Android App Development for Teaching Reduced Forms of EFL Listening Comprehension to Decrease Cognitive Load

Yeh, Hsin-Yu; Tsai, Yu-Tzu; Chang, Chih‐Kai

doi:10.1109/eitt.2017.82

Cited by 3 publications

(3 citation statements)

References 6 publications

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“…There are some emerging technical works on helping L2 learners' perception of reduced forms. For example, (Yeh et al, 2017) reports on an Android App to use authentic native connected speeches as material to teach.…”

Section: Previous Researchmentioning

confidence: 99%

“…English as a second language (ESL) teachers have realized the importance of specially training L2 learners on understanding reduced form pronunciations to improve their listening comprehension skills. (Yeh et al, 2017) is such an effort of designing an app to train students accordingly. Compared to the emphasis on reduced forms when training the listening comprehension skills, the effort on training the specific skills on the production of reduced forms is still limited.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Automatically Detecting Reduced-formed English Pronunciations by Using Deep Learning

Chen¹,

Jiang²,

Gu³

et al. 2022

Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022)

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Reduced form pronunciations are widely used by native English speakers, especially in casual conversations. Second language (L2) learners have difficulty in processing reduced form pronunciations in listening comprehension and face challenges in production too. Meanwhile, training applications dedicated to reduced forms are still few. To solve this issue, we report on our first effort of using deep learning to evaluate L2 learners' reduced form pronunciations. Compared with a baseline solution that uses an ASR to determine regular or reduced-formed pronunciations, a classifier that learns representative features via a convolution neural network (CNN) on low-level acoustic features, yields higher detection performance. F-1 metric has been increased from 0.690 to 0.757 on the reduction task. Furthermore, adding word entities to compute attention weights to better adjust the features learned by the CNN model helps increasing F-1 to 0.763.

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Section: Previous Researchmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Automatically Detecting Reduced-formed English Pronunciations by Using Deep Learning

Chen¹,

Jiang²,

Gu³

et al. 2022

Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022)

View full text Add to dashboard Cite

show abstract

“…Teaching English as a Foreign Language in the era of globalization demands a big effort since the ability to communicate in English has become one of the most important skills to be developed by learners [1]. In this context, [2] remark that grammar and vocabulary constitute fundamental areas in language instruction.…”

Section: Introductionmentioning

confidence: 99%

Using Digital Games for Enhancing EFL Grammar and Vocabulary in Higher Education

Castillo-Cuesta

2020

Int. J. Emerg. Technol. Learn.

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The purpose of this study is to analyze the use of digital games to enhance English as a Foreign Language (EFL) grammar and vocabulary in the English Major of Universidad Técnica Particular de Loja, in southern Ecuador. A total of 68 students from B1 level, according to the Common European Frame-work of Reference for Languages (CEFR), participated in this study. All the par-ticipants were enrolled in two different classes of a Communicative Grammar course. A mixed-method approach was used to collect and analyze data in this study. Pre and post-questionnaires as well as writing rubrics were applied as in-struments. Digital games were implemented throughout an academic term of 5 months in which students received permanent feedback. The results show that digital games were useful to improve learners´ grammar in aspects concerning the use of modals, gerunds, and infinitives; also, students showed an improvement in their vocabulary knowledge, especially in topics related to jobs and education.

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An Analysis of the Pragmatic Function of English Intonation Based on Speech Act Theory: Taking the Intonation of the Oracle in The Matrix as an Example

Wang,

Pan

2024

jerp

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Intonation still finds itself one of the most difficult problems for many EFL learners. However, there are few pieces of literature that have explored the relationship between these two elements: illocutionary acts and intonation patterns. Therefore, this study attempts to do so, taking the intonation used in the character Oracle’s lines in the film The Matrix as an experimental database, and then summarizing and categorizing the intentions based on John Searle’s taxonomy of illocutionary acts. After analyzing 265 lines, four candidates were invited to label their own understanding of the illocutionary act of the character by perceiving the characters’ intonation. The chi-square results which show the similarity of their shared understanding turned out to be diverse, from which we concluded several kinds of causes with qualitative analysis: 1) different educational backgrounds; 2) the effectiveness of teaching intonation in China is not up to standard; 3) insufficient understanding of the movie context. Our research studies intonation from a different scope than the traditional top-down model, to provide a theoretical supplement to the intonation function research to some extent, and at the same time to provide English learners with some theoretical help for intonation learning and promote the improvement of their speaking.

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Android App Development for Teaching Reduced Forms of EFL Listening Comprehension to Decrease Cognitive Load

Cited by 3 publications

References 6 publications

Automatically Detecting Reduced-formed English Pronunciations by Using Deep Learning

Automatically Detecting Reduced-formed English Pronunciations by Using Deep Learning

Using Digital Games for Enhancing EFL Grammar and Vocabulary in Higher Education

An Analysis of the Pragmatic Function of English Intonation Based on Speech Act Theory: Taking the Intonation of the Oracle in The Matrix as an Example

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