Estimating the difficulty level of math word problems is an important task for many educational applications. Identification of relevant and irrelevant sentences in math word problems is an important step for calculating the difficulty levels of such problems. This paper addresses a novel application of text categorization to identify two types of…

Learnability theory involves the construction of formal mathematical proofs whose goal is to demonstrate how the child can successfully induce a mature grammar. An empirically adequate learnability proof constitutes a detailed hypothesis concerning the boundary conditions within which acquisition proceeds and can provide a general framework for…

Investigates the related characteristics of asynchronous learning material used for distance education and Web-based instruction and proposes a material characteristics model. Discusses the relationship among the degree of difficulty of the material, student characteristics, and student abilities; social factors; suitability of teaching materials…

Discussion of the use of Latent Semantic Indexing to determine relevancy in information retrieval focuses on statistical regression and Bayesian methods. Topics include keyword searching; a multiple regression model; how the regression model can aid search methods; and limitations of this approach, including complexity, linearity, and…

"Item models" (LaDuca, Staples, Templeton, & Holzman, 1986) are classes from which it is possible to generate/produce items that are equivalent/isomorphic to other items from the same model (e.g., Bejar, 1996; Bejar, 2002). They have the potential to produce large number of high-quality items at reduced cost. This paper introduces…