Web-based counseling for problem gambling: exploring motivations and recommendations

Background:

A new approach based on support vector machine for solving stochastic optimization

Making decision usually occurs in the state of being uncertain. These kinds of problems often expresses in a formula as optimization problems. It is desire for decision makers to find a solution for optimization problems. Typically, solving optimization problems in uncertain environment is difficult. This paper proposes a new hybrid intelligent algorithm to solve a kind of stochastic optimization i.e. dependent chance programming (DCP) model. In order to speed up the solution process, we used support vector machine regression (SVM regression) to approximate chance functions which is the probability of a sequence of uncertain event occurs based on the training data generated by the stochastic simulation. The proposed algorithm consists of three steps: (1) generate data to estimate the objective function, (2) utilize SVM regression to reveal a trend hidden in the data (3) apply genetic algorithm (GA) based on SVM regression to obtain an estimation for the chance function. Numerical example is presented to show the ability of algorithm in terms of time-consuming and precision.

The healthy child citizen: biopedagogies and web-based health promotion

The health of children in affluent economies has become closely tied to the ideal of a normative body weight achieved by monitoring and balancing diet and physical activity. As a result, the education of young people on how to avoid becoming fat begins at an early age through the language and practices of families, the messages embedded in children’s media, and through formal schooling. In this paper we use the concept of biopedagogies to investigate how discourses that connect food, the body and health come together on Internet websites to instruct children on how they should come to know and act on themselves in order to be(come) healthy bio-citizens.

Focus group discussions of literacy assessment and world wide web-based reading intervention

Focus groups provide a means for participants in research to take on a greater role in the evaluation of the research and planning of its various stages. The role and outcomes of focus groups conducted with participants in a World Wide Web Project in literacy assessment and intervention are reported. Thirteen individuals with severe communication impairments participated in one of three focus groups. The groups were held after an assesment of reading skills and a trial period of intervention as part of the Web Project. The aim of the focus groups was to obtain feedback from participants about their involvement in the project and to discuss strategies for the next stage of the intervention. The focus groups offered a forum for participants to talk about what they did and did not like about the assessment and trial intervention. The discussions provided information about issues of both a practical and emotional nature that might have otherwise been unavailable to the researchers. Brainstorming of strategies provided valuable input for the next stage of the project and involved both the researchers and participants in a form of participatory action research.

Developing and using an S3R model to analyze reasoning in web-based cross-national exchanges on sustainability

Within the increasing body of research that examines students' reasoning on socioscientific issues, we consider in particular student reasoning concerning acute, open-ended questions that bring out the complexities and uncertainties embedded in ill-structured problems. In this paper, we propose a socioscientific sustainability reasoning (S3R) model to analyze students' reasoning exchanges on environmental socially acute questions (ESAQs). The paper describes the development of an epistemological analysis of how sustainability perspectives can be integrated into socioscientific reasoning, which emphasizes the need for S3R to be both grounded in context and collective. We argue the complexity of ESAQs requires a consideration of multiple dimensions that form the basis of our S3R analysis model: problematization, interactions, knowledge, uncertainties, values, and governance. For each dimension, in the model we have identified indicators of four levels of complexity. We investigated the usefulness of the model in identifying improvements in reasoning that flow from cross-national web-based exchanges between groups of French and Australian students, concerning a local and a global ESAQ. The S3R model successfully captured the nature of reasoning about socioscientific sustainability issues, with the collective negotiation of multiple forms of knowledge as a key characteristic in improving reasoning levels. The paper provides examples of collaborative argumentation in collective texts (wikis) to illustrate the various levels of reasoning in each dimension, and diagrammatic representation of the evolution of collective reflections. We observe that a staged process of construction and confrontation, involving groups representing to some extent different cultural and contextual stances, is powerful in eliciting reasoned argument of enhanced quality. © 2014 Wiley Periodicals, Inc.

A new interval-based method for handling non-monotonic information

The focus of this paper is on handling non-monotone information in the modelling process of a single-input target monotone system. On one hand, the monotonicity property is a piece of useful prior (or additional) information which can be exploited for modelling of a monotone target system. On the other hand, it is difficult to model a monotone system if the available information is not monotonically-ordered. In this paper, an interval-based method for analysing non-monotonically ordered information is proposed. The applicability of the proposed method to handling a non-monotone function, a non-monotone data set, and an incomplete and/or non-monotone fuzzy rule base is presented. The upper and lower bounds of the interval are firstly defined. The region governed by the interval is explained as a coverage measure. The coverage size represents uncertainty pertaining to the available information. The proposed approach constitutes a new method to transform non-monotonic information to interval-valued monotone system. The proposed interval-based method to handle an incomplete and/or non-monotone fuzzy rule base constitutes a new fuzzy reasoning approach.