The use of Twitter and Youglish for the learning and retention of commonly mispronounced English words

Kartal, Galip; Korucu-Kis, Saadet

doi:10.1007/s10639-019-09970-8

Cited by 20 publications

(11 citation statements)

References 63 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They generally stated that Twitter helped to improve their writing and their views about writing. This finding is similar to those of many studies that show evidence of Twitter's utility in language learning and specifically writing (Altakhaineh & Al-Jallad, 2018;Ammar, 2016;Dommett, 2019;Kartal & Korucu-Kis, 2020;Mompean & Fouz-González, 2016;Wu, 2020).…”

Section: The Students' Views About the Use Of Twitter In Their Writinsupporting

confidence: 89%

See 1 more Smart Citation

The Utilization of Twitter for Improving the Writing of Non-native Speakers of Arabic

Althobaiti

2020

رسالة المشرق

View full text Add to dashboard Cite

The use of Twitter as an auxiliary tool for language teaching and learning has recently caught the attention of many researchers. Many studies revealed that Twitter has the potential to facilitate students' improvement in writing. Twitter can help second language (L2) writers and foreign language (FL) writers, including non-native speakers of Arabic (NNSA). The current qualitative case study intends to investigate the utilization of Twitter in improving nonnative Arabic speakers' written production. The participants in the study were 34 non-Arabic speakers who represented different nationalities (N= 8). Data were collected from the students' actual participation in the Arabic Hashtag program designed for this purpose (#I_Learn_Arabic) and from interviews with students. All the tweets in the Hashtag were qualitatively analyzed. The results show that the use of Twitter has generated different types of writing that benefit the students' learning. Thus, the study offers insights into classroom teaching and the integration of social medial into writing classes.

show abstract

Section: The Students' Views About the Use Of Twitter In Their Writinsupporting

confidence: 89%

“…At the same time, teachers become facilitative agents rather than dominant figures. Furthermore, the shift toward digital pedagogy intends to move teaching and learning beyond classroom walls (Kartal, & Korucu-Kis, 2020). However, this movement requires a great deal of effort to be exerted in teaching and assessment.…”

mentioning

confidence: 99%

The Utilization of Twitter for Improving the Writing of Non-native Speakers of Arabic

Althobaiti

2020

رسالة المشرق

View full text Add to dashboard Cite

show abstract

“…Moreover, the exam-centric education system in Turkey prevents even student teachers of English focusing on communication skills. As a result, beginning from the first year of the language teacher education programs, students have to put extra effort to improve speaking, writing, and pronunciation skills (Kartal & Korucu-Kis, 2019;Kartal & Özmen, 2018). WhatsApp provided promising findings on improving communication skills.…”

Section: Results Concerning the Language Learning Benefits Of The Empmentioning

confidence: 99%

What’s up with WhatsApp? A Critical Analysis of Mobile Instant Messaging Research in Language Learning

Kartal

2022

Int. J. of Cont. Edu. Res.

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, the data samples of these speech databases are limited. Because there are many types of speech, it is difficult to get close to life in terms of semantics and speech selection [12,13]. is leads to the lack of generality and wide applicability in the research of speech databases.…”

Section: Speech Recognition Methods Of Edgementioning

confidence: 99%

Modeling and Simulation of English Speech Optimization Teaching Recognition Based on Intelligent Edge Detection Algorithm

Tang

Tian

2022

Security and Communication Networks

View full text Add to dashboard Cite

English speech modeling is one of the key problems in the field of speech recognition. Its accuracy directly affects the performance of the English speech recognition system, and how to establish a more accurate acoustic model has always been the focus of researchers. This paper is based on the intelligent edge detection algorithm of the English speech optimization teaching recognition modeling simulation analysis to improve the accuracy of acoustic models such as parameters and the performance of continuous speech recognition system as the main purpose. In this paper, the accuracy of the neural network is improved on the premise of improving the training speed and decoding speed of the model. It proposes a new model and how to use the intelligent edge detection algorithm to build a complete English speech optimization teaching recognition system. The whole system includes the mobile terminal and the server, which realizes the most basic business logic of the speech recognition system. The experimental results of this paper show that from the point of view of the average recognition rate, the recognition effect of the optimized feature set has been further improved compared with the fusion feature. From the point of view of the recognition rate under different SNR environments, the recognition rate of the optimized feature set PCA-Features2 decreased by 0.47% compared with the FFPRLS_D + TEOCC feature set under 10dB10 words. Compared with the FFPLMS_D + TEOCC feature set, the recognition rate under 5dB10 words also drops by 0.47%.

show abstract

The use of Twitter and Youglish for the learning and retention of commonly mispronounced English words

Cited by 20 publications

References 63 publications

The Utilization of Twitter for Improving the Writing of Non-native Speakers of Arabic

The Utilization of Twitter for Improving the Writing of Non-native Speakers of Arabic

What’s up with WhatsApp? A Critical Analysis of Mobile Instant Messaging Research in Language Learning

Modeling and Simulation of English Speech Optimization Teaching Recognition Based on Intelligent Edge Detection Algorithm

Contact Info

Product

Resources

About