Complex Problem solving (CPS) is as an area of cognitive science that has received a good amount of attention, but theories in the field have not progressed accordingly. The reasons could be the lack of good definitions and classifications of the tasks (taxonomies). Although complexity is a term used pervasively in psychology and is operationalized in different ways, there are no psychological ...

Although information systems (IS) problem solving involves knowledge of both the IS and application domains, little attention has been paid to the role of application domain knowledge. In this study, which is set in the context of conceptual modeling, we examine the effects of both IS and application domain knowledge on different types of schema understanding tasks: syntactic and semantic compr...

Given data about problem solving times, how much can we automatically learn about students’ and problems’ characteristics? To address this question we extend a previously proposed model of problem solving times to include variability of students’ performance and students’ learning during sequence of problem solving tasks. We evaluate proposed models over simulated data and data from a “Problem ...

Despite a focus on teaching mathematics through challenging, problem solving tasks, there has been limited research into student attitudes towards these learning experiences. To address this gap in the literature, we asked 52 Australian primary students who had recently experienced taught manner to convey their feelings about solving. Adopting qualitative design, participants completed brief qu...

Abstract The important role of student agency in collaborative problem-solving has been acknowledged previous mathematics education research. However, what remains unknown are the processes open-ended tasks that draw on real-life contexts and demand argumentation beyond “mathematical”. In this study, we analyse a video recording two groups (each consisting four students) taking part problem-sol...

The Extensible Computational Chemistry Environment (Ecce) is a suite of distributed applications that are integrated as a comprehensive problem solving environment for computational chemistry. Ecce provides scientists with an easily used graphical user interface to the tasks of setting up complex molecular modeling calculations, distributed use of high performance computers, and scientific visu...

Case-based reasoning (CBR) is an approach to problem solving that emphasizes the role of prior experience during future problem solving (i.e., new problems are solved by reusing and if necessary adapting the solutions to similar problems that were solved in the past). It has enjoyed considerable success in a wide variety of problem solving tasks and domains. Following a brief overview of the tr...