Speech Text for Language Learning: A Bibliometric Analysis

DOI

10.2991/978-2-494069-35-0_190How to use a DOI?

Keywords

Speech Text; Language Learning; Bibliometrics; EFL

Abstract

This study shares the results of bibliometric analysis which aims to obtain an overview or mapping of publications in the issue of using speech texts for language learning. As a bibliometric analysis, this research collects data by applying metrics on Publish or Perish (PoP) for publications from the 2005–2021 range. Publications are selected from articles published by Scopus indexed journals that promise high credibility and reliable reputation. In an effort for comprehensive findings, the analysis used keyword variations, such as speech text (Global), Speech Text (Indonesia), Speech text, language learning (Global), Speech text, language learning (Indonesia), Speech text, language learning; EFL (Global), Speech text, language learning; EFL (Indonesia), Speech text, language learning; EFL, President (Global), Speech text, language learning; EFL, President (Indonesia.) The results of the analysis indicate that research on speech texts in relation to language learning has been carried out both globally and nationally. However, in terms of publication productivity, the issue of the relationship between language learning and speech texts is still relatively low, especially in Indonesia. Similar to the interest in the publications shows that interest in this topic is also nationally low particularly the relevance of learning English as a foreign language based on speech text in Indonesia. Further, the results of this bibliometric inquiry are in line with previous studies affirming a gap in the number of publications at the global and national levels in the chosen topic. On the other hand, this highlights the potential of carrying out more researches on the topic of text rhetoric for language learning and knowledge or value exploration to seek for more innovation and breakthroughs in the contemporary and dynamic circumstances.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Mister Gidion Maru
AU  - Rahel W. Kimbal
AU  - Indra Rianto
AU  - Stralen Pratasik
AU  - Ruddy Pakasi
AU  - Arie Tulus
AU  - Fivy Andries
AU  - Noldy Pelenkahu
PY  - 2023
DA  - 2023/01/17
TI  - Speech Text for Language Learning: A Bibliometric Analysis
BT  - Proceedings of the Unima International Conference on Social Sciences and Humanities (UNICSSH 2022)
PB  - Atlantis Press
SP  - 1595
EP  - 1604
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-494069-35-0_190
DO  - 10.2991/978-2-494069-35-0_190
ID  - Maru2023
ER  -