bluuebunny/crossref_metadata_2025 huggingface dataset:
Measuring Sustainable Competitiveness in Contemporary Economies—Insights from European Economy
Authors: Popescu Gheorghe , Sima Violeta , Nica Elvira , Gheorghe Ileana
Published: July 2017

The recent transformation of the national economies has raised numerous theoretical and practical aspects in measuring economic growth, welfare, environmental performance, and competitiveness, representing a challenging research topic within the context of economic paradigm transformation. Despite its importance, a fully operational model to be used in any context has not yet been designed. The main aim of this paper is to evaluate and analyze the macroeconomic dimension of the three determinants of sustainable competitiveness: the economic environment, the social environment, and the natural environment, at both the European and Romanian levels. This paper used the Hierarchical Clustering methodology, aiming at evaluating the global competitiveness in terms of a sustainable development model, using four indices: Human Development Index, Environmental Performance Index, Global Competitiveness Index, and GDP per capita. The clusters were designed on the basis of the role of the indices in assessment of the sustainable performances of the countries and also of the possible convergences between them. The results could sustain the conclusion that these indices are not able to offer an exhaustive image of the sustainable performances assessment. A new complex indicator could be considered in order to design a convergence model for the EU member states.
Les titres environnementaux
Authors: Trébulle François-Guy
Published: July 2017

Le présent article entend contribuer à l’analyse d’un phénomène contemporain très vif qui traduit le mouvement général de recours aux marchés dans le cadre des politiques de protection de l’environnement. Si ce phénomène a été rendu visible avec l’essor des quotas d’émission de gaz à effet de serre, il est en train de s’ouvrir à d’autres réalités environnementales telles que la biodiversité. L’analyse juridique est nécessaire pour discerner quels sont les caractères de ces titres d’un genre inédit et mesurer dans quelle mesure il s’agit d’un ensemble homogène. Par delà les similitudes, il suggère qu’il convient de distinguer des titres quantitatifs, de type quotas, et des titres de conservation. Si les premiers permettent une appréhension par le marché, il n’en va pas nécessairement de même des seconds qui supposent un lien renforcé avec la réalité environnementale sous-jacente.
Multimedia Teaching Platform Design for Urban Planning Course Based on Information Entropy
Authors: Jing Xiaopeng
Published: July 2017

The information entropy theory involves such important concepts as the amount of information and information entropy, and it is widely applied in educational field. At present, teaching contents of Urban Planning are dull, and teaching methods and means are single. For such characteristics, information entropy theory and MP5 technology were introduced in multimedia teaching platform design. The new teaching platform was designed from 4 aspects: video module, audio module, network module and electronic module. Since information entropy theory can make information quantified, the teaching contents can be visualized, and teaching interestingness can improve. Meanwhile, because MP5 has such characteristics as diversified technological functions and use convenience, it can enhance multimedia teaching effect. The new teaching platform can let the teaching contents more vivid and visual, motivate students’ learning initiative and promote teaching quality.
Construction of Interactive Teaching System for Exercise Training Based on Education Video Resource Push Technology
Authors: Zhang Lizheng , Wang Fatao , Qi Aili
Published: July 2017

Due to imbalanced PE teaching resources and single mode, PE teaching development lags behind. With the help of multimedia technology, an interactive system based on resource push was constructed in this paper to assist PE teaching. The whole system aims to make up for the defects of traditional PE teaching mode. On the one hand, it studies resource push technology, takes individual needs as the core and carries out learning resource allocation and individualized push for different students. On the other hand, it achieves interactive PE teaching system based on streaming media, supports the exchange and study between teachers and students, and breaks through the defect of time and place limits in traditional teaching. In this paper, the course of Skiing and Mountaineering Exercise was chosen as the test content to check the effect of this teaching system. The results show that interactive teaching based on video resource push technology can motivate students’ learning initiative and interest and greatly improve the learning effect.
Teaching Mode of Mechanical Design Course based on Simulation Analysis Technology
Authors: Li Xueyi , Wei Junying , Ding Shuhui , Wang Quanwei
Published: July 2017

Mechanical design course covers various contents, and most of them are complex theoretical knowledge. However, current teaching modes in China mainly combine textbook with PPT (PowerPoint) created in advance. This monotonous mode cause students to lose interests in their curriculum, and knowledge becomes difficult to gain. To improve teaching effectiveness, we propose a novel teaching mode by applying simulation technology to a particular mechanical design course. Using the chapter of gear transmission as an example, we also introduce a specific approach. Comparing traditional modes with the proposed mode, we demonstrate that combining simulation analysis technology with the content of mechanical design course can enrich the teaching process and improve students’ learning interests. The proposed approach can also help students analyze and solve problems with relevant knowledge and enhance their practical abilities. Thus, these students can satisfy the requirements of modern society for mechanical engineering graduates.
Investigation and Analysis of College Students' Cognition in Science and Technology Competitions
Authors: Yue Hongwei , Cai Ken , Yu Yibin , He Yihong , Jin Yingying
Published: July 2017

