The field of topic modeling has become increasingly important over the past few years. Topic modeling is an unsupervised machine learning way to organize text (or image or DNA, etc.) information such that related pieces of text can be identified. This paper/session will present/discuss the current state of topic modeling, why it is important, and…

This edited collection presents a selection of contributions made to the 13th eLearning Symposium, held at the University of Southampton, in January 2020. Our theme was 'Education 4.0 revolution: transformative approaches to language teaching and learning, assessment, and campus design', and attendees engaged in rich discussions around the…

Maps such as concept maps and knowledge maps are often used as learning materials. These maps have nodes and links, nodes as key concepts and links as relationships between key concepts. From a map, the user can recognize the important concepts and the relationships between them. To build concept or knowledge maps, domain experts are needed.…

Research related to online discussions frequently faces the problem of analyzing huge corpora. Natural Language Processing (NLP) technologies may allow automating this analysis. However, the state-of-the-art in machine learning and text mining approaches yields models that do not transfer well between corpora related to different topics. Also,…

This paper reports on the development of a prototype tool which shows how learners can be helped to reflect upon the accuracy of their writing. Analysis of samples of freely written texts by intermediate and advanced learners of English as a foreign language (EFL) showed evidence of weakness in the use of tense and aspect. Computational discourse…

The present paper shows the first results of a linguistic project devoted to the construction of web learning tools for reinforcing sensitivity to diaphasic varieties and for learning style variation in L2/LS learning. (Contains 1 figure and 1 footnote.) [Support for this research was provided by the VALERE Project.]

In this study, the researchers attempted to extend the concept of learning companions from the virtual world to the real physical environment and made a breakthrough in technique development of tangible learning robots. The aim of this study was to explore an innovative way by combining the speech recognition technology with educational robots in…

Students with physical disabilities often have difficulty with writing fluency, despite the use of various strategies, adaptations, and assistive technology (AT). One possible intervention is the use of speech recognition software, although there is little research on its impact on students with physical disabilities. This study used an…

The aim of this study is to make a new attempt to explore the potential of integrating game strategies with automatic speech recognition technologies to provide learners with individual opportunities for English pronunciation learning. The study developed the Game Embedded CALL (GeCALL) system with two activities for on-line speaking practice. For…

The few studies that deal with machine translation (MT) as a language learning tool focus on its use by advanced learners, never by beginners. Yet, freely available MT engines (i.e. Google Translate) and MT-related web initiatives (i.e. Gabble-on.com) position themselves to cater precisely to the needs of learners with a limited command of a…

Direct corpus use by learners or learner concordancing has been hailed as one of the promising areas that can revolutionize L2 writing and language pedagogy as a whole ([Conrad, 2000] and [Hyland, 2003]). It has been discussed to promote data-driven learning (Johns, 1988), to provide authentic contexts in which linguistic items are used, and to…

This study investigates the potential of a software tool based on Latent Semantic Analysis (LSA; Landauer, McNamara, Dennis, & Kintsch, 2007) to automatically evaluate complex German texts. A sample of N = 94 German university students provided written answers to questions that involved a high amount of analytical reasoning and evaluation.…

The field of distance education is composed of a multiplicity of topics leading to a vast array of research literature. However, the research does not provide a chronological picture of the topics it addresses, making it difficult to develop an overview of the evolution and trends in the literature. To address this issue, a co-word analysis was…

Within the context of on-going research, this paper explores the pedagogical implications of contrastive analyses of multiword units in English and Spanish based on electronic corpora as a CALL resource. The main tenets of collocations from a contrastive perspective--and the points of contact and departure between both languages--are discussed…

This book highlights the potential and the challenges of corpora in language education with a particular focus on the teacher's perspective. For this purpose, the study explores the relevance of the corpus approach to central paradigms underlying contemporary language education. Furthermore, a critical analysis investigates the persisting gap…