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Chan, Ying-Ngai; Choy, Yat-Sze; To, Wai-Ming; Lai, Tsz-Ming – International Journal of Instruction, 2021
This study aims to investigate the interaction between acoustical and psychological features in the perception of soundscape to improve the learning attitude. Sound measurements were performed in nine classrooms in three Hong Kong's higher education institutions and questionnaires were used to collect responses from 209 students who attended…
Descriptors: Acoustics, Auditory Stimuli, Auditory Perception, Classroom Environment
Chan, Hang – Cogent Education, 2018
Every sound is made up of pitch, intensity and length (P, I and L). These universal parameters work together to give a sound its sensation. This paper presents a case of using P, I and L, and a hypothetical measure, "S[subscript c]" ("Stress Composite"), to appraise the effect of prosodic training. The main question this paper…
Descriptors: Singing, Workshops, Acoustics, Suprasegmentals
Ling, Wenyi; Grüter, Theres – Second Language Research, 2022
Successful listening in a second language (L2) involves learning to identify the relevant acoustic-phonetic dimensions that differentiate between words in the L2, and then use these cues to access lexical representations during real-time comprehension. This is a particularly challenging goal to achieve when the relevant acoustic-phonetic…
Descriptors: Intonation, Second Language Learning, Mandarin Chinese, Word Recognition
Chen, Hsueh Chu; Wang, Qian – Australian Review of Applied Linguistics, 2019
This study explores the most perceivable phonological features of Hong Kong (HK) L2 English speakers and how they affect the perception of HK L2 English speech from the perspective of both native and non-native English listeners. Conversational interviews were conducted to collect speech data from 20 HK speakers of English and 10 native speakers…
Descriptors: Phonology, Foreign Countries, English (Second Language), Second Language Learning
Lee, Cynthia; Yeung, Alexander Seeshing; Ip, Tiffany – Computer Assisted Language Learning, 2016
Computer technology provides spaces and locales for language learning. However, learning style preference and demographic variables may affect the effectiveness of technology use for a desired goal. Adapting Reid's pioneering Perceptual Learning Style Preference Questionnaire (PLSPQ), this study investigated the relations of university students'…
Descriptors: Technology Uses in Education, Computer Uses in Education, Cognitive Style, Higher Education