Although information technology (IT) is used extensively in the education of all disciplines, the computing-related fields are facing tremendous challenges, such as declining student enrollment and a lack of representation from minorities and women. Strengthening the connection between computing and other fields could help instructors to integrate IT in their teaching and to support the learnin...

Recently, a new theory emerged in the field of Second Generation Knowledge Management. This theory is labeled ‘New Knowledge Management’ and was introduced by McElroy (2003). The theory is new to the extent that it brings together several known concepts concerning knowledge management in a unique combination. In its essence, the theory consists of fourteen policies that organizations should app...

This paper examines differences in educational attainment between natives and children of immigrants to Canada. We introduce two definitions of secondgeneration immigrants: The first considers all children with at least one immigrant parent to be second-generation immigrants, while the second definition requires that both parents were foreign-born. In the data, regardless of which definition we...

In this paper from the Xiangshang Forum 2006 we propose the Wisdom project, an international network initiative on developing the next generation of management and entrepreneurial systems based on knowledge and wisdom rather than data and information. This is a major challenge especially for China which must aspire to become wise and ethical rather than just efficient or effective. Major topics...

Knowledge space theory (Doignon & Falmagne, 1985; Albert & Lukas, 1999; Doignon & Falmagne, 1999) offers a rigorous and efficient formal framework for the construction, validation, and application of eassessment and e-learning adaptive systems. This theory is at the basis of some existing e-learning and e-assessment adaptive systems in the U.S. and in Europe. Such systems are based on a fixed a...

In this paper, we describe the range of sentences that we synthesize from a knowledge base (KB) using a natural language generation (NLG) system. We give an overview of our NLG system, and then focus on the specific challenge in handling overly general classes such as Tangible-Entity and Physical-Object. Such classes are unavoidable in the KB, and it is undesirable to show them in an output for...