Science and technology competitions are an important platform to verify the use and improve the mastery of professional knowledge of college students. These competitions are also important in enhancing the comprehensive quality and ability of these students. To highlight the role of science and technology competitions in cultivating the comprehensive ability of undergraduates, this study designed questionnaires on college students’ cognition in science and technology competitions. In this study, the reliability of the questionnaire was tested and factor analysis method was used to explore the influencing factors of competition cognition under the premise of ensuring the reliability of the questionnaire. According to the results of the analysis, to enhance the training ability of students, positive interactions between teachers and students are promoted through a network-based contest using the WeChat public platform to build a virtual contest environment. Results show that the WeChat teaching platform can gradually improve students’ independent innovation ability. These conclusions are helpful to understand the participation situation and existing problems in such competitions, and to provide a useful reference on how to actualize the role of science and technology competitions.
Exploration of An Open Online Learning Platform Based on Google Cloud Computing
Authors: Zhao Kai , Yang Qingxue , Ma Xinming
Published: July 2017

With the progress of society, traditional online learning platforms have demonstrated the uneven distribution of information resources, and teacher–student communication exhibits a certain delay. At present, cloud computing, which is a new product of information technology, has been favored in many areas because of its superior feedback mechanism and storage space. Therefore, to improve the integration of online learning information resources and facilitate interaction between teachers and students, we designed our own online learning system based on the Google cloud computing platform. We used Google’s cloud computing platform and the Google App Engine to develop a unified and open online learning platform that is capable of storing large amounts of data, integrating considerable amounts of learning resources, and storing them on cloud. Through a test, we determined that the designed online learning platform for sharing information resources and integrating teacher–student exchanges is highly beneficial. The platform helps the classroom learning atmosphere become active, and has a positive effect on teaching methods. The proposed platform can promote further development of online learning.
Life-Long Language Learning Strategies for a Brave New Digital World
Authors: Sadoux Marion
Published: July 2017

The focus of this case study is to report and reflect on the design, implementation and fine tuning of the Peer Supported Online Language Learning Exchange module, known more simply as OLLE (Online Language Learning Exchange) which was developed in 2013 and is delivered in collaboration with students at the University of Nottingham Ningbo China. This module seeks to give students in all three University Campuses (United Kingdom, China, and Malaysia) the opportunity to continue to learn a foreign language together, blending, where this is geographically possible, face to face learning opportunities with online learning. It strongly emphasizes language learning as a lifelong learning skill and seeks in particular to develop students' skills in learning to learn a language in digital realms and to develop a strong set of digital literacies for language learning.
Flying High
Authors: Khitha Samarth , Castello Karan , Saldanha Nihal , Ahluwalia Simran , Oberoi Sheena
Published: July 2017

The chapter involves the design of a research based on the primary data collected on the airline preferences of individuals in urban India of different age groups from 16-84, belonging to diverse cities from across India. It focusses on gathering data on various aspects of economic status of people and the different flights they prefer based on various amenities like punctuality, pricing of tickets, baggage allowance etc. It also explores respondents' enrolment in reward programmes, their preferred cabin classes, their most frequent means of booking their tickets etc. The chapter has used primary and secondary data to analyse the problem under study. The study seeks to derive the choices of Indians per se about the way to travel by airways.
Cultural Nuances in Changing Consumer Behavior
Authors: Sarma Sarmistha
Published: July 2017

Culture is significant to developing consumer behavior. Companies that have succeeded in understanding the dynamics of culture have been able to withstand the test of time in developing as successful companies. The constantly evolving marketing discipline has come to rest heavily on understanding the cultural nuances of the target market in an effort to decode the buying behavior. Culture shapes the way we lead our lives, therefore culture determines the consumption pattern of the consumers. Marketers have been closely monitoring the cultural clues in order to make their marketing strategies directed towards the target consumers. Here it is important to understand the extent to which culture governs consumer behavior and shapes the cultural positioning processes. This chapter discusses the concept of culture and its impact on consumer behavior and finally discusses upon the concept of cultural positioning citing various marketing examples.
Food Security and Rural Development on Emerging Markets of Northeast Asia
Authors: Tianming Gao
Published: July 2017

