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The purpose of this paper is to survey the factors which facilitate effective teaching through massive open online courses (MOOCs).

A descriptive meta-analysis was conducted to first examine the literature covering the characteristics of teaching in MOOCs, the profile of participants, the instructional design of course materials and/or the course assessment methods – and then to summarise the factors which are conducive to the teaching effectiveness of MOOCs. A random sample of MOOCs was then reviewed to sort out the extent to which the factors can be identified in these courses.

The factors leading to effective teaching of MOOCs revolve around six areas according to the stages of course delivery, namely, preparation, attraction, participation, interaction, consolidation and post-course support. They address the application of technology to achieve educational purposes, while coping with the potentials and constraints of the MOOC environment. In practice, however, existing MOOCs show varying degrees of the implementation of the factors.

As this is an exploratory study summarising and categorising the factors, further work should be done, in particular on the proper adoption of these factors in teaching, their effectiveness and ways of assessing such effectiveness.

The factors identified will help institutions and academics who plan to offer MOOCs to be aware of how teaching can be best delivered to promote effective student learning.

This study examines whether learning climate relates to employability competences through social informal learning (i.e. feedback, help and information seeking).

Multiple regression analyses and structural equation modeling were used to test direct and indirect effects in a sample of 372 employees working in two Dutch governmental institutes.

The analyses confirmed that learning climate has an indirect effect on employability competences through feedback, help and information seeking. More specifically, the findings suggest that learning climate is important for employees' engagement in proactive social informal learning activities. Engaging in these learning activities, in turn, relates to a higher level of employability.

This study employs an integrative approach to understanding employability by including the organization's learning climate and employees' social informal learning behavior. It contributes to the extant literature on professional development by unraveling how proactive social informal learning relates to employability competences. It also provides new insights on learning climate as a determinant for social informal learning and employability.

With the progress of new technologies of information and communication, more and more producers of data exist. On the other hand, the web forms a huge support of all these kinds of data. Unfortunately, existing data is not proper due to the existence of the same information in different sources, as well as erroneous and incomplete data. The aim of data integration systems is to offer to a user a unique interface to query a number of sources. A key challenge of such systems is to deal with conflicting information from the same source or from different sources. We present, in this paper, the resolution of conflict at the instance level into two stages: references reconciliation and data fusion. The reference reconciliation methods seek to decide if two data descriptions are references to the same entity in reality. We define the principles of reconciliation method then we distinguish the methods of reference reconciliation, first on how to use the descriptions of references, then the way to acquire knowledge. We finish this section by discussing some current data reconciliation issues that are the subject of current research. Data fusion in turn, has the objective to merge duplicates into a single representation while resolving conflicts between the data. We define first the conflicts classification, the strategies for dealing with conflicts and the implementing conflict management strategies. We present then, the relational operators and data fusion techniques. Likewise, we finish this section by discussing some current data fusion issues that are the subject of current research.

This paper aims to investigate the extent to which three subgroups – people with mental health conditions, people belonging to sexual minority and gender groups and Indigenous peoples – have been “left behind” by countries implementing the World Health Organization’s Framework Convention on Tobacco Control.

A general review of electronic bibliographical databases to provide an overview of smoking prevalence among the three groups and interventions designed specifically to reduce their smoking rates.

Although explanations and specific rates differ, two trends are consistent across all three groups. First, information reported in the past two decades suggests that smoking prevalence is disproportionately high among people with mental health conditions, and in the rainbow and indigenous communities. Second, most cessation programmes are targeted at majority politically dominant groups, missing opportunities to reduce smoking rates in these minority communities.

There is a general dearth of data preventing detailed analysis. Better data collection efforts are required. Trials to identify effective smoking reduction interventions for marginalised groups are needed.

It is socially unjust that these groups are being systematically ignored by tobacco control initiatives. A failure to equitably reduce tobacco harms among all groups across society has contributed to the perceived concentration of smoking in some subgroups. The increasing stigmatisation of people who smoke then adds a marginality, compounding the negative effects associated with belonging to a marginalised group. Ongoing marginalisation of these groups is an important determinant of smoking.

Cross-case analysis of neglected subgroups with disproportionately high smoking rates suggests social marginalisation is a shared and important determinant of smoking prevalence.

The unprecedented SARS-CoV-2 (COVID-19) pandemic has further constrained the budgets of governments worldwide for delivering their much-needed infrastructure. Consequently, public-private partnerships (PPPs), with the private sector's investment and ingenuity, would appear to be an increasingly popular alternative. Value for money (VfM) has become the major criterion for evaluating PPPs against the traditional public sector procurement and, however, is plagued with controversy. Hence, it is important that governments compare and contrast their practice with similar and disparate bodies to engender best practice. This paper, therefore, aims to understand governments' assessment context and provide a cross-continental comparison of their VfM assessment.

Faced with different domestic contexts (e.g. aging infrastructure, population growth, and competing demands on finance), governments tend to place different emphases when undertaking the VfM assessment. In line with the theory of boundary spanning, a cross-continental comparison is conducted between three of the most noticeable PPP markets (i.e. the United Kingdom, Australia and China) about their VfM assessment. The institutional level is interpreted by a social, economic and political framework, and the methodological level is elucidated through a qualitative and quantitative VfM assessment.

There are individual institutional characteristics that have shaped the way each country assesses VfM. For the methodological level, we identify that: (1) these global markets use a public sector comparator as the benchmark in VfM assessment; (2) ambiguous qualitative assessment is conducted only against PPPs to strengthen their policy development; (3) Australia's priority is in service provision whereas that of the UK and China is project finance and production; and (4) all markets are seeking an amelioration of existing controversial VfM assessments so that purported VfM relates to project lifecycles. As such, an option framework is proposed to make headway towards a sensible selection of infrastructure procurement approaches in the post COVID-19 era.

This study addresses a current void of enhancing the decision-making process for using PPPs within today's changing environment and then opens up an avenue for future empirical research to examine the option framework and ensuing VfM decisions. Practically, it presents a holistic VfM landscape for public sector procurers that aim to engage with PPPs for their infrastructure interventions.