This paper considers the experiences of teaching on a module where problem-solving is taught first, then programming. The main tools for the problem-solving part, alongside two problem-solving approaches, are tasks using Mindstorm (LEGO, Denmark) robot kits. This is being done as a foundation step before the syntax of a language (Java) is taught to enable a Graphical User Interface (GUI) emulat...

Learning complex behavior in real robot scenarios is a challenging problem that requires solving several tasks simultaneously. Traditional reinforcement learning techniques, however, often favor experiments with a single challenge. Although such experiments are well suited for examining the performance and robustness of learning algorithms they may omit difficulties that may occur in combined t...

Soar is an architecture for intelligence that integrates learning into all of its problem-solving behavior. The learning mechanism, chunking, has been studied experimentally in a broad range of tasks and situations. This paper summarizes the research on chunking in Soar, covering the effects of chunking in different tasks, task-independent applications of chunking and our theoretical analyses o...

Problem-solving skills are of paramount importance in university education, and they used as some the salient parameters to gauge learning outcomes. In this vein, quasi-experimental study seeks assess evaluate relationship between writing tasks that college students perform class their higher-order thinking such critical problem-solving (PS) skills. The chief concern article is find out what ex...