Most people know that the Pacific is the largest ocean on Earth and that Edison invented the light bulb. Our question is whether this knowledge is stable, or if people will incorporate errors into their knowledge bases, even if they have the correct knowledge stored in memory. To test this, we asked participants general-knowledge questions 2 weeks before they read stories that contained errors ...

One factor that affects the rate of knowledge base construction is the availability and reuse of prior knowledge in ontologies and domain-specific knowledge bases. This paper reports an empirical study of reuse performed in the first year of the High Performance Knowledge Bases (HPKB) initiative. The study shows that some kinds of prior knowledge help more than others, and that several factors ...

Four media, Lowenstein-Jensen, Middlebrook, Petragnani, and ribonucleic acid, were tested for comparative ability to detect Mycobacterium tuberculosis. Specimens used included sputum, urine, tissue, and gastric washings. Three types of comparison were used: (i) comparison derived from randomized specimens; (ii) comparison of cultures from newly diagnosed cases that had received no prior therapy...

Students’ prior knowledge may affect their learning of content in a compulsory Indigenous Studies course. Notably, non-Indigenous pre-service teachers’ bring conceptions and misconceptions to formal education, potentially influencing engagement with and/or resistance concepts affecting manifestation future classroom practices. Indeed, learning, unlearning, relearning often occur courses. Accord...

Intelligent behavior of adaptive educational systems is based on student models. Most research in student modeling focuses on student learning (acquisition of skills). We focus on prior knowledge, which gets much less attention in modeling and yet can be highly varied and have important consequences for the use of educational systems. We describe several models for prior knowledge estimation – ...

One important challenge in data mining is to extract interesting knowledge and useful information for expert users. Since data mining algorithms extracts a huge quantity of patterns it is therefore necessary to filter out those patterns using various measures. This paper presents IMAK, a part-way interestingness measure between objective and subjective measure, which evaluates patterns consider...

Recent research has highlighted the ability of adults as well as infants to learn word-to-world mappings over the course of statistical occurrences containing within-trial ambiguity. Participants in these studies are unfamiliar with all words and referents at the onset of these experiments, which differs from real-life word learning experience, in which learners are unlikely to enter a situatio...