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Full-Text Articles in Physical Sciences and Mathematics
Distrust, Fear And Emotional Learning: An Online Auction Perspective, Glenn Bewsell
Distrust, Fear And Emotional Learning: An Online Auction Perspective, Glenn Bewsell
Dr Glenn Bewsell
This exploratory research explores the emotional perspective of online distrust, where distrust is a fear. Fear is one of the negative emotions where the situational state is motive-inconsistent and uncertainty is present. A review of literature explores distrust as a fear, emotions, emotional learning and identifies cognitive dimensions consistent with fear. These cognitive dimensions are motive-inconsistent situational state, uncertainty, goal-path obstacle, effort, and agency/control. Textual data is collected from an online auction community website to support this research. The dimensions consistent with fear are identified within the data collected and analyzed using qualitative analysis. Goal-path obstacles are identified within the …
Positive Semidefinite Metric Learning Using Boosting-Like Algorithms, Chunhua Shen, Junae Kim, Lei Wang, Anton Hengel
Positive Semidefinite Metric Learning Using Boosting-Like Algorithms, Chunhua Shen, Junae Kim, Lei Wang, Anton Hengel
Dr Lei Wang
The success of many machine learning and pattern recognition methods relies heavily upon the identification of an appropriate distance metric on the input data. It is often beneficial to learn such a metric from the input training data, instead of using a default one such as the Euclidean distance. In this work, we propose a boosting-based technique, termed BOOSTMETRIC, for learning a quadratic Mahalanobis distance metric. Learning a valid Mahalanobis distance metric requires enforcing the constraint that the matrix parameter to the metric remains positive semidefinite. Semidefinite programming is often used to enforce this constraint, but does not scale well …
Considering Cognitive Load Theory Within E-Learning Environments, Abdullah Al Asraj, Mark Freeman, Paul Chandler
Considering Cognitive Load Theory Within E-Learning Environments, Abdullah Al Asraj, Mark Freeman, Paul Chandler
Dr Mark Freeman
This study seeks to investigate how cognitive load influences knowledge construction and what is the role of layered integrated instructional techniques in facilitating the construction and automation of schemas whilst users are interacting with e-learning tools. Initially the literature on how Cognitive Load Theory (CLT) plays a role in e-learning tools is presented, this is followed by the considerations that need to be taken when developing e-learning tools with CLT as a focus so that learners can gain the best possible learning outcomes. This paper finally presents three different ways that e-learning tools can be designed when considering the cognitive …
Learning From The South: Common Challenges And Solutions For Small-Scale Farming, L C Stringer, C Twyman, Leah Gibbs
Learning From The South: Common Challenges And Solutions For Small-Scale Farming, L C Stringer, C Twyman, Leah Gibbs
Leah Maree Gibbs
Small-scale farmers all over the world face a number of common biophysical and socio-economic challenges. In this paper we draw on data from a workshop held in the UK in 2005, to assess whether experiences in addressing these challenges, as gained in the global South, may be used to inform solutions to similar challenges in the UK. In doing so, we contribute to a growing body of literature that seeks to challenge predominantly North-South flows of knowledge and resources. We first identify specific common challenges faced by small-scale farmers in the global North and South. We then compare the different …