This paper presents DP 1, an incremental clustering algorithm that accepts a description of the expected performance task -the goal of learning -and uses that description to alter its learning bias. With different goals DP1 addresses a wide range of empirical learning tasks from supervised to unsupervised learning. At one extreme, DP1 performs the same task as does ID3, and at the other, it per...

A new algorithm for learning one-variable pattern languages from positive data is proposed and analyzed with respect to its average-case behavior. We consider the total learning time that takes into account all operations till convergence to a correct hypothesis is achieved. For almost all meaningful distributions deening how the pattern variable is replaced by a string to generate random examp...

This paper describes a method for learner modelling for use within simulation-based learning environments. The goal of the learner modelling system is to provide the learner with advice on discovery learning. The system analyzes the evidence that a learner has generated for a specific hypothesis, assesses whether the learner needs support on the discovery process, and the nature of that support...

Learner preferences of students have been analysed within two modules that have been given in the department of media using Röll’s learner preference model. A qualitative analysis of the results of an online learner preference test based on this model has been conducted. This analysis showed that for the majority of the students the revealed results were valid. Starting from current methods use...

A pattern is a string of constant and variable symbols. The language generated by a pattern is the set of all strings of constant symbols which can be obtained from by substituting non-empty strings for variables. We study the learnability of one-variable pattern languages in the limit with respect to the update time needed for computing a new single guess and the expected total learning time t...

A pattern is a string of constant and variable symbols. The language generated by a pattern π is the set of all strings of constant symbols which can be obtained from π by substituting non-empty strings for variables. We study the learnability of one-variable pattern languages in the limit with respect to the update time needed for computing a new single guess and the expected total learning ti...

A pattern is a string of constant and variable symbols. The language generated by a pattern is the set of all strings of constant symbols which can be obtained from by substituting non-empty strings for variables. We study the learnability of one-variable pattern languages in the limit with respect to the update time needed for computing a new single guess and the expected total learning time t...

Among the many studies focusing on the effect of learner and instructional variables on learning outcomes, few studies have investigated the effect of these variables and their mediating mechanisms influencing students’ learning within a blended learning environment. This study examined the influence of instructional and learner variables on learning outcomes for a blended instruction course of...

This paper discusses a data-driven learning (DDL) tool, which consists of a learner corpus for L2 learners of German. The learner corpus, in addition to submissions from ongoing current users, has been constructed from millions of submissions from a variety of activity types of approximately 5000 learners who used the E-Tutor CALL system over a period of five years. By following a cyclical proc...