Dialogue-based CALL

Dialogue-based Computer-Assisted Language Learning (CALL), i.e. dialogue systems, chatbots and conversational agents for language learning.

Here is a list of publications and talks on this topic:

Dialogue systems for language learning: a meta-analysis

A meta-analysis of effectiveness studies on dialogue-based CALL, based on 17 studies and $k = 100$ individual effect sizes. We use Morris and DeShon's (2002) formulas to compute comparable effect sizes across designs, and analyse them through a multilevel random-effects model. Results confirm that dialogue-based CALL practice has a significant medium effect size on L2 proficiency development ($d = 0.59$). Extensive moderator analyses on several learning outcomes of different types and features of dialogue-based CALL (type of interaction, modality, agent embodiment, etc.) confirm the effectiveness of form-focused and goal-oriented systems, system-guided interactions, corrective feedback provision, and gamification features. Significant effects for lower proficiency learners, and on vocabulary, morphosyntax, holistic proficiency and accuracy are established.

Desarrollo de la fluidez oral en lengua extranjera: experimento de medición semiautomática de los efectos de aprendizaje

Preguntas de investigación ¿En qué medida es posible medir de manera valida, confiable y precisa efectos de aprendizaje de corta duración en lengua extranjera en términos de fluidez oral de manera semiautomática?

Systèmes de dialogue pour l'apprentissage des langues : typologie des systèmes et mesure des effets

Les systèmes de dialogue pour l’apprentissage des langues regroupent différentes applications permettant à un apprenant de langue étrangère de converser, oralement ou par écrit, avec un interlocuteur automatisé (chatbot, robot, interface vocale, personnage non-joueur, etc.

Interactivity in dialogue-based CALL practice: effects on learners perceptions and production

Introduction Dialogue-based computer-assisted language learning (CALL) allows a learner to practice an L2 by discussing with a computer. By offering a fully controllable meaning-focused learning environment, it also allows investigating the effectiveness of different modalities of interaction (Bibauw et al, 2019).

Effects of interactivity of written practice on incidental vocabulary

Abstract (as submitted in February 2019) Dialogue-based computer-assisted language learning (CALL) allows a learner to practice an L2 by discussing with a computer. By offering a fully controllable meaning-focused learning environment, it also allows to conduct research on the effectiveness of different modalities of interaction.

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

This article presents the results of a systematic review of the literature on dialogue-based CALL. Applications allowing a learner to have a conversation in a foreign language with a computer have been studied under different traditions (*intelligent tutoring systems*, *dialogue systems*, *conversational agents*, *chatbots*...). We attempt to offer a structured overview of these efforts into a conceptual framework, including an **operational definition** of dialogue-based CALL and a **typology of systems** (4 types: narrative, form-focused, goal-oriented and reactive systems) and types of dialogue, with their corresponding interactional, instructional and technological traits. We summarize the main results from empirical studies on such systems, and discuss the impact of dialogue-based CALL on motivation and L2 development.

Dialogue-based CALL: a multilevel meta-analysis

Dialogue-based computer-assisted language learning systems allow a learner to practice meaningfully an L2 with an automated agent, whether through an oral (spoken dialogue systems) or written interface (chatbots) (Bibauw, François, & Desmet, 2015).

Dialogue-based CALL: a multilevel meta-analysis

Dialogue-based CALL systems allow a learner to practice meaningfully an L2 with an automated agent, through an oral (spoken dialogue systems) or written interface (chatbots) (Bibauw, François, & Desmet, 2015). In order to obtain a better …

Insights from a multilevel meta-analysis on the effectiveness of dialogue-based CALL

Abstract of the research methods and results Dialogue-based computer-assisted language learning (CALL) systems allow a learner to practice meaningfully a foreign language (L2) with an automated agent, whether through an oral (spoken dialogue systems) or written interface (chatbots) ( Bibauw, François, & Desmet, 2015).

“Hey Siri, can I learn English by talking to you?” A meta-analysis of dialogue-based CALL