NDLI: Investigating the Effectiveness of Speech-to-Text Recognition Application on Learning Performance in Traditional Learning Environment

Content Provider	IEEE Xplore Digital Library
Author	Shadiev, R. Yueh-Min Huang Wu-Yuin Hwang Shadiev, N.
Copyright Year	2015
Description	Author affiliation: Dept. of Pedagogics, Samarkand State Univ., Samarkand, Uzbekistan (Shadiev, N.) \|\| Dept. of Eng. Sci., Nat. Cheng Kung Univ., Tainan, Taiwan (Shadiev, R.; Yueh-Min Huang) \|\| Grad. Inst. of Network Learning Technol., Nat. Central Univ., Jhongli, Taiwan (Wu-Yuin Hwang)
Abstract	This study aimed to explore the effectiveness of applying the speech-to-text recognition (STR) technology during lectures in English on learning performance of non-native English students. Furthermore, how useful texts generated by the STR for students of different English as foreign language (EFL) ability during different difficulty level lectures was explored. For this reason, one experiment was carried out in this study. Two lectures, one is intermediate difficulty level lecture and the other is advanced, were administered in a traditional classroom and the STR was adopted to aid students' learning. Results of this study showed that students who used STR-generated texts outperformed students who did not use them. According to students, STR-texts were useful to follow the instructor, clarify some words, confirm what the lecturer has said, make up missed information, and enhance understanding. It was found that STR-texts were beneficial for learning of low EFL ability students during both lectures while high EFL ability students only used STR-texts during the advanced level lecture. Based on these results, several suggestions and implications for teaching and research community are proposed in this study.
Starting Page	441
Ending Page	445
File Size	160401
Page Count	5
File Format	PDF
e-ISBN	9781467373340
DOI	10.1109/ICALT.2015.18
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-06
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interviews Speech Computers Seminars Vocabulary Real-time systems low and high ability Speech-to-text recognition traditional classroom non-native English students
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Investigating Visual Attention of Students with Different Learning Ability on Texts Generated by Speech-to-Text Recognition

Real-Time Speech-to-Speech Translation for PDAs

Unsupervised vocabulary selection for real-time speech recognition of lectures

Development and validation of hardware architectures for real-time high-performance speech recognition systems

A speech recognition system of continuously spoken Japanese sentences and an application to a speech input device

A real-time Chinese speech recognition system with unlimited vocabulary

An adaptive speech recognition system operating in a remote time-shared computer environment

Phoneme classification for real time speech recognition of Italian

Application of isolated word recognition to a voice controlled repertory dialer system

Investigating the Effectiveness of Speech-to-Text Recognition Application on Learning Performance in Traditional Learning Environment

Similar Documents

Investigating Visual Attention of Students with Different Learning Ability on Texts Generated by Speech-to-Text Recognition

Real-Time Speech-to-Speech Translation for PDAs

Unsupervised vocabulary selection for real-time speech recognition of lectures

Development and validation of hardware architectures for real-time high-performance speech recognition systems

A speech recognition system of continuously spoken Japanese sentences and an application to a speech input device

A real-time Chinese speech recognition system with unlimited vocabulary

An adaptive speech recognition system operating in a remote time-shared computer environment

Phoneme classification for real time speech recognition of Italian

Application of isolated word recognition to a voice controlled repertory dialer system

Investigating the Effectiveness of Speech-to-Text Recognition Application on Learning Performance in Traditional Learning Environment