The impact of economic globalization on sustainable development has been more and more perceptible since the 21st century. Regions of Russian Far East and Northeast China are the important regions affecting the sustainable development of the world because of their rich natural resources, good environment condition, and large potential for economic development. Due to a number of historical and geopolitical reasons, the cooperation between Russia and China in the region of Northeast Asia is progressing, but at a quite slow speed and in an unsustainable manner. The chapter addresses some problems and challenges of sustainable rural development in the Heilongjiang Province, P.R. China and neighbor cross-border regions of Russia (Far East Federal District and Siberian Federal District), investigates similarities and differences of rural way of life in those regions, and discusses measures to promote the cooperation between the two countries and ensure sustainable rural development and food security in the macro-region of Northeast Asia.
Improvement of Food Security Through Reforming of Domestic Veterinary Service
Authors: Ivolga Anna , Trukhachev Vladimir , Bannikova Natalia , Baicherova Anzhelika
Published: July 2017

The chapter gives an overview of current issues of achievement of food security through reforming of veterinary service in the light of the social, ecological, and economic development of the society. The authors analyze certain challenges of food security existing in emerging countries, including expansion of market relations within veterinary service. The results of organizational and economic reforms of veterinary service are assessed on the case of Russia in a form of the survey of the heads of regional veterinary centers. Such issues as governmental and public regulations of quarantine operations and the most dangerous animal diseases are also discussed. In order to improve food security, the authors justify the measures for competition and demand stimulation, smoothing consequences of market imperfections, encouraging veterinarians' efforts on reducing the negative impact of livestock breeding on the environment.
Undirected Bipartite Networks as an Alternative Methodology to Probabilistic Exploration
Authors: Martínez-Cerdá Juan-Francisco , Torrent-Sellens Joan
Published: July 2017

This chapter explores how graph analysis techniques are able to complement and speed up the process of learning analytics and probability theory. It uses a sample of 2,353 e-learners from six European countries (France, Germany, Greece, Poland, Portugal, and Spain), who were enrolled in their first year of open online courses offered by HarvardX and MITX. After controlling the variables for socio-demographics and online content interactions, the research reveals two main results relating student-content interactions and online behavior. First, a multiple binary logistic regression model tests that students who explore online chapters are more likely to be certified. Second, the authors propose an algorithm to generate an undirected bipartite network based on tabular data of student-content interactions (2,392 nodes, 25,883 edges, a visual representation based on modularity, degree and ForceAtlas2 layout); the graph shows a clear relationship between interactions with online chapters and chances of getting certified.
Context Specific Modeling of Communicational and Informational Content in Facebook
Authors: Schick Johannes , Kuboschek Martin , Lippe Wolfram Manfred
Published: July 2017

In this chapter, the authors apply context specific methods to formalize communicational parameters for different profile groups in a social network platform, taking Facebook as an example. Information is posted to or shared with distinct user groups. The context specific approach is used to describe informational content of exchanged data and to formalize privacy settings in a social graph. Communicational and informational parameters are specified with direction and communicational content in a context specific model. Relations are defined to model communicational and informational interactions as well as environmental factors taking influence on the profile groups. The textual representation of this approach is introduced to describe models in a text-based form.
Visualizing Co-Authorship Social Networks and Collaboration Recommendations With CNARe
Authors: Brandão Michele A. , Diniz Matheus A. , de Sousa Guilherme A. , Moro Mirella M.
Published: July 2017

Studies have analyzed social networks considering a plethora of metrics for different goals, from improving e-learning to recommend people and things. Here, we focus on large-scale social networks defined by researchers and their common published articles, which form co-authorship social networks. Then, we introduce CNARe, an online tool that analyzes the networks and present recommendations of collaborations based on three different algorithms (Affin, CORALS and MVCWalker). Through visualizations and social networks metrics, CNARe also allows to investigate how the recommendations affect the co-authorship social networks, how researchers' networks are in a central and eagle-eye context, and how the strength of ties behaves in large co-authorship social networks. Furthermore, users can upload their own network in CNARe and make their own recommendation and social network analysis.
Community Detection in Large-Scale Social Networks
Authors: Chintalapudi S Rao , Prasad M. H. M. Krishna
Published: July 2017

