Collaborative Interaction Analysis involves quantitative and qualitative techniques of coding and interpreting recorded group activities, mostly used by researchers of Computer Supported Collaborative Learning (CSCL). These techniques are usually tedious and necessitate specialized knowledge, so they are not suitable for everyday class practice. A hypothesis investigated in this paper is that s...

Lynn Wilss School of Learning & Development Queensland University of Technology This paper reports the findings of a pilot study aimed at improving learning outcomes from Computer Assisted Instruction (CAI). The study involved second year nursing students at the Queensland University of Technology. Students were assessed for their preferred cognitive style and presented with either matched or m...

Learning and Problem Solving with Multilayer Connectionist Systems

This article focuses on the problem solving process in design. Today, enterprises face an important need of innovation, as they have to regularly propose new products or new services. Design is one of the key activities of enterprises to be innovative, but it is also one of the more difficult activities to manage and especially to appreciate its performance. There exists many tools to evaluate ...

‎the global generalized minimum residual (gl-gmres)‎ ‎method is examined for solving the generalized sylvester matrix equation‎ ‎[sumlimits_{i = 1}^q {a_i } xb_i = c.]‎ ‎some new theoretical results are elaborated for‎ ‎the proposed method by employing the schur complement‎. ‎these results can be exploited to establish new convergence properties‎ ‎of the gl-gmres method for solving genera...

Crime solving is a domain where solution discovery is often serendipitous. Unstructured mechanisms, like Reddit, for crime solving through crowds have failed so far. Mechanisms, collaborations, workflows, and micro-tasks necessary for successful crime solving might also vary across different crimes. Cognitively, while experts might have deeper domain knowledge, they might also fall prey to bias...

According to cognitive psychology and related disciplines, the development of complex problem-solving behaviour in biological agents depends on hierarchical mechanisms. Hierarchical reinforcement learning is a promising computational approach that may eventually yield comparable artificial robots. However, so far, abilities many human non-human animals are clearly superior those systems. Here w...