32,679 research outputs found

    Developing cross‐cultural communicative competence via computer‐assisted language learning: The case of pre‐service ESL/EFL teachers

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    Based on a qualitative research project, this article presents a view on the use of computer technology to develop a critical cross‐cultural communicative competence in English as a Second Language (ESL) / English as a Foreign Language (EFL) for pre‐service teachers. The article includes a brief critical theoretical framework, some classroom pedagogical implications, and a data‐based discussion of pre‐service teachers’ views. These views included: (1) critical views and an awareness of cultural power relations in computer‐assisted language learning (CALL), (2) uncritical views and a lack of awareness of cultural power relations in CALL, and (3) uses of metaphors in CALL. The powerful contribution of CALL can be found in its potential for providing ways to connect people and build communities, for offering opportunities for cross‐cultural communicative competence to be developed and used, and for improving processes of democratization via computer‐mediated communication. However, a socio‐cultural criticism revealed that this powerful tool, like any other media, is non‐neutral because it can serve to reinforce further the hegemonic aspects of education, that is, the dominant culture will be strengthened and protected via computer technology. Computer‐based technologies and software are increasingly incorporated into the curricula of ESLIEFL teacher education programmes. However, this integration is often done in ways that seem to leave unquestioned the potential cultural and hegemonic ramifications of such technology. Hence there is a need for a more critical technological competence

    Preparing teachers for the application of AI-powered technologies in foreign language education

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    As any other area of human lives, current state of foreign language education has been greatly influenced by the latest developments in the modern information communication technologies. The paper focuses specifically on the incorporation of artificial intelligence (AI), which includes a wide range of technologies and methods, such as machine learning, adaptive learning, natural language processing, data mining, crowdsourcing, neural networks or an algorithm, into foreign language learning and teaching. First, the paper is concerned with changes brought to foreign language education specifically through the application of AI-powered tools and discusses ICALL (intelligent computer assisted language learning) as a subset of CALL. Second, it summarizes eight types of AI-powered tools for foreign language education and related results of the existing research, however scarce it is. Third, it discusses the frame for effective preparation of foreign language teachers in order to integrate AI-powered tools into their teaching to make it easier, less time-consuming and more effective. The author argues for reconsideration of the existing frames of requirements for CALL teachers.[KEGA 001TTU-4/2019

    Learning cultures on the move: where are we heading?

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    The paper analyzes the globally recognized cultural move towards a more learner-centred education and discusses the implications for the adoption of mobile technologies and design for learning. Current expectations vis-à-vis learner attributes, skills and competences are explored. The pervasiveness of mobile technologies is precipitating these developments, whilst also generating a distinct mobile culture where learners take mobility and context-awareness as starting points and become more visible as innovators, creators and producers. Language learning, one of the most popular application areas of mobile learning, provides fertile ground for the growth of this phenomenon. The paper reviews several innovative language learning applications and concludes by indicating the directions in which we are heading

    LLTI Highlights

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    New Trends in Second Language Learning and Teaching through the lens of ICT, Networked Learning, and Artificial Intelligence

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    In the last few decades, Information and Communications Technology (ICT) applications have been shaping the field of Computer Assisted Language Learning (CALL). Mobile Assisted Language Learning (MALL) paved the way for ubiquitous learning. The advent of new technologies in the early 21st century also added a social dimension to ICT that allowed for Networked Learning (NL). Given that language learning is fundamentally a socio-cultural experience, networked learning capabilities have provided the potential for language learning in community settings. This has revitalized the earlier frameworks provided by CALL. NL has empowered language learners today to connect globally, to access Open Educational Resources, and to self-regulate their learning processes beyond the scope of traditional curricula. In parallel, the rising pervasiveness of Artificial Intelligence (AI) applications and their relevance to language learning has led CALL to branch out into Intelligent CALL (ICALL). The first section of this article provides a brief historical overview of CALL, examines it through the lens of ICT, networked learning, and open access. The second section focuses on the implications of AI for creating new trends in second language education, the challenge for providing customization at scale, and raises important issues related to transparency and privacy for future research
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