Community Structure is one of the most important properties of social networks. Detecting such structures is a challenging problem in the area of social network analysis. Community is a collection of nodes with dense connections than with the rest of the network. It is similar to clustering problem in which intra cluster edge density is more than the inter cluster edge density. Community detection algorithms are of two categories, one is disjoint community detection, in which a node can be a member of only one community at most, and the other is overlapping community detection, in which a node can be a member of more than one community. This chapter reviews the state-of-the-art disjoint and overlapping community detection algorithms. Also, the measures needed to evaluate a disjoint and overlapping community detection algorithms are discussed in detail.
Spreading Activation Connectivity Based Approach to Network Clustering
Authors: Troussov Alexander , Maruev Sergey , Vinogradov Sergey , Zhizhin Mikhail
Published: July 2017

Techno-social systems generate data, which are rather different, than data, traditionally studied in social network analysis and other fields. In massive social networks agents simultaneously participate in several contexts, in different communities. Network models of many real data from techno-social systems reflect various dimensionalities and rationales of actor's actions and interactions. The data are inherently multidimensional, where “everything is deeply intertwingled”. The multidimensional nature of Big Data and the emergence of typical network characteristics in Big Data, makes it reasonable to address the challenges of structure detection in network models, including a) development of novel methods for local overlapping clustering with outliers, b) with near linear performance, c) preferably combined with the computation of the structural importance of nodes. In this chapter the spreading connectivity based clustering method is introduced. The viability of the approach and its advantages are demonstrated on the data from the largest European social network VK.
Conceptualizing Corporate Entrepreneurship Capability and Its Linkages Towards Firm Performance
Authors: Kumar Rohit , Kumar Amit
Published: July 2017

The practices facilitating Corporate Entrepreneurship Capability (CEC), an intangible organizational capability embedded in an enterprise's culture are particularly important to innovation. The existing literature suggest the important of combining practices, however, there is a distinct lack of theoretical as well as empirical studies that have explored how these practices work together to promote and facilitate CEC. While different alternatives to realize the simultaneous reconciliation of exploration and exploitation have been proposed, how organizations build CEC is not fully understood. In this chapter, the authors first define CEC and then explain its relationship with Business Model Innovation (BMI), Innovation Ambidexterity (IA) and firm performance. The chapter is a theoretical contribution and builds on the Schumpeter view on entrepreneurship and innovation, resource-based theory of the firm and corporate entrepreneurship literature. The authors have suggested alternate contingency models for testing relationships among CEC, BMI, IA and Firm Performance.
Branding Impetus for Start-Ups
Authors: Venkatesh Umashankar
Published: July 2017

Startups face multiple challenges in the initial stages of their existence, characterized by resource constraints, they encounter – financial, legal and reputational risks. Gaining traction in the market, and scaling-up is the main thrust of any such business. Most start-ups come into existence on the basis of an innovative idea for a service or product, presented in the form of a business proposition. The consequence of this is - how do they establish this ‘new' idea/concept or product in the chosen market. A bigger question to answer is also the reputational non-existence of the start-ups when they are relatively unknown to most stakeholders and publics - relevant for growth and success. This chapter explores the relevance and importance of branding for startups based on literature and industry cases. The chapter concludes with outlining directions for brand building in the context of both B2C and B2B startups.
The Rise in the Sharing Economy
Authors: Kaushal Leena Ajit
Published: July 2017

Peer to Peer sharing economy has tremendous potential for decentralized innovation and new ventures in a developing country like India but apart from self regulation there is need for a new regulatory framework to realise its full potential. The regulatory policy should concurrently enhance the key efficiencies of sharing platforms along with protecting consumers' rights. Government should aim to secure the opportunities offered by these sharing platforms to optimise their operations and better utilisation of public resources. Thoughtful regulatory intervention can serve to encourage the development of new ideas and new ventures in the sharing economy.
Technology-Enhanced Exploratory Installations to Support Constructivist Professional Development
Authors: Musgrove Ann Terrill , Gunder Angela , Knott Jessica L. , Tomsic Frank , Banner Phylise , Melton Robbie , Goodrich David , Shah-Nelson Clark
Published: July 2017

The growth in technology tools and their uses continues to grow at an exponential pace. Whether it is for personal or professional use technology is everywhere, and it is ubiquitous. It is changing the way we seek knowledge, interact with information, and process the world around us to construct our learning pathways. Technology has made it simple for us to be consumers of information, but how do we evaluate and synthesize this information to construct meaning and create value? The technology test kitchen is a curated and managed makerspace designed for exploratory installation where novices and experts engage in deep, meaningful, constructive uses of technology for teaching and learning. The goal of the test kitchen is acquisition of “native-expert” use of technology in support of authentic learning, engendering deeper levels of technological fluency within a constructivist professional development experience.
Use of Technology-Enabled Informal Learning in a Learning Organization
Authors: Miller-Rososhansky Lori , Bryan Valerie C.
Published: July 2017

