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The blackboard learning system is an online platform designed for e-learning employed by higher education institutes like universities that facilities students to continue learning and educational activities. This study explores the determinants that affect students' acceptance and use of Blackboard learning system (BLS) in Pakistan utilizing the modified UTAUT framework with social isolation as an additional variable.

A questionnaire survey was conducted, and the study gathered 494 university students' responses in Pakistan as participants. The collected data were interpreted applying PLS-SEM version 3.2.3 software.

The study's findings exhibited that PE, EE, FC and SI are the prime determinants influencing the intention and use of BLS in Pakistani universities. Hedonic motivation and social isolation interact differently between UTAUT variables and use intention. The results verify the suitability of the applied theory in the background of the study.

However, the findings highlight the present understanding of BLS use from the learners' aspect, but the study's limitation cannot be evaded. The study respondents belonged to a specific region of Pakistan (Karachi) that might influence the usefulness of the outcomes. Other factors categorized as the environmental, system and organizational elements were not part of the study that may also differentiate the BLS acceptance. The model was extended by including the social isolation, but the effect is insignificant yet positive; therefore, it is required to evaluate the model differently, such as the organizational aspect, for future research. Moreover, the ethnic factors that vary in emerging and developed economies may provide different explanations; therefore, they can be incorporated in future studies. Likewise, the variables such as hedonic motivation need to be emphasized more by examining and evaluating its effect on students' education performance in the future.

The outcome of the study suggests some implications. At first, being the modified framework UTAUT2 application makes the collaboration appropriate according to the current phenomena of the COVID-19 pandemic and its contribution to the higher education region to analyze the acceptance of e-learning systems. Educational institutions within Pakistan would emphasize enhancing students' accomplishment by improving the interface and the blackboard learning system workability. Hence, learners' effectiveness in learning would be escalated; they would be encouraged to accomplish study objectives using BLS, particularly when they consider it easy to use and a useful platform for e-learning during the pandemic. Furthermore, enhancing the e-learning system in the context of the effort demands to be required to utilize BLS should be the foremost objective as learners would be motivated to accept the technology if they consider it simple, convenient, and user-friendly to adopt. Thus, the benefits of using BLS during this situation when universities are not operational will make students adaptable to change in the prospect. Learners will accept the model of online education, even if the universities become operational. However, it can increase the rate of earnings and revenue for universities as they can enroll in online and regular classes. Therefore, it is suggested that higher education management should create a resilient online platform by which facilitators can communicate with learners without any obstacles.

Hence, it is recommended to introduce the online short course, qualification, certified courses and integrated coursework with international ventures and ongoing classes. Numerous learners continue their studies along with the job. Therefore, it is suggested to introduce online programs for those learners. Another benefit would be that it offers an integrated platform for sharing knowledge. BLS offers to maintain the complete information in one place, and learners can see them as per their convenience based on their availability. This reduces the burden on administration related to keeping the educational material and resource in various files. Thus, it also reduces the expense of universities. It is suggested to emphasize encouraging the use of BLS through an effective plan that can assist in execution and help learners identify the technology features rather than to face difficultly to accept the change. Moreover, the acceptance of BLS for educational purposes verifies that other learning events can occur on the online platform. Thus, it is recommended to promote the origin of the online atmosphere and the initiation of other events. Globally, dynamics are changing frequently and continuously and are moving towards artificial intelligence systems; the circumstances are suitable for promoting online educational platforms' acceptance by incorporating it with the current educational arrangement.

The study provides recommendations for the research to be conducted to explore the modified framework in different regions and boundaries to evaluate the effect of other factors on adopting e-learning platforms.

The purpose of this paper is to assess nurse’s knowledge and practice regarding basic life support (BLS) skills while working with SARS-CoV-2 patients in Jordanian hospitals.

A cross-sectional survey was conducted among 386 nurses with direct contact with SARS-CoV-2 patients at Jordanian hospitals. A self-administered structured questionnaire was used based on the American Heart Association (AHA) guidelines.

A total of 386 participants were recruited. The mean years of experience were 7.89 (SD = 5.97). About three quarters of participants revealed they deal with SARS-CoV-2 patients directly (n = 284, 73.6%). The total mean score of nurse’s knowledge was 4.44 (SD = 1.22), while the total mean score of practice was 8.44 (SD = 2.05). Independent t-test was used, which revealed a statistically significant difference between educational level and total score of nurse’s knowledge [t(386) = 0.215 and p = 0.001] and between training to deal with SARS-CoV-2 during BLS and total score of practice [t(386) = 2.66 and p = 0.008]. Pearson correlation discloses a positive correlation between the total score of knowledge and practice (r = 0.343 and p = 0.001).

In general, nurses revealed a moderate level of knowledge and practice of BLS skills. However, assessing nurse’s knowledge and practice during the outbreak of SARS-CoV-2 plays a key role in identifying the gap in nurse’s knowledge and practice, and therefore, it will have an impact on providing high-quality BLS to save infected patients while providing maximum safety according to AHA guidelines.

This study is the first study that examined the level of knowledge and practice of BLS skills during SARS-CoV-2 pandemic in Jordan.

Procurement is a specific, yet dynamic area of work and study that is recognized as an occupation by the US Bureau of Labor Statistics (BLS). However, there is growing literature that substantiates differences in theory and practice, between procurement practitioners in the private and public sectors. The purpose of this paper is to validate the procurement occupational duties identified by the BLS with actual job activities performed and managed by public sector practitioners.

The paper is based on a survey of public sector practitioners to obtain information with regards to occupational duties and job activities in public procurement, as compared to a BLS proxy for procurement.

