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Due to the Coronavirus 2019 (COVID-19) pandemic, education has been disrupted right from kindergarten to University. Globally, states are advocating for online learning. The COVID-19 pandemic had led to the closure of universities and it was not clear how long this would last. e-Learning was crucial. Lecturers were asked to complete their syllabuses and continue to teach and administer tests remotely. So far, there is a dearth of information on how Kenya’s higher education responded to the pandemic through online learning. This qualitative study utilized online platforms (zoom and Skype) for interviews. This study employed a constructivist approach to explore the faculty officials’ perception of online learning in Kenya’s institutions of higher education. Approximately 45 faculty officials from public universities were involved in this study. The study was carried out in three public universities in Western Kenya. The participants argued that online education was beneficial and primarily promoted online research and enabled them to connect with other practitioners in the global community. There were challenges associated with online learning for instance unreliable internet. This study’s results are hoped to inform the ministry of education and higher learning policies on making online effective and efficient to both the students and the lecturers. This will also be a fairer spring-ball for Kenya toward the realization of Vision 2030.

This study aims to explore the potential benefits favoring the adaptation of structural optimization techniques in the additive manufacturing (AM) of medical utilities to meet the repetitive demand for functionally precise customized orthoses. Irregularities encountered during the conventional treatment of tendon injuries can be eschewed using advanced structural simulation in design and innovative splint fabrication using 3D printing.

A customized mallet finger splint designed from 3D scans was subjected to ANSYS topological simulation comprising multi-level weight reduction to retain optimal mass (100%, 90%, 80%, 70% and 60%). A batch of the four typical 3D printing materials was chosen to conduct a comparative mechanical and thermal stress analysis, facilitating the selection of the optimal one for fabricating functionally adaptive splints. Assurance of structural safety was accomplished through the experimental validation of simulation results against the testing data set of ASTM D695 and ASTM D638 Type-1 specimens over a universal testing machine (UTM). Fused deposition modeling (FDM) 3D printing processed the optimized splint fabrication to assist evaluation of weight reduction percentage, fitting aesthetics, appearance, comfort, practicality and ventilation ease at the user end.

AM efficacy can efficiently execute the design complexity involved in the topology optimization (TO) results and introduces rehabilitation practicality into the application. Topologically optimized splint provided with favorable comfort, stiffness and strengthening features, offers ventilation ease and structural stability for customized appliances, with 30.52% lighter weight and 121.37% faster heat dissipation than unoptimized one.

The state of art multidisciplinary optimization featured with structural and material optimization attributes can deliberately meet medical necessity for performance-oriented orthotic devices.

Higher educational institutes (HEIs) are experiencing a significant shift towards online education, which has been fast-forwarded with the global pandemic of COVID-19. The forced shift has also exposed many vulnerabilities in online education, especially assessments. The purpose of this study is to investigate the potential dark side of the digital transformation of examinations through the lens of university students.

This study involves a sample of 127 university students from the fields of business and science, technology, education and management (STEM) and the key factors affecting student perception were assessed quantitatively to explore the interrelationships.

Results revealed that both business and STEM students have a similar impression of the use of online examinations, and the majority still have mixed feelings about them as a replacement for physical examinations. The regrouping of the factors revealed two key dimensions, trustworthiness and apprehensible education, as key areas of student perception in the context of online examinations.

This study aims to strengthen the understanding of Kolb’s experiential learning mechanism through a discussion on the importance of abstract conceptualization as opposed to concrete experience in the establishment of the online assessment and learning space. Practically speaking, increasing investment in internet infrastructure and forming strategic alliances with important parties, like internet providers, to create uninterrupted network coverage, are an effective place to start if one wants to make sure that the process of moving to online learning is becoming more and more accepted by educators, students, and the general public.

The online transition to higher education has seen expedited growth since the pandemic and has not given much room for many HEIs globally to adjust. The procedures and techniques implemented take a Western lens, and less attention is given to the emerging context and its context-specific characteristics in such implementation. This study takes the theoretical lens of Kolb and proposes the key learnings for a successful online transition to assessment in emerging contexts.

When reporting wrongdoing internally, whistleblowers are confronted with the dilemma of weighing up their loyalty toward the organization (e.g., ethical standards) and their co-workers (e.g., the social norm of not snitching on peers). However, the role played by peers in the whistleblowing decision process and in the aftermath has rarely been addressed in existing reviews. We therefore perform a systematic review that identifies seven thematic clusters of peer factors, offering researchers an informative overview of (a) the peer factors that have been examined to influence the whistleblowing decision, and (b) the extent to which the whistleblower experiences adverse consequences from peers in the aftermath of whistleblowing. As peer factors seem to be important to explain and predict internal whistleblowing, researchers are encouraged to address in future works the research gaps our review unraveled.

