The CRADLE (Centre for Research and Development in Learning) dataverse contains research data collected or generated by the Centre that specializes in empowering and transforming learners in higher education and lifelong learning and leading innovative interdisciplinary research founded on the Science of Learning.

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1 to 10 of 12 Results
Jul 19, 2022 - Liuyu Huang
Huang, Liuyu; Chua, Alton; Liew, Hattie, 2022, "Workplace learning in disruptive innovators: A knowledge management perspective", https://doi.org/10.21979/N9/3WXMQA, DR-NTU (Data), V2
Survey and interview data with the interview questions for the project titled "Workplace learning in disruptive innovators: A knowledge management perspective". (GA18-07)
Liuyu Huang(Nanyang Technological University)
Jul 14, 2022
Appointment: Research Associate Research topics: • Workplace learning • Sharing economy • Data visualization • Bibliometrics
Nov 16, 2021
Puah, Shermain; Bin Mohmad Khalid, Muhammad Iskandar Shah; Looi, Chee Kit; Khor, Ean Teng, 2021, "Working adults’ intentions to participate in microlearning: Assessing for measurement invariance and structural invariance", https://doi.org/10.21979/N9/NZ8N7M, DR-NTU (Data), V2, UNF:6:qUPyfXjS0D9VcYSbOtGU+Q== [fileUNF]
Data set and R code script for the manuscript titled "Working adults’ intentions to participate in microlearning: Assessing for measurement invariance and structural invariance"
Aug 4, 2021
Kashyap R.; Bhattacharjee S.; Arumugam R.; Bharath R.; Uduppa K.; Kenichi O.; Desmond J. E.; SH Chen A.; Cuntai G., 2021, "Focality Oriented Selection of Current Dose for Transcranial Direct Current Stimulation", https://doi.org/10.21979/N9/KWTCWK, DR-NTU (Data), V1
The toolbox provides average tDCS simulated current density at the target ROI on an MNI space
Apr 20, 2021
Puah, Shermain; Bin Mohmad Khalid, Muhammad Iskandar Shah; Chee Kit, Looi; Ean Teng, Khor, 2021, "Investigating working adults’ intentions to participate in microlearning using the decomposed theory of planned behaviour (DTPB)", https://doi.org/10.21979/N9/YIMF4G, DR-NTU (Data), V1, UNF:6:qUPyfXjS0D9VcYSbOtGU+Q== [fileUNF]
Data set and R code script for the manuscript titled "Investigating working adults’ intentions to participate in microlearning using the decomposed theory of planned behaviour (DTPB)"
Apr 7, 2021
Chen, S. H. Annabel; Hong, Huaqing; Cheong, Daniel; Talib, Nadira; Chong, Wen Ching; Wu, Chiao-Yi; O'Brien, Beth A., 2021, "An Investigation of Pedagogical Approaches in the Acquisition of Language for Low-Waged, Low-Skilled Adult Learners of English", https://doi.org/10.21979/N9/TOSYDY, DR-NTU (Data), V1
This project seeks to conduct an investigation and evaluation of the pedagogical approaches adopted in the acquisition of English language literacy for low-waged, low-skilled adult learners of English in Singapore. The research focuses on the pedagogical approach undertaken in th...
Nov 20, 2020 - Brain Literacy
Chen, S. H. Annabel; Ng, Betsy; Tan, Seng Chee; Poon, Kin Loong Kenneth; Yeo, Lay See; Aljunied, Mariam; Hale, James Bradford, 2019, "Translating Educational Neuroscience to Meet Diverse Needs of Children in Schools: Feasibility and Infrastructure", https://doi.org/10.21979/N9/SWPBE9, DR-NTU (Data), V2
This project seeks to develop the infrastructure to begin the translation of educational neuroscience into classroom practice. As part of the project, we established the norms of Test of Word Reading Efficiency – Second Edition (TOWRE-2) and Singapore Reading Maze Test (SRMT) as...
Nov 15, 2020
Kashyap, Rajan; Bhattacharjee, Sagarika; Ramaswamy, Arumugam; Oishi, Kenichi; Desmond, John E; Chen, S. H. Annabel, 2020, "𝓲-SATA: A MATLAB based toolbox to estimate Current Density generated by Transcranial Direct Current Stimulation in an Individual Brain", https://doi.org/10.21979/N9/5W3RIM, DR-NTU (Data), V2
𝓲-SATA: A MATLAB based toolbox to estimate Current Density generated by Transcranial Direct Current Stimulation in an Individual Brain
Mar 12, 2020 - Subtypes in Resting-State fMRI of Healthy Controls
Kashyap, Rajan; Bhattacharjee, Sagarika; Yeo, B. T. Thomas; Chen, S. H. Annabel, 2020, "Maximizing dissimilarity in resting state detects heterogeneous subtypes in healthy population associated with high substance use and problems in antisocial personality", https://doi.org/10.21979/N9/8EQNY1, DR-NTU (Data), V1
Resting state frequency magnetic resonance imaging Neuroscience Subtypes Big Data Analysis Smoking Alcohol Marijuana Illicit Drugs Antisocial Personality Disorder
Subtypes in Resting-State fMRI of Healthy Controls(Nanyang Technological University)
Mar 12, 2020
In this work we develop an algorithm to find the subtypes within the healthy control population from their magnetic resonance images obtained during the rest inside the scanner
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