Automating the classification of instructional strategies from a large-scale online tutorial dialogue corpus is indispensable to the design of dialogue-based intelligent tutoring systems. Despite many existing studies employing supervised machine learning (ML) models to automate the classification process, they concluded that building a…

Exploring the ways to develop a comprehensive learner-friendly telecollaborative model of learning led to the introduction of nonlinear dynamic motivation-oriented model. To foster self-regulated learner autonomy, the model aims at recruiting the potential behind formulaic sequences for L2 comprehension-production in response to immediate…

This paper discusses a model for structuring resources for automatic assessment in scientific education by means of textual descriptions. This study aims to support instructors in extending teaching strategies and expanding formative assessment in virtual communities of practice. The strategy to achieve these goals involves the implementation of a…

Archived transcripts from tens of millions of online human tutoring sessions potentially contain important knowledge about how online tutors help, or fail to help, students learn. However, without ways of automatically analyzing these large corpora, any knowledge in this data will remain buried. One way to approach this issue is to train an…

This study builds upon previous work aimed at developing a student model of reading comprehension ability within the intelligent tutoring system, iSTART. Currently, the system evaluates students' self-explanation performance using a local, sentence-level algorithm and does not adapt content based on reading ability. The current study leverages…

In textbooks, foreign (second) language reading proficiency is often evaluated through comprehension questions. In case, authentic texts are used as reading material, such questions should be prepared by teachers. However, preparing appropriate questions may be a very demanding task for teachers. This paper introduces a method for automatically…

In this paper we discuss how the Brigham Young University Technology Assisted Language Learning Group (BYU TALL Group) develops video-based dramatic narratives to increase the amount of context we provide to English as a second language (ESL) learners. First, we discuss the problem of decontextualization in education, the contextualism…

This paper presents three studies which examine the susceptibility of sentence comprehension to intrusion by extra-sentential probe words in two on-line dual-task techniques commonly used to study sentence processing: the cross-modal lexical priming paradigm and the unimodal all-visual lexical priming paradigm. It provides both a general review…

Explores the relevance and usefulness of a new paradigm, variously named connectionism or parallel distributed processing, involving the application of the computer sciences, to the teaching of foreign languages. (53 references) (CB)

Presents the rationale behind a model for the use of the computer in the development of reading comprehension. Basic assumptions concerning reading are delineated. The model has three basic components: intake (text processing and text comprehension), personalization, and extension. (Author/SED)

Methods and approaches used at the U.S. Army Research Institute to investigate intelligent computer-assisted foreign language instruction are discussed. The research described explores the use of hypertext and natural language processing for improving language training by articulating student knowledge structures and for providing, incidentally, a…

An ITS (Intelligent Tutoring System) is a teaching-learning medium that uses artificial intelligence (AI) technology for instruction. Roberts and Park (1983) defines AI as the attempt to get computers to perform tasks that if performed by a human-being, intelligence would be required to perform the task. The design of an ITS comprises two distinct…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…