Public procurement practitioners complete the occupational duties identified by BLS, yet there is one occupational duty in public procurement that is absent from the BLS description for procurement.

Empirical data and analysis identifies the potential for public procurement to be considered its own occupation separate from private sector procurement, providing a foundation for development, management, and professionalization of the field.

The public procurement practitioners who completed the survey have a high degree of professional orientation based on certifications held and professional association membership, a foundation for generating applicatory results for studying the actual occupational duties in procurement. The specialized job activities performed and managed in perhaps the fastest growing occupation within public sector management are catalogued in this study.

The purpose of this paper is to enhance the robot’s ability to complete multi-step contact tasks in unknown or dynamic environments, as well as the generalization ability of the same task in different environments.

This paper proposes a framework that combines learning from demonstration (LfD), behavior tree (BT) and broad learning system (BLS). First, the original dynamic motion primitive is modified to have a better generalization ability for representing motion primitives. Then, a BT based on tasks is constructed, which will select appropriate motion primitives according to the environment state and robot ontology state, and then the BLS will generate specific parameters of the motion primitives based on the state. The weights of the BLS can also be optimized after each successful execution.

The authors carried out the tasks of cleaning the desktop and assembling the shaft hole on Baxter and Elite robots, respectively, and both tasks were successfully completed, which proved the effectiveness of the framework.

This paper proposes a framework that combines LfD, BT and BLS. To the best of the authors’ knowledge, no similar methods were found in other people’s work. Therefore, the authors believe that this work is original.

The development of a team of personal business advisers (PBAs) within Business Link Sandwell is considered. A practical stance is taken, looking at the issues which arose in interpreting national guidelines within a local situation. The background to the setting up of Business Links is reviewed, and in particular the placing of a personalized service at the centre of Business Link activities. The major change from the point of view of the Department of Trade and Industry (DTI) in setting up Business Links is that there will be a customer‐centred service with a single local response. This has meant that the many different local organizations (e.g. Training and Enterprise Councils, chambers of commerce) have had to form partnerships and often co‐locate services and staff. There has been a singular lack of independent research in this field. The recruitment of a team of PBAs based on the DTI model for PBAs and the published research available on the topic is described. An intensive three‐month team‐building and product and service familiarization programme was undertaken for the opening of Business Link Sandwell in April 1995.

This chapter explores how TESOL teacher educators used self-study to respond to educational policies for emergent bilingual learners (BLs) and their teachers. The purpose was to examine tensions, challenges, and opportunities in our efforts as teacher educators to prepare teachers to teach BLs in mainstream classes through a state-mandated sheltered English instruction (SEI) course. Data sources, including emails, course artifacts, meeting agendas, and journals, pre and post surveys and course assignments were analyzed using mixed methods. Practitioners and participants agreed one SEI course is insufficient. In a coherent approach to preparing mainstream teachers to teach language, learning would be reinforced from coursework to the classroom. Without self-studies that provide an informed response to external policies that shape teacher education, the danger is new policies result in no substantive change.

Wages have been spreading out across workers over time – or in other words, the 90th/50th wage ratio has risen over time. A key question is, has the productivity distribution also spread out across worker skill levels over time? Using our calculations of productivity by skill level for the United States, we show that the distributions of both wages and productivity have spread out over time, as the right tail lengthens for both. We add Organization for Economic Co-Operation and Development (OECD) countries, showing that the wage–productivity correlation exists, such that gains in aggregate productivity, or GDP per person, have resulted in higher wages for workers at the top and bottom of the wage distribution. However, across countries, those workers in the upper-income ranks have seen their wages rise the most over time. The most likely international factor explaining these wage increases is the skill-biased technological change of the digital revolution. The new artificial intelligence (AI) revolution that has just begun seems to be having similar skill-biased effects on wages. But this current AI, called “supervised learning,” is relatively similar to past technological change. The AI of the distant future will be “unsupervised learning,” and it could eventually have an effect on the jobs of the most highly skilled.

This paper aims to examine the relationship between the use of public debt and investment activity of European listed real estate companies.

Using a hand-collected sample of debt structures of 102 European public real estate companies, and using European Central Bank lending standards survey as a proxy for bank credit availability, the authors test a conditional hypothesis on the relationship between investment rates and the use of public debt during period of constrained bank lending environment in Europe.

The results show that ex ante diversification of debt allows retaining higher investment rates when the main source of debt, bank lending, is shrinking. The effect is statistically and economically significant and increases during times of tight bank lending constraints. The authors find no support to debt capacity explanation of the effect. They neither find support of the higher investment rates to be indicative of overinvestment problem. The results are robust to alternative model specifications and estimators.

The empirical analysis is limited to Europe.

Investments and the growth of real estate companies depend on their ability to seize value-increasing opportunities that arise in the competitive markets. This paper evaluates the role of a diversified debt structure in this context. The results suggest that debt structure can have material importance for the investment activity of European listed real estate companies and issuance of public debt can help companies to counterbalance the negative effects of restricted bank loan supply on the investment levels.

The paper extends the literature on debt structures of listed real estate firms by considering the effect of debt diversification on investments.

This chapter provides a historical overview of the data and methodologies used to measure worklife and the usefulness of such statistics for projecting future retirement behavior. Section 2 discusses the calculation of worklife expectancy (WLE), beginning with a review of the data and method of calculation using what has come to be known as the conventional model. Section 3 looks at the WLE results using the increment–decrement model and subsequent models. Sections 4 and 5 revisit the conventional model and compare the results of the conventional model to the increment-decrement model. Section 6 of the chapter discusses the data and methodologies used to calculate years to final separation (YFS), and Section 7 discusses the use of both WLE and YFS statistics in projecting future retirement behavior.