This chapter explores how an organization created to inform members became an online learning organization. Using technology, the organization continued to support the professionals as they evolved in their individual careers and within the organization. Best practices arose to better inform the members and to expand communities of practice (CoPs). Members meaningfully engaged in the learning organization, in their avocations, and their vocations. This mix-method study, with over a 118 Association for Talent Development (ATD) professionals, addressed how the ATD could continue to support professionals in our evolving technological society. The study allowed the ATD professionals themselves to identify how they could help the organization and its' members to advance the organization by using technology, informal learning and research-based learning to improve the membership organization roles. The study highlighted how important informal learning, professional development, modeling, and identifying best practices, are to an organization's growth and the professionals' growth.
The Impact of Technology on the Teaching and Learning Process
Authors: Finnegan Lisa A.
Published: July 2017

The teaching and learning process of traditionally run classrooms will need to change to meet up with the requirements under the reauthorization of the Elementary and Secondary Education Act as the Every Student Succeeds Act (ESSA). Under the ESSA, the infusion of the Universal Design for Learning (UDL) framework into the teaching and learning environment sets the stage so that instruction and assessment support all levels of learners. Along with UDL, ESSA supports the inclusion of technology-rich learning environments to prepare students for 21st century problem-solving and critical thinking skills. Critical to preparing students comes an understanding of who the 21st century learners are. The current teaching and learning process involving the use of technology continues to hold students back as passive observers of content. Merging technology and the UDL framework in the classroom will be an avenue to meeting the learning needs and wants of 21st century students.
Evolution of Covert Coaching as an Evidence-Based Practice in Professional Development and Preparation of Teachers
Authors: Randolph Kathleen M. , Brady Michael P.
Published: July 2017

There is a tradition of coaching in many fields that prepares and improves performance among professionals. Coaching practices evolved over time, with several technological applications developed to improve the coaching process. An application gaining attention as an evidence-based practice is the use of wireless communication systems in which coaching statements are delivered to individuals while they engage in work. In education this has been called Bug-in-Ear coaching or Covert Audio Coaching, and has demonstrated its efficacy as a coaching intervention with teachers, families, and individuals with developmental disabilities. In this chapter the evolution of coaching across disciplines is summarized and specific applications that hold promise as an evidence-based practice for the professional development and preparation of teachers are described. This chapter summarizes 22 studies which support covert coaching as an evidence-based practice. Covert coaching enables immediate feedback without interrupting the participants, and provides opportunities for immediate error correction.
Constantly Connected
Authors: Bird Jennifer Lynne
Published: July 2017

As society has transitioned from landlines to iPhones, people find themselves connected to their mobile devices 24/7. While the advantages of new technologies have led to constant availability, it has also led to additional stress and disconnection. For example, how many times have you seen a group of people out to dinner but they are all looking at their phones and not at each other? The problem is not the technology; instead, people need better coping strategies to deal with stress and the constant flood of information. This chapter will address the health consequences of stress and provide suggestions for how people can deal with stress in their lives. It will also illustrate the need for connection and the value of people being their authentic selves instead of portraying an image for social media.
Real-Time Image and Video Processing Using High-Level Synthesis (HLS)
Authors: Qasaimeh Murad , Salahat Ehab Najeh
Published: July 2017

Implementing high-performance, low-cost hardware accelerators for the computationally intensive image and video processing algorithms has attracted a lot of attention in the last 20 years. Most of the recent research efforts were trying to figure out new design automation methods to fill the gap between the ability of realizing efficient accelerators in hardware and the tight performance requirements of the complex image processing algorithms. High-Level synthesis (HLS) is a new method to automate the design process by transforming high-level algorithmic description into digital hardware while satisfying the design constraints. This chapter focuses on evaluating the suitability of using HLS as a new tool to accelerate the most demanding image and video processing algorithms in hardware. It discusses the gained benefits and current limitations, the recent academic and commercial tools, the compiler's optimization techniques and four case studies.
Universal Design for Learning (UDL) Guidelines for Mobile Devices and Technology Integration in Teacher Education
Authors: Shambaugh Neal , Floyd Kimberly K.
Published: July 2017

Universal Design for Learning (UDL) guidelines provide recommendations for flexible technology integration in teacher education. With the advent of mobile devices, such as smartphones and tablets, how do educators in teacher education programs (teacher education faculty, preservice teachers, public school teachers) use mobile devices within a flexible curriculum that addresses the learning of diverse students? Section one of this chapter describes the legal and administrative context for accessibility, the UDL conceptual framework, technology integration in teacher education, the TPCK model for technology integration, and the use of mobile devices in teacher education. Section two provides recommendations for applying UDL principles to mobile devices in public schools.
An Integral Analysis of Teachers' Attitudes and Perspectives on the Integration of Technology in Teaching
Authors: Ikenouye David , Clarke Veronika Bohac
Published: July 2017

