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Ruiz Hernández, Simón Eduardo

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https://academica-e.unavarra.es/handle/2454/51584

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Ruiz Hernández

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Simón Eduardo

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Ciencias Humanas y de la Educación

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0000-0003-2501-0486

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1173693

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812976

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    A systematic methodological review of offline input processing research
    (Routledge, 2024) Ruiz Hernández, Simón Eduardo; Rebuschat, Patrick; Ciencias humanas y de la educación; Giza eta Hezkuntza Zientziak
    Research on input processing (IP) examines how second language (L2) learners process the language they encounter in oral or written input, seeking to understand the psycholinguistic principles that guide L2 comprehension and their impact on subsequent acquisition processes. Much of this research involves applying insights from VanPatten¿s (1996, 2004, 2020) IP model for the development of more effective pedagogical interventions (processing instruction [PI]). Here, we systematically review and discuss the methodology used in research that either tested the IP model or assessed the effectiveness of PI. Our analysis includes 108 empirical studies that used offline measures of learning (i.e., measuring comprehension after input exposure). We first present the general characteristics of this type of research and then describe key methodological features of IP studies in depth. We conclude with methodological recommendations and suggestions for future research on IP and PI. We hope to provide readers with a better understanding of the strengths and weaknesses of existing research in the hope of contributing to methodological improvements of future research.
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    PublicationOpen Access
    Supporting individualized practice through Intelligent CALL
    (Routledge, 2024) Ruiz Hernández, Simón Eduardo; Rebuschat, Patrick; Meurers, Detmar; Ciencias humanas y de la educación; Giza eta Hezkuntza Zientziak
    Intelligent CALL (ICALL) adds methods from Artificial Intelligence (AI) to explicitly model learners and the target language, to analyze the language that learners produce as well as learning materials. This chapter contributes to a better understanding of how ICALL can promote second language (L2) acquisition and how it can also serve as an effective research tool to investigate instructed L2 acquisition. It illustrates how ICALL systems enable second language acquisition (SLA) researchers to obtain ecologically valid insights into the interaction of a substantial number of parameters that research on aptitude-treatment interactions has identified as important for learning. The chapter argues that ICALL systems provide a unique opportunity for SLA research given that they support large-scale studies of learning in authentic education contexts and the use of learning analytics to explore and conduct fine-grained analyses of learning processes and outcomes.