Appointment: Associate Professor
Director of the Brain, Language and Intersensory Perception Lab (BLIP Lab), Psychology, NTU

Suzy J. Styles is a developmental psycholinguist specializing in the interaction between language and the development of sensory systems. She trained in Linguistics and Japanese at the Australian National University and Tohoku University, and in Psycholinguistics at the University of Oxford, where she held a Career Development Fellowship at the Department of Experimental Psychology and St Hugh's College. She is an Associate Professor and Director of the Brain, Language and Inter-sensory Processing Lab (BLIP Lab) at Nanyang Technological University, Singapore.

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Open Educational Resources (OERs)

• Language - Sensation - Cognition
• Evolution of the Human Primate
• Crash Course in Sensory Psycholinguistics
• Ethical Research Practices
• Neuroscience

Science Of Child Language

Research Tools, Surveys & Scales

• Understanding Sensation
• Bilingual Language Surveys (coming soon)



For more information, visit faculty webpage or BLIP Lab website
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1,321 to 1,330 of 1,459 Results
WhatAScaryStorm_WordlessPictureBook_ScreenVersion.pptx
Mar 27, 2020 - Little Orangutan: What a Scary Storm!
MS Powerpoint - 10.4 MB - MD5: 11b5388bee1e7244c2aca781a43310a4
Styles SJ (2020) Little Orangutan: What a Scary Storm. This file is a PowerPoint version of the original book with 2-page per view display, adapted for sharing onscreen including with screencasting software. Part of the collection of SESAME Research Tools developed in the BLIP La...
SESAME Research Tools(Nanyang Technological University)
Mar 27, 2020
SESAME: Speech Elicitation for Spectral Acoustics in a Multilingual Environment. The SESAME Research tools are a collection of Open Access materials designed to elicit different kinds of speech, including for fine-grained analysis of spectral acoustics. The collection includes Pi...
200320_Pan&Styles_Pre-registration_LaksaSpeechRhythm.pdf
Mar 20, 2020 - Pre-registration: Speech Rhythm of Singapore English in Laksa Corpus
Adobe PDF - 93.1 KB - MD5: 417b687134dc0ae6f48649d15b982ae2
Pan & Styles (2020). Preregistration documents describing the hypothesis and planned analyses for speech rhythm in the Laksa Corpus of Singaporean speech.
Lim&Styles2020_Pre-Reg_TwoSensoryScales.pdf
Feb 12, 2020 - Preregistration for a comparison of two different sensory profiles for young adults in Singapore
Adobe PDF - 117.5 KB - MD5: 120eb80c3600cee6138270a0f1f1a741
Preregistration for a comparison of two sensory scales. Questions from aspredicted.org
ChengLeeStyles2020_1_AsPredicted.pdf
Feb 3, 2020 - Preregistration Documents: Evaluating the Quality of Evidence for Intelligent Tutoring Systems in the Tutoring of Math for Children Aged 6 to 12: Preregistration for Systematic Review
Adobe PDF - 71.8 KB - MD5: 510948eb48f05507b55c30c381996711
Preregistration template
ChengLeeStyles2020_2_PRISMA_Protocol.pdf
Feb 3, 2020 - Preregistration Documents: Evaluating the Quality of Evidence for Intelligent Tutoring Systems in the Tutoring of Math for Children Aged 6 to 12: Preregistration for Systematic Review
Adobe PDF - 67.8 KB - MD5: a98f504b091fd7e02a380c9169beafda
PRISMA template for systematic review
ChengLeeStyles2020_3_Codebook.pdf
Feb 3, 2020 - Preregistration Documents: Evaluating the Quality of Evidence for Intelligent Tutoring Systems in the Tutoring of Math for Children Aged 6 to 12: Preregistration for Systematic Review
Adobe PDF - 66.2 KB - MD5: 09f0e4f6f4857eac5ce2d9336e3d1491
Codebook
ChengLeeStyles2020_DataExtractionTable.xlsx
Feb 3, 2020 - Preregistration Documents: Evaluating the Quality of Evidence for Intelligent Tutoring Systems in the Tutoring of Math for Children Aged 6 to 12: Preregistration for Systematic Review
MS Excel Spreadsheet - 9.6 KB - MD5: b39a0e7000916fa0d8ce7888b6d5bcb5
Data Extraction Sheet
Research on Learning and Education(Nanyang Technological University)
Feb 3, 2020
Collection of research files and data from the BLIP Lab's work on Learning and Education
AudioUsernames_Storybook.tab
Jan 13, 2020 - Leaf & Stone Corpus (Singapore 2016) Audio
Tabular Data - 705 B - 4 Variables, 29 Observations - UNF:6:dmhxhSKAdqqaI1hZczAT9w==
For derivatives containing audio samples from this collection, please attribute to the speaker using their selected username as in this table.
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