This chapters explores teachers' attitudes toward, and integration of, technology from multiple perspectives. In order to gain a rich and contextualized understanding of how teachers genuinely use technology in the classroom, Wilber's (2006) Integral methodological pluralism was used as a framework to orient the study, to organize the research questions and to provide the conceptual framework for the research methodology. Four research questions were addressed in this study: (1) What is the influence of policies on teachers' use of technology? (2) What influence does the technology infrastructure have on teachers using technology? (3) What do teachers believe and think about technology? (4) What is the technological culture that teachers' experience? This chapter is an overview of the analysis of the differing and sometimes conflicting practices, beliefs and views on the adoption of technology in the classroom, from the four quadrant perspectives of the Integral Model.
Different Enhanced Technology Used in Core Counselor Education Courses
Authors: Dames Levette S. , Barrow Jennifer
Published: July 2017

Recently the Council for the Accreditation of Counseling and Related Educational Program (CACREP) broad granted many graduate counselor education programs eight or more year accreditation. In order for these institutions to have been awarded its accreditation, eight core counseling areas should have been addressed in their program or university alike. For counselor education programs to enter the 21st century, technology and media devices should be embraced in all of the eight core counseling areas. The chapter examines the usefulness and effectiveness of enhanced-technology and media devices of five of the eight core counseling areas for advancement and improvement of effective skills for counselors-in-training (CIT). University web-base and audio/video media devices were the common enhanced-technology devices used among five of the core counseling areas. In addition, the school counseling program technologies were also examined. Finally, implications for counselor education are provided.
Technology Integration in Digital Learning Environments
Authors: Mukiri Irene Mwingirwa , Ireri Bonface Ngari
Published: July 2017

Digital literacy indisputably plays a momentous role in our future lives (Allen, 2007). This chapter considers technology integration at various levels of school, ranging from primary to tertiary levels. It further shows results of a practical quasi experimental study done in Kenyan secondary schools showing how scores of students learning mathematics in a technology-based environment compared with those learning using conventional methods of teaching. The students' scores in examinations showed that the students learning using the selected application known as GeoGebra performed better and girls performed equally as well as boys when taught mathematics in a technology environment. The chapter underscores the importance of technology to improve teaching and learning process and it has promise to bridge the gap in performance between boys and girls in Science Technology Engineering and Mathematics (STEM).
Effective Educational Leadership in the Digital Age
Authors: Tandoh Kwesi Armah , Ebe-Arthur Josephine Effibah
Published: July 2017

The purpose of this paper is to develop and promote a realistic understanding of leadership in higher education in a digital learning environment. This is critical to supporting current generations of students also known as digital natives in the digital age. This chapter also discusses the importance of immediacy in educational leaders in education, and its ability to allow both learners and leaders to work together in an environment that promotes teaching and fosters meaningful learning. Leadership challenges discussed include lack of communication between leadership, students, and employees, maintaining quality with diminished resources. Best practices discussed include setting the pace, developing the human capital, and developing the school as an organizational unit and also promote individual responsibility and leadership accountability. Finally, workplace behaviors such as effective leadership behavior and role modeling, interaction between leaders, stakeholders, and the promotion of mutual understanding are discussed.
Best Practice to Support Online Student Engagement
Authors: Cook-Benjamin Lorie
Published: July 2017

A best practice is a technique or methodology that, through experience and research, has proven to reliably lead to a desired result (Rouse, 2007). This chapter explores a best practice that aimed to increase the engagement of online students in a teacher education course. The best practice is related to the Community of Inquiry (CoI; Anderson, & Archer, 2000), a framework that provides an understanding of the development of online learning communities (Swan & Ice, 2010). The chapter includes a brief review of the literature on the factors that foster student engagement; online student engagement is also discussed. A description is provided of a course assignment that was modified to increase the engagement of online students. The results of this assignment's modification were positively perceived by the online students. The chapter concludes with recommended technology tools to foster engagement of online students.
Integrating ICT in Secondary Teacher Education
Authors: Gondwe Foster
Published: July 2017

