33.3882, Books: The Benefits Of Automatic Speech Recognition-Based Language Learning Systems: Bashori

Wed Dec 14 00:31:42 UTC 2022

LINGUIST List: Vol-33-3882. Wed Dec 14 2022. ISSN: 1069 - 4875.

Subject: 33.3882, Books: The Benefits Of Automatic Speech Recognition-Based Language Learning Systems: Bashori

Moderators:

Editor for this issue: Maria Lucero Guillen Puon <luceroguillen at linguistlist.org>
================================================================

Date: Wed, 14 Dec 2022 00:31:34
From: Tessa Arneri [lotdissertations-fgw at uva.nl]
Subject: The Benefits Of Automatic Speech Recognition-Based Language Learning Systems: Bashori

Title: The Benefits Of Automatic Speech Recognition-Based Language
Learning Systems 
Subtitle: Learning English In Secondary School In Indonesia 
Series Title: LOT Dissertation Series  

Publication Year: 2022 
Publisher: Netherlands Graduate School of Linguistics / Landelijke (LOT)
	   http://www.lotpublications.nl/

Book URL: https://www.lotpublications.nl/the-benefits-of-automatic-speech-recognition-based-language-learning-systems 

Author: Muzakki Bashori

Paperback: ISBN:  9789460934124 Pages: 295 Price: Europe EURO 31

Abstract:

As human beings, learners bring along their emotions also to their English as
a Foreign Language (EFL) classrooms. This makes emotions an inseparable part
of learners’ lives, which plays an important role in their language
achievement and performance. This especially applies in the Indonesian
context, where EFL learners appear to experience anxiety when speaking
English. Additionally, vocabulary and pronunciation learning and teaching have
frequently been neglected in EFL classrooms. These two pivotal elements affect
learners’ overall speaking competence.

We investigated the effects of two Automatic Speech Recognition (ASR)-based
language learning systems, I Love Indonesia (ILI) and NovoLearning (NOVO), on
students’ Foreign Language Speaking Anxiety (FLSA), Foreign Language Enjoyment
(FLE), receptive and productive vocabulary knowledge, and word-level and
sentence-level pronunciation.

The research reported on in this thesis confirms our expectations about the
positive effects of practicing with ASR-based language learning systems on the
four outcome variables investigated. Our systems successfully reduced
learners’ FLSA and enhanced their FLE. We also discovered that our systems
significantly improved learners’ vocabulary knowledge and pronunciation.
Interestingly, the different types of feedback provided by ILI and NOVO had
significant, distinct effects on all three pronunciation measures – phonetic
distance, accentedness, and comprehensibility. NOVO outperformed ILI, but ILI
remained effective for pronunciation learning.

In the Indonesian context, relatively few studies have discussed the potential
of ASR-based practice for secondary school students’ affect and speaking
skills. In this thesis, we have bridged this gap by providing new evidence and
perspectives that may shed more light on how ASR-based language learning
practice positively impacts EFL learning and teaching (speaking) in Indonesia.

Linguistic Field(s): Applied Linguistics
                     Language Acquisition

Written In: English  (eng)

See this book announcement on our website: 
http://linguistlist.org/pubs/books/get-book.cfm?BookID=165973

------------------------------------------------------------------------------

***************************    LINGUIST List Support    ***************************
 The 2022 Fund Drive is under way! Please visit https://funddrive.linguistlist.org
  to find out how to donate and check how your university, country or discipline
     ranks in the fund drive challenges. Or go directly to the donation site:
                   https://crowdfunding.iu.edu/the-linguist-list

                        Let's make this a short fund drive!
                Please feel free to share the link to our campaign:
                    https://funddrive.linguistlist.org/donate/

----------------------------------------------------------
LINGUIST List: Vol-33-3882	
----------------------------------------------------------