Prior learning and prior knowledge are among the most dependable and consistent factors in predicting students’ success (Richardson et al., 2012). Although for UK Higher Education, the traditional A-level (advanced level qualification) remains the principal qualification students use to gain entry to University, there has been a small but significant rise in alternative qualifications, such as the International Baccalaureate (IB) and vocational qualifications such as that from the Business and Technology Education Council (BTEC). The multidisciplinary nature of Psychology means students enter the degree program with a range of qualifications in differing topic areas. The current case study aimed to assess if science qualifications aided student success in the University of Liverpool’s Psychology course. Ordinal regression and correlations were used to examine the impact of prior qualifications on three first-year cohort module scores (Psychobiology, Social psychology, and Research Methods) and the overall degree mark across three cohorts of Psychology students (n = 1,072). University entry grades showed a significant overall and subject specific effect of scientific prior knowledge. However, the effects of previous qualifications were not cumulative and did not persist beyond the first year of study. These findings were strongest for Chemistry in the Psychobiology module suggesting that scientific literacy – the understanding of scientific concepts, phenomena, and processes, as well as an individual’s ability to apply such knowledge to new or non-scientific situations (Schleicher, 2019) – rather than domain-specific knowledge is driving such increase in grades. A negative relationship was seen for those holding BTEC qualifications, suggesting that vocational qualifications, specifically for this Psychology program, were of less use than academic ones, even if topic areas were similar – a finding which may also apply to other academic based courses, and warrants further study. Although the advantage of prior qualifications diminishes across the course of study, this small but distinct advantage suggests that making a science qualification a requirement for a place on a Psychology degree course would be a beneficial step for admissions tutors to consider.

The objective of this chapter is to discuss how different techniques in Regional Science and Peace Science and the emerging techniques in Management Science can be used in analysing Disaster Management and Global pandemic with special reference to developing countries. It is necessary for me to first discuss the subjects of Disaster Management, Regional Science, Peace Science and Management Science. The objective of this chapter is to emphasise that the studies of Disaster Management should be more integrated with socioeconomic and geographical factors. The greatest disaster facing the world is the possibility of war, particularly nuclear war, and the preparation of the means of destruction through military spending.

The aim of this article states that in each stage of the industrial revolution, only a few initiatives have been real game changers. In Industry 3.0, “Internet of Information” has transformed the business landscape via connectivity and communications. Enterprises could come together to spur innovation in a cooperative or competitive manner. In Industry 4.0, the “Internet of Value” has shown considerable benefits; and, blockchain technology is expected to touch all layers of a business ecosystem, and the construction industry is not an exception.

This study aims to answer the “How do enterprise blockchain solutions contribute to the vibrancy of the construction ecosystem from social, economic, and environmental aspects?” Following a comprehensive literature review, the Grey Ordinal Priority Approach (OPA-G) is employed in multiple criteria decision analysis (MCDA). OPA-G can select functionally rich enterprise blockchain solutions that meet the needs of the future construction industry, while there is uncertainty in the input data.

The results from the case study show that organization under observation welcomes an enterprise blockchain solution that delivers services related to “renewable energy certificates” in the context of “smart cities and built environment”. Employing high-ranked blockchain solutions brings vibracy and sustainability to construction ecosystem in terms of “C₆. decentralized finance and investment,” “C₃. multi-party and cross-industry collaboration,” and “C₈. data-driven value creation”.

At the micro level, blockchain solutions automate processes, streamline operations, and build new capacities on a new business model. At the macro level, blockchain creates a vibrant ecosystem based on transparency, decentralization, consensus-based democracy, interoperability, etc. Indeed, the capability of blockchain solutions at an enterprise scale (enterprise blockchain solutions) can shape a new construction ecosystem. The practical implications of current research are preparing executives for a fundamentally different next normal in construction.

The purpose of this paper is to compare the effectiveness of the various text mining techniques that can be used to classify maintenance work-order records into their respective failure modes, focussing on the choice of algorithm and preprocessing transforms. Three algorithms are evaluated, namely Bernoulli Naïve Bayes, multinomial Naïve Bayes and support vector machines.

The paper has both a theoretical and experimental component. In the literature review, the various algorithms and preprocessing techniques used in text classification is considered from three perspectives: the domain-specific maintenance literature, the broader short-form literature and the general text classification literature. The experimental component consists of a 5 × 2 nested cross-validation with an inner optimisation loop performed using a randomised search procedure.

From the literature review, the aspects most affected by short document length are identified as the feature representation scheme, higher-order n-grams, document length normalisation, stemming, stop-word removal and algorithm selection. However, from the experimental analysis, the selection of preprocessing transforms seemed more dependent on the particular algorithm than on short document length. Multinomial Naïve Bayes performs marginally better than the other algorithms, but overall, the performances of the optimised models are comparable.

This work highlights the importance of model optimisation, including the selection of preprocessing transforms. Not only did the optimisation improve the performance of all the algorithms substantially, but it also affects model comparisons, with multinomial Naïve Bayes going from the worst to the best performing algorithm.