This chapter presents an analysis of education technology policy for integrating education technology in Malawi's secondary teacher education since 1994. The status of education technology research in Malawi, often in form of pilot studies evoked the study's questions: What policies are guiding the use of ICT in teacher education? How has education technology policy for secondary teacher education evolved? What have been the influencing factors for the education technology policies on secondary teacher education? What are the assumptions and rationale underlying such policies? Using Ball's contexts of policy making framework, the analysis shows that the evolution of education technology policy for secondary teacher education can be attributed to the aftermath of Free Primary Education in 1994. However, the reviewed policies show inconsistence, and suggest to have been formulated on speculations other than research conducted in the context within which such policies are intended to drive the desired changes.
Advanced Threat Detection Based on Big Data Technologies
Authors: Shetty Madhvaraj M. , H. Manjaiah D.
Published: July 2017

Today constant increase in number of cyber threats apparently shows that current countermeasures are not enough to defend it. With the help of huge generated data, big data brings transformative potential for various sectors. While many are using it for better operations, some of them are noticing that it can also be used for security by providing broader view of vulnerabilities and risks. Meanwhile, deep learning is coming up as a key role by providing predictive analytics solutions. Deep learning and big data analytics are becoming two high-focus of data science. Threat intelligence becoming more and more effective. Since it is based on how much data collected about active threats, this reason has taken many independent vendors into partnerships. In this chapter, we explore big data and big data analytics with its benefits. And we provide a brief overview of deep analytics and finally we present collaborative threat Detection. We also investigate some aspects of standards and key functions of it. We conclude by presenting benefits and challenges of collaborative threat detection.
Efficiently Processing Big Data in Real-Time Employing Deep Learning Algorithms
Authors: Khan Murad , Silva Bhagya Nathali , Han Kijun
Published: July 2017

Big Data and deep computation are among the buzzwords in the present sophisticated digital world. Big Data has emerged with the expeditious growth of digital data. This chapter addresses the problem of employing deep learning algorithms in Big Data analytics. Unlike the traditional algorithms, this chapter comes up with various solutions to employ advanced deep learning mechanisms with less complexity and finally present a generic solution. The deep learning algorithms require less time to process the big amount of data based on different contexts. However, collecting the accurate feature and classifying the context into patterns using neural networks algorithms require high time and complexity. Therefore, using deep learning algorithms in integration with neural networks can bring optimize solutions. Consequently, the aim of this chapter is to provide an overview of how the advance deep learning algorithms can be used to solve various existing challenges in Big Data analytics.
Principles of Responsible Management Education (PRME)
Authors: Mokoqama Malebo , Fields Ziska
Published: July 2017

Curriculums of business schools have been questioned in terms of the relevancy and practical application of real life scenarios. Business schools have a responsibility to promote and encourage responsible management education within their curricula and learning experience. Being responsible allows business schools to produce graduates who will become responsible leaders who have a lasting impact on businesses, communities, the environment, the country and the world. There is rising pressure for business schools to promote responsible management education through initiatives such as the Principals of Responsible Management Education (PRME). This chapter seeks to identify the challenges and benefits of PRME and the role that business schools play in implementing it in their curriculums.
Designing Online MBA Programs to Promote Transformative Learning and Knowledge Creation Through Project-Based Learning Using the Job Characteristics Model
Authors: Norris Sharon. E.
Published: July 2017

Institutions of higher education are experiencing radical shifts as a result of advances in technology and communication along with increasing demands for online learning. The online learning environment creates a new learning space for students and instructors where new pedagogy and technology tools can be used to facilitate critical thinking and application of learning. Presented in this chapter is a design for online MBA programs to promote transformative learning and knowledge creation through project-based learning using the job characteristics model. Project-based learning activities enhance skill variety, task identity, task significance, autonomy, and feedback thereby strengthening meaningfulness of learning activities and enhancing student motivation, satisfaction, and performance. While engaged in project-based learning activities, online MBA students have the freedom to proactively self-initiate changes in task, relationship, and cognitive boundaries thus nurturing an environment for job crafting. Online MBA Programs are most effective when business students apply learning to real work experiences.
The Case Study
Authors: Brady Joseph
Published: July 2017

Today's complex and global corporate environment requires business students to enter the workplace with more diverse skills and the ability to make useful decisions in their careers. The old adage of speaking “to” students in a classroom through straight lecturing is becoming less relevant in today's dynamic world. Rather, students must be engaged in the classroom and educators should provide the opportunity to enhance their decision making skills through real world problem solving. One way to do this is through the methods of active teaching and the utilization of case studies. Case studies are a story, or a narrative, that can induce higher critical thinking and engagement in the classroom and can prepare students for their careers by helping them make real world decisions in a simulated environment. This chapter focuses on the fundamental differences between traditional, lecture-based teaching and the importance of active learning in higher education.
Educational and Business Co-Operatives
Authors: Rusko Rauno , Hietanen Lenita , Kohtakangas Krista , Kemppainen-Koivisto Riitta , Siltavirta Katta , Järvi Taina
Published: July 2017

