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Organizations in many domains generate a considerable amount of heterogeneous data every day. Such data can be processed to enhance these organizations’ decisions in real time. However, storing and processing large and varied datasets (known as big data) is challenging to do in real time. In machine learning, streaming feature selection has always been considered a superior technique for selecting the relevant subset features from highly dimensional data and thus reducing learning complexity. In the relevant literature, streaming feature selection refers to the features that arrive consecutively over time; despite a lack of exact figure on the number of features, numbers of instances are well-established. Many scholars in the field have proposed streaming-feature-selection algorithms in attempts to find the proper solution to this problem. This paper presents an exhaustive and methodological introduction of these techniques. This study provides a review of the traditional feature-selection algorithms and then scrutinizes the current algorithms that use streaming feature selection to determine their strengths and weaknesses. The survey also sheds light on the ongoing challenges in big-data research.

The purpose of this two-part research was to investigate the effect of remote learning on student progress in elementary education. Part one, presented in this paper, examined achievement differences between learners in a fully remote learning environment and those in a hybrid setting.

A quantitative, quasi-experimental study with factorial design was used to investigate group differences in student achievement between the different learning environments. Ex-post-facto data from standardized test scores were utilized to examine in which ways the learning environment may have affected learner progress in two distinct subject areas crucial to elementary education: English language (ELA) and math.

Findings revealed a significant difference between the two learning environments in both subject areas. While preexisting group differences, selection biases and testing inconsistencies could be effectively ruled out as potential causes for the observed differences, other factors such as developmental and environmental differences between the learning environments seemed to be influential. Therefore, the follow-on research aimed at further investigating and confirming the influence of such factors and will be presented in a Part 2 paper.

Knowledge of the observed differences in learning achievements between the different environments, as well as the factors likely causing them, may aid educators and school administrators in their decision processes when faced with difficult circumstances such as during the pandemic.

When the SARS-CoV-2 virus started to rapidly spread around the globe, educators across the world were looking for alternatives to classroom instruction. Remote learning became an essential tool. However, in contrast to e-learning in postsecondary education, for which an abundance of research has been conducted, relatively little is known about the efficacy of such approaches in elementary education. Lacking this type of information, it seems that educators and administrators are facing difficult decisions when trying to align the often conflicting demands of public health, local politics and parent pressure with what may be best for student learning.

In studies related to education, sociology and economics, the relationship between students’ social relationships and their academic performance is one of the most important research topics; a large number of research studies have focused on it. This study aims to analyze the previous studies about social interaction and academic performance and attempts to reveal the underlying mechanism.

This study uses CiteSpace to analyze 1,843 articles on social relationships and academic performance from 2001 to 2019. According to the co-cited literature network results in CiteSpace, this study proposes an adapted conceptual framework of the relationship between social relationships and academic performance. This paper further examines more studies about the two most-cited articles in the co-cited literature network for better understanding.

From the results of the co-cited literature network, this study determines that school engagement is an important mediator between social relationships and academic performance. This paper further examines studies on school engagement and determine that, along with the self-determination theory, school engagement is influenced by multiple components of self-determination theory: autonomy, competence and relatedness.

According to the visual result in CiteSpace, this study examines a research trend in which researchers scholars start to conduct micro and detailed empirical research on the impact of the specific social networks on academic performance because of the progress of information technology. Therefore, based on the previous literature that we have analyzed, this study predicts that the trend of using information technology, such as data mining or data analysis, in this academic field will become a mainstream practice in the future.

Open and distance e-learning (ODeL) practices have substantial contributions to make in achieving societal development goals. The challenge however remains with enhancing skilling, training and educating professionals who will contribute to this progress. The purpose of this paper is to illustrate how transformative education and training in global health can be undertaken through ODeL in increasing the quality, quantity and relevance of health professional education and training.

This paper is based on a descriptive qualitative case study of the International Health and Development Course offered by the University of the Philippines Open University and is thus limited in its scope from other courses in the program.

Transformative education and training through ODeL has the potential of increasing the quality, quantity and relevance of health professionals training. However more critical assessment of transformative learning outcomes is needed via rigorous methods of objectifying such outcomes. Achieving transformative health education and training requires rigorous engagement in constructivist-oriented experiential learning that allow learners to be accustomed to significant interactions achieved by involvement in problem-based methods accomplished through small group e-tivities in order to demonstrate applicability in the real work context.

The outcome of this paper is relevant to institutions in Asia that offer ODeL-based global health programs through open knowledge systems in order to produce graduates who are more responsive to the evolving health needs amid twenty-first century global health challenges.

