The book covers in an integrated fashion the complete route from corporate knowledge management, through knowledge analysis andengineering, to the design and implementation of knowledge-intensiveinformation systems. The disciplines of knowledge engineering and knowledge management are closely tied. Knowledge engineering deals with the development of information systems in which knowledge and reasoning play pivotal roles. Knowledge management, a newly developed field at the intersection of computer science and management, deals with knowledge as a key resource in modern organizations. Managing knowledge within an organization is inconceivable without the use of advanced information systems; the design and implementation of such systems pose great organization as well as technical challenges. The book covers in an integrated fashion the complete route from corporate knowledge management, through knowledge analysis and engineering, to the design and implementation of knowledge-intensive information systems. The CommonKADS methodology, developed over the last decade by an industry-university consortium led by the authors, is used throughout the book. CommonKADS makes as much use as possible of the new UML notation standard. Beyond information systems applications, all software engineering and computer systems projects in which knowledge plays an important role stand to benefit from the CommonKADS methodology.

Inquiry learning is an effective learning approach if learners are properly guided. Its effectiveness depends on learners' prior knowledge, the domain, and their relationship. In a previous study we developed an Experiment Design Tool (EDT) guiding learners in designing experiments. The EDT significantly benefited low prior knowledge learners. For the current study the EDT was refined to also serve higher prior knowledge learners. Two versions were created; the "Constrained EDT" required learners to design minimally three experimental trials and apply CVS before they could conduct their experiment, and the "Open EDT" allowed learners to design as many trials as they wanted, and vary more than one variable. Three conditions were compared in terms of learning gains for learners having distinct levels of prior knowledge. Participants designed and conducted experiments within an online learning environment that (1) did not include an EDT, (2) included the Constrained EDT, or (3) included the Open EDT. Results indicated low prior knowledge learners to benefit most from the Constrained EDT (non-significant), low-intermediate prior knowledge learners from the Open EDT (significant), and high-intermediate prior knowledge learners from no EDT (non-significant). We advocate guidance to be configurable to serve learners with varying levels of prior knowledge.

New societal demands call for schools to train students' collaboration skills. However, research thus far has focused mainly on promoting collaboration to facilitate knowledge acquisition and has rarely provided insight into how to train students' collaboration skills. This study demonstrates the positive effects on the quality of students' collaboration and their knowledge acquisition of an instructional approach that consists of conventional instruction and an online tool that fosters students' joint reflection on their collaborative behavior by employing self-and peer assessment and goal setting. Both the instruction and the collaboration reflection tool were designed to promote students' awareness of effective collaboration characteristics (the RIDE rules) and their own collaborative behavior. First-year technical vocational students (N = 198, M age = 17.7 years) worked in heterogeneous triads in a computer-supported collaborative learning environment (CSCL) on topics concerning electricity. They received either 1) conventional instruction about collaboration and the online collaboration reflection tool, 2) collaboration instruction only, or 3) no collaboration instruction and no tool. Analysis of chat data (n = 92) and knowledge tests (n = 87) showed that students from the instruction with tool condition outperformed the other students as far as their collaborative behavior and their domain knowledge gains.

Abstract. We present a structured language for the specification of knowledge models according to the CommonKADS methodology. This language is called CML (Conceptual Modelling Language) and provides both a structured textual notation and a diagrammatic notation for expertise models. The use of our CML is illustrated by a variety of examples taken from the VT elevator design system.

We describe the approach AIDAS uses to extract the logical document structure from PDF documents. The approach is based on the idea that the layout structure contains cues about the logical structure and that the logical structure can be discovered incrementally.