches to teaching and learning, student-centred learning, flipped classroom approaches, engagement with entrepreneurs, and the focus on tangible outcomes of enterprise and entrepreneurship education provisions
Interdisciplinary communication: paving the way for gamification in entrepreneurship education – a case study from a medium-sized UK university
This chapter presents a collaborative autoethnography study whereby two academics at a medium-sized UK university explore their experiences of teaching entrepreneurship in different business and law school departments to combine expertise and resources to develop interdisciplinary gamification solutions. The combined experiential reflections have contributed to the generation of ideas that will prompt future interdisciplinary content to be created to bridge together fields such as business, social, legal, and technical studies. The chapter concludes that critical factors limiting developments in interdisciplinary entrepreneurship games include a lack of focus on entrepreneurial skills in departments within HEIs other than business schools and a lack of cross-departmental communication and collaboration. Although all the required expertise and resources are present within the university, a genuinely holistic approach can only be developed if innovative teaching tools combine multidisciplinary content from all faculties
A novel deep learning model for detection of severity level of the disease in citrus fruits
Citrus fruit diseases have an egregious impact on both the quality and quantity of the citrus
fruit production and market. Automatic detection of severity is essential for quality productions of
fruits. In current work, citrus fruits dataset is preprocessed by rescaling and establishing bounding
boxes with labeled image software. Then Selective search, which combines the capabilities of both
an extensive search and graph based segmentation, is applied. The proposed DNN (deep neural
network) model is trained to detect targeted area of the disease with its severity level using citrus
fruits that have been labeled by taking help of a domain expert with four severity level(high, medium
,low and healthy) as ground truth. Transfer learning using VGGNet is applied to implement multi-
classification framework for each class of severity. The model predicts the low severity level with 99%
accuracy, and the high severity level with 98% accuracy. Model produces 96% accuracy in detecting 1
healthy conditions and 97% accuracy in detecting medium severity levels. The result of the work 1
shows that the proposed approach is valid, and it is efficient for detecting citrus fruit disease at four 1
levels of severity