Self-assessment and study choice are two important metacognitive processes involved in Self-Regulated Learning. Yet not much empirical work has been conducted in ITSs to investigate how we can best support these two processes and improve students’ learning outcomes. The present work redesigned an Open Learner Model (OLM) with three features aimed at supporting self-assessment (self-assessment p...

In Broadcast Search (BS) an organization discloses the details of a problem to a community of potential solvers. An online intermediary often manages the process. This study investigates the problem solving practices of solvers. In particular it focuses on the intermediation services and knowledge sources thy use during BS. A questionnaire was distributed to successful solvers. Ninety-three com...

Performance in dynamic complex problem task is affected by Cognitive Inflexibility. People are sometimes unable to adapt their strategies to the unexpected changes in their surroundings. This cognitive inflexibility only affects the person's execution when environmental changes are relevant for a particular problem solving strategy that people are using. This paper describes a new methodology t...

Flexible problem solving consists of the dynamic selection and connguration of problem solving methods for a particular problem type, depending on the particular problem and the goal of problem solving. In this paper, we propose an architecture that supports such exible problem solving automatically. For this purpose, problem solving methods are described in a uniform way, by an abstract model ...

This study examined the effect of the pace of transitioning from worked examples to independent problem solving for students with three different levels of prior knowledge. Three paces of transitioning were examined: immediate transitioning, fast fading, and slow fading. The study was conducted with engineering college freshmen in the engineering knowledge domain of introductory electrical circ...

In innovation projects, three sub-processes have to evolve concurrently. These are problem solving, to bring about a new product or process; internal innovation diffusion, to disseminate information and engender a positive attitude towards new developments; and change in the organization so that it may function successfully with new products or processes. The characteristics of these sub-proces...

The need for educational reform has led to much research documenting the value of experiential learning and creative problem solving to increase relevance and motivation in learning. Design, which may be succinctly defined as purposeful thought and action, can serve as a framework and catalyst for teaching and learning strategies that promote innovative, high end thinking, cooperative teamwork,...

To solve the real-world bioinformatics problems on grid, the integration of various analysis tools is necessary in addition to the implementation of basic tools. Workflow based problem solving environment on grid can be the efficient solution for this type of software development. Here we propose a model of simple problem solving environment that enables component based workflow design of integ...

We elaborate on the essential role of novel associations between recognized task patterns and invoked algorithmic schemes, during algorithmic problem solving. We display three algorithmic tasks of different levels of difficulty, and characterize them by their required pattern-scheme associations. We display diverse student solutions to the tasks, which reflect different levels of competence; an...

The Design to Criteria scheduler is a domain independent system that schedules complex AI problem solving tasks to meet real time performance goals In this paper we further extend the scheduler to more e ectively deal with uncertainty present in a schedule which can be critical in hard deadline or hard cost situations This is based on an analysis of available schedules that can be used to recov...