Simulated speaking environments for language learning: insights from three cases

Sydorenko, Tetyana; Smits, Tom; Evanini, Keelan; Ramanarayanan, Vikram

doi:10.1080/09588221.2018.1466811

Cited by 19 publications

(13 citation statements)

References 39 publications

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“…The system could probably be classified as dialogue-based CALL, as defined by Bibauw, François & Desmet (2015), though its very limited scope makes it difficult to fit comfortably into any of their four categories. Indeed, many more sophisticated and capable systems have been developed (Xu & Seneff, 2009;van Doremalen, Boves, Colpaert, Cucchiarini, & Strik, 2016;Bodnar, Cucchiarini, Penning de Vries, Strik, & van Hout, 2017;Sydorenko, Smits, Evanini, & Ramanarayanan, 2018). However, a distinguishing point of the current system is that it is lightweight and can be freely obtained and deployed by anybody who has upload access to a website.…”

Section: Discussionmentioning

confidence: 99%

A freely-available system for browser-based Q&A practice in English, with speech recognition

O’Brien

2019

eurocall

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<p>A browser-based system to facilitate practice in asking and answering simple questions in English was developed. The user may ask or answer by speaking or typing and the computer’s output is in the form of speech and / or text. The types of questions handled and the permitted vocabulary are limited, though the vocabulary items may be edited freely. The system was well received in a small pilot study among Japanese students. It is freely available for download, and requires no technical expertise to deploy, just the facilities and ability to edit text files and upload to the internet.</p>

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Section: Discussionmentioning

confidence: 99%

A freely-available system for browser-based Q&A practice in English, with speech recognition

O’Brien

2019

eurocall

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“…This is crucial to allow for external evaluations and comparisons of systems. Very recent joint research efforts from academia and industry are showing, on this aspect, promising results (Sydorenko, Smits, Evanini & Ramanarayanan, 2018).…”

Section: Conclusion and Avenues For Researchmentioning

confidence: 99%

Discussing with a computer to practice a foreign language: research synthesis and conceptual framework of dialogue-based CALL

Bibauw

Thomas

Desmet

2019

Computer Assisted Language Learning

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This chapter presents the results of a systematic review of the literature on dialogue-based computer-assisted language learning (CALL), resulting in a conceptual framework for research on the matter. Applications allowing a learner to have a conversation in a foreign language with a computer have been studied from various perspectives and under different names (dialogue systems, conversational agents, chatbots...). Considering the fragmentation of what we identify under the term dialogue-based CALL, we attempt to offer a structured overview of these efforts into a conceptual framework. Through a methodical search strategy, we collected a corpus of 343 publications. From this corpus, we formalized an operational definition of dialogue-based CALL, which allowed us to identify 96 relevant systems. Analysing the type of dialogue they offer, on a continuum of constraints on form and meaning, we propose to classify those systems into four groups. We have called these branching, form-focused, goal-oriented and reactive systems, and we describe their corresponding interactional, instructional and technological traits. We summarise the main results from empirical studies on such systems, distinguishing observational, survey and experimental studies, and discuss the impact of dialogue-based CALL on motivation and L2 development, identifying positive evidence on both outcomes. Finally, we propose two main avenues for future research: relative effectiveness of dialogue-based CALL approaches, and dialogue systems as an environment for testing second language acquisition (SLA) hypotheses.

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“…The investigation of chatbot usage has also been carried out under the principles of the skill acquisition theory (Lyster & Sato, 2013), revealing that chatbots would be constructive tools for language learners thanks to their potential to provide structured oral practice (Sydorenko, Smits, Evanini & Ramanarayanan, 2019). Studies also sought to discover the potential of AI-powered chatbots for fostering oral interaction by raising awareness of specific L2 pragmatic structures based on Schmidt's (1995) noticing hypothesis (Timpe-Laughlin & Dombi, 2020).…”

Section: Theoretical Backgrounds In the Reviewed Studiesmentioning

confidence: 99%

The use of artificially intelligent chatbots in English language learning: A systematic meta-synthesis study of articles published between 2010 and 2024

Koç,

Savaş

2024

ReCALL

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In this qualitative systematic meta-synthesis study, 57 studies from the international literature published between 2010 and 2024 on the use of voice-based artificially intelligent chatbots in English language learning were analyzed. The present study aimed to explore the most recent studies on this topic by investigating the theoretical frameworks, methodological and technological properties, user reports of chatbot usage experience, and pedagogical implementations. It sought to identify research and implementation trends for voice-based chatbots via qualitative data analysis methods. Based on the reviewed studies, this paper presents data-based pedagogical implications that align with the latest voice-based AI chatbot research trends.

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Simulated speaking environments for language learning: insights from three cases

Cited by 19 publications

References 39 publications

A freely-available system for browser-based Q&A practice in English, with speech recognition

A freely-available system for browser-based Q&A practice in English, with speech recognition

Discussing with a computer to practice a foreign language: research synthesis and conceptual framework of dialogue-based CALL

The use of artificially intelligent chatbots in English language learning: A systematic meta-synthesis study of articles published between 2010 and 2024

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