One tendency among co-operatives is to establish co-operatives not only for the purposes of business but also for the purposes to teach collaboration practices in business education. This study investigates and compares traditional business co-operatives and educational co-operatives as the environments of entrepreneurial learning communities. The data, which consist of interviews with members of both types of co-operatives, have been analyzed using the content analysis method. The main outcomes show that in both types of co-operatives sense of community and creativity are manifested as the parts of the entrepreneurial learning process. When considering if the learning processes were manifested as single- and double-loop learning – and the development of collective creativity – some differences were observed between educational co-operatives and business co-operatives.
Development of Knowledge and Skills with Case Method
Authors: Prystupa Kaja , Luethi Omar
Published: July 2017

The aim of this chapter is to analyze the application of two different variations of the case study method at different levels of education programs in reference to the development of knowledge and skills. Based on theoretical foundations the authors share good practices of their own experience as educators at HSO Business School in Switzerland and Kozminski University in Poland. Both institutions face different challenges created by different institutional settings. These reach from pre-experienced undergraduate and graduate student group in a traditional University setting in Poland to part-time students with several years of work experience in higher vocational education in Switzerland.
Teaching Accounting and Management Through Business Simulation
Authors: Silva Paulino L. , Santos J. Freitas , Vieira Isabel
Published: July 2017

Everyday accounting and management teachers face the challenge of creating learning environments that motivate students. This chapter describes the Business Simulation (BS) experience that has taken place at the Polytechnic Institute of Porto, Institute of Accounting and Administration (IPP/ISCAP). The chapter presents students' perceptions about the course and the teaching/learning approach. The results show that pedagogical methods used (competency-oriented), generic competencies (cooperation and group work), and interpersonal skills (organisational and communication skills) are relevant for future accounting professionals. In addition, positive remarks and possible constraints based on observation, staff meetings, and past research are reported. The chapter concludes with some recommendations from the project implementation.
Entrepreneurship Education
Authors: Mani Mukta
Published: July 2017

Entrepreneurship education is believed to provide students with understanding of concepts of entrepreneurship, train and motivate them to indulge into entrepreneurial activities in future. This is an empirical study to explore the entrepreneurship education in engineering discipline from the perspective of students. The study also attempts to unearth the factors that motivate them to take entrepreneurial activities and their perceived hurdles. Data about the opinion of students regarding entrepreneurship education has been collected from 168 students. The data has been analyzed using various statistical tools. It is found that the students are highly interested in starting their own business. They consider that decision making skills, risk taking capacity, creativity, communication skills and ability to prepare business plan are the most important skills for a successful entrepreneur. They feel motivated to start their own business because of intrinsic factors like being their own boss, chasing their dreams. Lack of experience and lack of funds are the most deterring factors.
Teaching Business Ethics Post GFC
Authors: Issa Theodora , Pick David
Published: July 2017

Following the recent downfall of several high ranking executives, not only in the business world, but also in governments, attention is directed to the teaching of ethics in business schools. More specifically, attention is drawn to these schools' purposes, values, methods, research, partnerships and dialogues in terms of their responsibilities regarding management education. In the current academic environment, business ethics are recognized as an important element in curriculum, but these topics have not yet become fully and successfully embedded in the mainstream business education. Consequently, business schools worldwide are adapting their curricula, research, teaching methodologies and institutional strategies to become better aligned with new challenges and opportunities. However, there is a need for research that will provide theoretical underpinnings for such changes to curricula in terms of pedagogy and content. This chapter examines a method of teaching business ethics. The results of this research were conducted on undergraduate students in their final year study.
The Impact of the Entrepreneur's Educational Level on the Employment Creation by New Small and Medium Enterprises
Authors: Zambujal-Oliveira João , Contente Luis
Published: July 2017

This chapter examines the effects of different types of start-up rates on subsequent employment change. Longitudinal data on start-ups and employment in Portuguese regions in the period 1996–2007 is used for the analysis. The study addresses whether diverse types of new small- and medium-sized enterprise formation have heterogeneous effects on regional employment generation. It is found that, for the range considered, the seven types of start-ups led to significant and negative effects on the average variation of regional employment. It is also observed that these effects were more negative for start-ups with at least one business owner with higher education in engineering and for start-ups with at least one business owner with higher education in management. The last conclusion is that the share of highly skilled employees has a statistically significant and positive impact on the average employment change and, therefore, on regional development.