Cloud-Based Identity and Identity Meta-Data

This paper proposes a new identity, and its underlying meta-data, model. The approach enables secure spanning of identity meta-data across many boundaries such as health-care, financial and educational institutions, including all others that store and process sensitive personal data. It introduces the new concepts of Compound Personal Record (CPR) and Compound Identifiable Data (CID) ontology, which aim to move toward own your own data model. The CID model ensures authenticity of identity meta-data; high availability via unified Cloud-hosted XML data structure; and privacy through encryption, obfuscation and anonymity applied to Ontology-based XML distributed content. Additionally CID via XML ontologies is enabled for identity federation. The paper also suggests that access over sensitive data should be strictly governed through an access control model with granular policy enforcement on the service side. This includes the involvement of relevant access control model entities, which are enabled to authorize an ad-hoc break-glass data access, which should give high accountability for data access attempts.

From Learning Management System to Internet-Based Research in Mathematics Education

A Learning Management System (LMS) is a software application for the administration, documentation, tracking, reporting, and delivery of e-learning education courses or training programs. The traditional distance education for mathematics has heavily relied on the application of LMS. However, the Standards for Mathematical Practice have provided the requirements to mathematics educators at all levels for the students' development. This chapter presents the introduction of the transformation from LMS to Internet-based research in the mathematical education. This is the viewpoint of the patterns, developments, changes, or phenomena within their respective fields with regards to distance education of mathematics. It also creates a broad, multidisciplinary understanding of online education across educational boundaries and demonstrates the unique future trajectories that online education has within these mathematics.

Engineers, Emotions, and Ethics

This chapter tries to answer the question: What part, if any, should emotion have in making engineering decisions? The chapter is, in effect, a critical examination of the view, common even among engineers, that a good engineer is not only accurate, laconic, orderly, and practical but also free of emotion. The chapter has four parts. The first, the philosophical, provides a critical analysis of the term “emotion.” The second and third parts show how that analysis helps us understand the relation between emotion and engineering. It explicates what a reasonable emotion is. These two sections are organized around an ethical problem concerning management's rejection of engineering judgment. The fourth part, the pedagogical, delineates how we should develop a curriculum for a course in engineering ethics. It suggests teachers of engineering ethics should take time in class to help students accept the fact that engineering has an emotional side, for example, that doing good engineering is likely to delight them and doing bad engineering to depress them.

The Role of Students' Personality Traits in the Effective Use of Social Networking Sites in the Educational Context

By critically reviewing the theory and previous research in the domains of education, personality psychology, and Social Networking Sites (SNS), this chapter investigates the implications of educational SNS use for students with different personality structures. Conscientiousness is shown to be crucial for academic performance, with indications that neuroticism, agreeableness, and openness are important as well. With regard to SNS use in schools, the authors give a short review of the existing studies, which yielded contradictory findings when it comes to SNS's effect on academic achievement, but are fairly in agreement about students' positive attitudes toward their use in schools. As the main purpose, the authors present personality-related findings and make predictions about the benefits of educational SNS use for introverted and highly neurotic students and those with low self-esteem. They conclude that introducing SNS into the educational context would be valuable for all students, especially with regard to giving them equal chances in realizing their potential.

Picking up the Pieces

This chapter reports the findings from a review of contemporary assessment and treatment approaches with adult women who have experienced Child Sexual Abuse (CSA). The social worker who engages with women recovering from CSA in adulthood needs to address issues of trust, relationship, and safety. Services that provide culturally sensitive and appropriate models of intervention are likely to impact positively on client rapport and engagement with the social worker and, therefore, greater therapeutic gains are possible when a relationship of trust is established. The implications for social work practice are discussed in relation to a multi-systems and multi-theoretical approach involving the client and her social networks from within strengths-based and ecological systems perspectives. Future research is recommended on the impact of the availability of culturally appropriate services for CSA survivors and cultural safety supervision for social workers, as these variables influence the therapeutic outcomes for women survivors of CSA.

Tutoring Process in Emotionally Intelligent Tutoring Systems

Research has shown that emotions can influence learning in situations when students have to analyze, reason, make conclusions, apply acquired knowledge, answer questions, solve tasks, and provide explanations. A number of research groups inspired by the close relationship between emotions and learning have been working to develop emotionally intelligent tutoring systems. Despite the research carried out so far, a problem how to adapt tutoring not only to a student's knowledge state but also to his/her emotional state has been disregarded. The paper aims to examine to what extent the tutoring process and tutoring strategies are adapted to students' emotional and knowledge states in these systems. It also presents a study on how to influence student's emotions looking from the pedagogical point of view and provides general guidelines for selection of tutoring strategies to influence and regulate student's emotions.

The Role of Implicit Mechanisms in Buffering Self-Esteem from Social Threats

Previous research has demonstrated that people have the goal of self-enhancing, or viewing themselves in an overly positive light. However, only recent research has examined the degree to which the relationship between self-enhancement goals and outcomes are a result of explicit deliberative mechanisms or implicit automatic mechanisms. The current chapter reviews evidence on unconscious goal pursuit, autobiographical memory, social neuroscience, and implicit self-esteem that suggests that implicit mechanisms play a powerful role in producing self-enhancement outcomes. Furthermore, this chapter reviews evidence that these implicit mechanisms are activated by social threats and thus contribute to successful coping. Finally, the authors discuss the implications of implicit self-enhancement mechanisms for targets of stigma, individuals who frequently encounter threats to well-being.

Comparing Data Mining Models in Academic Analytics

The goal of this research study was to compare data mining techniques in predicting student graduation. The data included demographics, high school, ACT profile, and college indicators from 1995-2005 for first-time, full-time freshman students with a six year graduation timeline for a flagship university in the south east United States. The results indicated no difference in misclassification rates between logistic regression, decision tree, neural network, and random forest models. The results from the study suggest that institutional researchers should build and compare different data mining models and choose the best one based on its advantages. The results can be used to predict students at risk and help these students graduate.

Identity and E-Learning

Globalisation is changing the worlds of work and education. Although the hospitality industry has always operated at an international level, today's educators must prepare future managers for an increasingly diverse global world where we are all connected via technology in ways that were unimaginable even 10 years ago. Educators face strategic decisions about how and when they integrate technology into their programs. Transnational e-learning spaces, which are affecting the way we operate in our daily lives both at work and learning, have opened up. Educators need to fully understand what happens within these spaces—to the learners and to learning—in order to ensure that the quality of learning and the learning systems. This chapter considers ways in which hospitality management education can be enhanced through a focus on e-learning and identity.

Towards an Improved Ensemble Learning Model of Artificial Neural Networks

Artificial Neural Networks (ANN) have been widely applied in petroleum reservoir characterization. Despite their wide use, they are very unstable in terms of performance. Ensemble machine learning is capable of improving the performance of such unstable techniques. One of the challenges of using ANN is choosing the appropriate number of hidden neurons. Previous studies have proposed ANN ensemble models with a maximum of 50 hidden neurons in the search space thereby leaving rooms for further improvement. This chapter presents extended versions of those studies with increased search spaces using a linear search and randomized assignment of the number of hidden neurons. Using standard model evaluation criteria and novel ensemble combination rules, the results of this study suggest that having a large number of “unbiased” randomized guesses of the number of hidden neurons beyond 50 performs better than very few occurrences of those that were optimally determined.