ORCID Profile
0000-0002-1004-8687
Current Organisations
Queensland University of Technology
,
James Cook University
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Publisher: IEEE
Date: 09-2015
Publisher: ACM
Date: 07-12-2015
Publisher: ACM
Date: 04-06-2016
Publisher: Australasian Society for Computers in Learning in Tertiary Education
Date: 25-11-2018
DOI: 10.14742/AJET.3743
Abstract: Most pedagogical literature has generated “how to” approaches regarding the use of student response systems (SRS). There are currently no systematic reviews on the effectiveness of SRS, for its capacity to enhance critical thinking, and achieve sustained learning outcomes. This paper addresses this current gap in knowledge. Our teaching team introduced GoSoapBox (an interactive online SRS) in an undergraduate sociology and public health subject, as a mechanism for discussing controversial topics, such as sexuality, gender, economics, religion, and politics, to allow students to interact with each other and to generate discussions and debates during lectures. Bandura’s Social Learning Theory (SLT) was applied to investigate the effectiveness of GoSoapBox for improving learning experiences. We produced a theoretical model via an iterative analytical process between SLT and our data. This model has implications for all academics considering the use of SRS to improve the learning experiences of their students.
Publisher: Elsevier BV
Date: 02-2011
DOI: 10.1016/J.CLINPH.2010.06.030
Abstract: This study characterises and describes the maturational evolution of the healthy infant sleep electroencephalogram (EEG) longitudinally from 2 weeks to 24 months of age, by means of power spectral analysis. A prospective cohort of 34 healthy infants underwent overnight polysomnography (PSG) at 2 weeks, and at 3, 6, 12 and 24 months of age. Sleep epochs were scored as Active Sleep (AS) and Quiet Sleep (QS) at 2 weeks of age and as Rapid Eye Movement (REM) and Non-REM (NREM) stages from 3 months onwards. Representative epochs were used to generate the EEG power spectra, from the central C3 derivation. These were analysed visually and quantitatively in AS/REM and QS/NREM sleep in the following bandwidths: delta (0.5-4 Hz) theta (4-8 Hz) alpha (8-11 Hz) sigma (11-15 Hz) and 0.5-25 Hz. Sleep EEG (central derivation) power spectra changed significantly in the different bandwidths as the infants matured. The emergence of a peak in the sigma bandwidth in NREM N2 sleep corresponded with the development of sleep spindles. Maturational changes were also seen in NREM N3 and in theta and alpha bandwidths in both AS/REM and QS/NREM. Sleep EEG power spectra characteristics in healthy infants evolve in keeping with maturation and neurodevelopmental milestones. This study provides an atlas of healthy infant sleep EEG in the early years of life, providing a basis for association with other neurodevelopmental measures and a normative dataset on which disease may be discriminated.
No related grants have been discovered for Mangalam Sankupellay.