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EuroCALL 2023: CALL for all Languages: Enviados recientemente

Mostrando ítems 31-35 de 55

Persian FLAIR: grammatically intelligent web search for language learning

Bartholomeusz, Evan; Reynolds, Robert (Editorial Universitat Politècnica de València, 2024-02-12)

[EN] We describe our work on the development of a new Persian module for FLAIR, a Java-based grammatically intelligent web search engine (Chinkina et al., 2016; Chinkina & Meurers, 2016). This website allows Persian teachers ...
Enhancing university EFL students’ informal reasoning on the social scientific issues related to sustainable development goals by adopting a collaborative argumentation CALL environment

Wang, Li-Jen (Editorial Universitat Politècnica de València, 2024-02-12)

[EN] In the 21st century, educators need to develop students' argumentation skills for addressing Social Scientific Issues (SSIs). The Sustainable Development Goals (SDGs) proposed by the United Nations (UN) align well ...
Language teacher training in CALL: fostering engagement in an online learning environment

Carloni, Giovanna (Editorial Universitat Politècnica de València, 2024-02-12)

[EN] The present study aims to investigate how effective pre-service language teachers perceived the engagement fostered in an online language pedagogy course. The course was targeted at developing pre-service language ...
Making ICALL’s intelligence accessible and understandable: evaluation, validation, and future directions of ICALL ecosystems

Degraeuwe, Jasper; Goethals, Patrick (Editorial Universitat Politècnica de València, 2024-02-12)

[EN] In this paper, we will reflect upon the revised and expanded version of the Intelligent Computer-Assisted Language Learning (ICALL) ecosystem developed in Degraeuwe and Goethals (2022a). We portray the upgraded version ...
Exploring users’ perceptions of ASR for writing narrative texts

Mehdipour-Kolour, Danial; Cardoso, Walcir (Editorial Universitat Politècnica de València, 2024-02-12)

[EN] This study examines how users perceive Automatic Speech Recognition (ASR) as a tool for writing narrative texts, and compares the perceptions of two groups of users: native and non-native English writers. As such, ...