A review of opportunities and challenges of chatbots in education

GJ Hwang, CY Chang - Interactive Learning Environments, 2023 - Taylor & Francis
This study explores the trends of chatbots in education studies by conducting a literature
review to analyze relevant papers published in the Social Science Citation Index (SSCI) …

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

S Bibauw, T François, P Desmet - Computer Assisted Language …, 2019 - Taylor & Francis
This article presents the results of a systematic review of the literature on dialogue-based
CALL, resulting in a conceptual framework for research on the matter. Applications allowing …

[PDF][PDF] Automatic error detection in pronunciation training: Where we are and where we need to go

SM Witt - International Symposium on automatic detection on …, 2012 - researchgate.net
This paper discusses the state of the art of research in computer assisted pronunciation
teaching as of early 2012. A discussion of all major components contributing to …

Using AR filters in L2 pronunciation training: Practice, perfection, and willingness to share

J Zhu, X Zhang, J Li - Computer Assisted Language Learning, 2024 - Taylor & Francis
Traditional L2 pronunciation teaching puts too much emphasis on explicit phonological
knowledge ('knowing that') rather than on procedural knowledge ('knowing how'). The …

Improving non-native mispronunciation detection and enriching diagnostic feedback with DNN-based speech attribute modeling

W Li, SM Siniscalchi, NF Chen… - 2016 IEEE international …, 2016 - ieeexplore.ieee.org
We propose the use of speech attributes, such as voicing and aspiration, to address two key
research issues in computer assisted pronunciation training (CAPT) for L2 learners, namely …

End-to-end automatic pronunciation error detection based on improved hybrid ctc/attention architecture

L Zhang, Z Zhao, C Ma, L Shan, H Sun, L Jiang… - Sensors, 2020 - mdpi.com
Advanced automatic pronunciation error detection (APED) algorithms are usually based on
state-of-the-art automatic speech recognition (ASR) techniques. With the development of …

Dialogue systems for language learning: Chatbots and beyond

S Bibauw, T François, P Desmet - The Routledge handbook of …, 2022 - api.taylorfrancis.com
Research in second language acquisition has long stressed the importance of meaningful
practice in the target language (Gass & Mackey, 2015). However, foreign language learners …

Evaluating a computer-assisted pronunciation training (CAPT) technique for efficient classroom instruction

B Luo - Computer assisted language learning, 2016 - Taylor & Francis
This study investigates a computer-assisted pronunciation training (CAPT) technique that
combines oral reading with peer review to improve pronunciation of Taiwanese English …

Articulatory distinctiveness of vowels and consonants: A data-driven approach

Purpose To quantify the articulatory distinctiveness of 8 major English vowels and 11
English consonants based on tongue and lip movement time series data using a data-driven …

Trends and directions in computer-assisted pronunciation training

J Fouz-González - Investigating English pronunciation: Trends and …, 2015 - Springer
The wide range of tools and applications available today offer promising solutions for the
facilitation of pronunciation training, one of the most challenging and often neglected areas …