As nowadays the knowledge economy puts a strong emphasis on the universities’ role in the present economy, the recent challenge focuses on the interrelations between entrepreneurship culture and academic engagement. This study aims to investigate the new role that universities are assuming as entrepreneurial entities and gather information taking place internal university stakeholders and students’ perception on entrepreneurship education. The research hypothesis stands entrepreneurship is mainly supposed as being professionally and educationally active rather than setting up a company.

The present study carries out a study on the perception of entrepreneurship education conducted among students of the University of Economics in Krakow in the winter semester of the academic year 2017/2018. The selected target group meets the criteria of the different national country origin of the respondents. Another criterion for selecting the target group was diversity in the field of students’ academic interests.

The results of the study give a clear view of the still valid confirmation of the growing academic role in terms of entrepreneurship culture development that appears necessary to address the demand for global competitiveness. In particular, it is possible to categorize two groups of people, moderate and strong supporters of recognition that entrepreneurship is not only about starting a company but also at the same time that it is an expression of its own dynamic and entrepreneurial attitudes.

As the importance of entrepreneurship in the context of an entrepreneurial university is rising and the definition of entrepreneurship goes beyond its understanding of starting a business, universities and academic engagement can and have to better address and focus their planning of the courses and their contents.

The study sheds some light and gives some interesting perspectives on the issue of different levels of entrepreneurship education expectations against different levels at which this education should be provided. In addition, it is in line with the EU entrepreneurship competence framework (EntreComp) aimed at defining tools to improve the entrepreneurial capacity and culture of EU citizens and organizations by means of consensus among stakeholders and by establishing a bond between education and study.

This study aims to investigate how two collaborative methods – selection and synthesis – influence knowledge convergence when people articulate a new strategic direction driving transformation within the organization.

The study is based on a longitudinal field experiment developed in four organizations involving 82 employees over a three-month process. Inspired by dynamics governing flocks as complex adaptive systems, selection and synthesis have been separately used in two sets of companies. Primary and secondary data have been largely collected and analyzed throughout the whole process.

This study describes how the two alternative methods differently influenced two kinds of knowledge convergence. While selection triggers a general and static knowledge convergence and the propagation of individual knowledge over time, synthesis fosters a local and dynamic knowledge convergence where individuals tend to propagate knowledge generated collectively.

This research offers insights into understanding the influence of alternative collaborative methods on the creation and propagation of knowledge when people are converging toward a new strategic direction. From a theoretical perspective, it contributes to complex adaptive system theory, highlighting the role of knowledge convergence and emergence through collaboration.

This research offers insights to managers who deal with the complexity of the engagement of different stakeholders during collaborative processes, offering some actionable takeaways to foster knowledge convergence by alternatively employing selection and synthesis.

This paper contributes to the management and social information processing literature emphasizing the role of knowledge convergence emerging from the complex interactions among multiple stakeholders.

Early contractor involvement (ECI) faces many barriers because it differs from traditional business practices. Public owners, especially, face a major challenge because they must comply with international and national legislation. The purpose of this paper is to develop a framework that illustrates the various approaches that public project owners can take to implement ECI.

In addition to a literature review, three groups of case studies were carried out. The case studies were based on 54 semi-structured in-depth interviews with key personnel from 21 Norwegian public projects and document study.

In all, 25 approaches to ECI were identified during the research. Twelve of these were used in the cases studied.

There are several approaches to ECI that are suitable for public owners. However, the contractor’s contribution depends on which approach is implemented and how it is implemented.

As original contribution, this study presents a novel framework that defines options for implementing ECI in public projects. Furthermore, this paper provides insights on how ECI can be implemented in public projects based on Norwegian experiences. Although the empirical data of the study is limited to Norwegian public projects, this study contributes to knowledge about how to implement ECI internationally.

The term competitive has always been used as a comparison to provide a distinction between two or more things. Southeast Asia handles billions of tonnes of global seaborne trade annually. Thus, there is a necessity to look in detail at the performance indicators of port competitiveness on the basis of port performance.

This study has categorized 18 Malaysian bulk terminals into two different classes based on various performance indicators. The distinctions used a hierarchical cluster analysis by arranging the performance indicators. The technique is among the most popular techniques used to form homogeneous groups of entities or objects.

In this study, it was found that two classes were classified as being competitive from the homogeneous groups created. Based on the performance metrics chosen, Group 1 had the lowest score and Group 2 had the highest score. It was found that the Westport and Northport of Klang Port had the best performance of all.

A major challenge for the study is the lack of variables relevant to other port competitiveness requirements, and a detailed research study is needed to gather information on the satisfaction of terminal customers, the paperwork involved, the accuracy and consistency of tariffs paid, the level of safety at sea and on land and environmental protection around the facility site.

The study on ports has been given less attention among researchers in this particular area. Therefore, this paper focuses on the port terminals in Malaysia and compares port performance metrics between ports to determine their competitiveness.