A text recommendation system helps language learners find suitable reading materials. Similar to graded readers, most systems assign difficulty levels or school grades to the documents in their database, and then identify the documents that best match the language proficiency of the learner. This graded approach has two main limitations. First,…

Recent advances in Artificial Intelligence (AI) have paved the way for the integration of text-based and voice-enabled chatbots as adaptive virtual tutors in education. Despite the increasing use of AI-powered chatbots in language learning, there is a lack of studies exploring the attitudes and perceptions of teachers and students towards these…

The needs for precisely estimating a student's academic performance have been emphasized with an increasing amount of attention paid to Intelligent Tutoring System (ITS). However, since labels for academic performance, such as test scores, are collected from outside of ITS, obtaining the labels is costly, leading to label-scarcity problem which…

Adaptive and intelligent instructional systems are used to deal with the issue of learning personalisation in contexts where human instructors are not immediately available, so their role is transferred entirely or in part onto the computer. Even though such systems are mostly developed for well-defined domains that have a rather straightforward…

The Pinyin Tutor has been used the past few years at over thirty institutions around the world to teach students to transcribe spoken Chinese phrases into Pinyin. Large amounts of data have been collected from this program on the types of errors students make on this task. We analyze these data to discover what makes this task difficult and use…

In theoretical cognitive science, there is a tension between highly structured models whose parameters have a direct psychological interpretation and highly complex, general-purpose models whose parameters and representations are difficult to interpret. The former typically provide more insight into cognition but the latter often perform better.…

This article builds on a previous article published in 2007, which aimed at clarifying the concept of tutoring. Based on a new epistemological stance (emergentism) the authors will here show how the various components of the computer-assisted language learning situation form a complex chaotic system. They advocate that modelling is a way of…

We present an intelligent tutoring system that lets students of Chinese learn words and grammatical constructions. It relies on a Bayesian, linguistically motivated cognitive model that represents the learner's knowledge. This model is dynamically updated given observations about the learner's behaviour in the exercises, and employed at runtime to…

This article both analyzes and synthesizes eleven articles from four volumes (eight issues) of the journal "Distances et Savoirs" published between 2003 and 2008. The authors of these articles present their research on several topics related to learners, learning, and tutoring in distance education while also working on innovation and access to…

Given complaints about preparation of international students for their writing-intensive courses, a director of first-year writing and an undergraduate researcher at a Midwestern research university conducted a needs assessment based on Kaufman's model. Instruments used included a survey, interviews, and analysis of commentary on sample papers.…

Student models for Intelligent Computer Assisted Language Learning (ICALL) have largely focused on the acquisition of grammatical structures. In this paper, we motivate a broader perspective of student models for ICALL that incorporates insights from current research on second language acquisition and language testing. We argue for a student model…

This paper is the result of a need to develop a conceptual framework for monitoring the learner in a computer-mediated language learning environment. In agreement with Chapelle, who suggests that technological capacities must be questioned in the terms of SLA theory, the position held here is that theory is needed even in the case of practical…

The Reading Rescue tutoring intervention model was investigated with 64 low-socioeconomic status, language-minority first graders with reading difficulties. School staff provided tutoring in phonological awareness, systematic phonics, vocabulary, fluency, and reading comprehension. Tutored students made significantly greater gains reading words…

Describes an algorithm for developing a domain knowledge base used in a Japanese language intelligent tutoring system. The domain knowledge represents a model of the expertise required of a student for proficiency in reading "katakana," a Japanese orthography. The algorithm described can generate a knowledge base of Japanese phonological…

Focuses on student modeling within an Intelligent Tutoring System. Describes three domain-independent properties that the formalism representing student knowledge and the processes synthesizing this knowledge must possess to build accurate student models for second-language learning. Notes when, how, and where hypothetical reasoning mechanisms…