scholarly journals Music Cognition and Affect in the Design of Technology-Enhanced Music Lessons

2020 ◽  
Vol 5 ◽  
Author(s):  
Elena Macrides ◽  
Charoula Angeli
Keyword(s):  
Music Cognition ◽  
Music Lessons ◽  
Cognition And Affect

Psychology: Volume 1

2019 ◽  
Keyword(s):  
Positive Psychology ◽  
Human Life ◽  
Empirical Studies ◽  
Real Life ◽  
Human Beings ◽  
Cognitive Capability ◽  
Affective Processes ◽  
Abstract Level ◽  
The Impact ◽  
Cognition And Affect

This survey of research on psychology in five volumes is a part of a series undertaken by the ICSSR since 1969, which covers various disciplines under social science. Volume One of this survey, Cognitive and Affective Processes, discusses the developments in the study of cognitive and affective processes within the Indian context. It offers an up-to-date assessment of theoretical developments and empirical studies in the rapidly evolving fields of cognitive science, applied cognition, and positive psychology. It also analyses how pedagogy responds to a shift in the practices of knowing and learning. Additionally, drawing upon insights from related fields it proposes epithymetics–desire studies – as an upcoming field of research and the volume investigates the impact of evolving cognitive and affective processes in Indian research and real life contexts. The development of cognitive capability distinguishes human beings from other species and allows creation and use of complex verbal symbols, facilitates imagination and empowers to function at an abstract level. However, much of the vitality characterizing human life is owed to the diverse emotions and desires. This has made the study of cognition and affect as frontier areas of psychology. With this in view, this volume focuses on delineating cognitive scientific contributions, cognition in educational context, context, diverse applications of cognition, psychology of desire, and positive psychology. The five chapters comprising this volume have approached the scholarly developments in the fields of cognition and affect in innovative ways, and have addressed basic as well applied issues.

The charmed dyad: Multimodal music lessons for pupils with severe or multiple disabilities

2021 ◽  
pp. 1321103X2097480
Author(s):  
Melissa Bremmer ◽  
Carolien Hermans ◽  
Vincent Lamers
Keyword(s):  
Music Education ◽  
Music Teachers ◽  
Teaching Practice ◽  
Meaning Making ◽  
Multiple Disabilities ◽  
Children's Music ◽  
Four Dimensions ◽  
Music Lessons ◽  
Multiple Case ◽  
Teaching Music

This multiple-case-studies research explored a multimodal approach to teaching music to pupils (from 4 to 18 years old) with severe or multiple disabilities. By combining music with, for example, tactile stimulation, movement, or visuals, meaning-making processes in music of these pupils was stimulated, helping them to understand the internal structures and expressive qualities of music. Three music teachers and a social worker participated in this study. Individual and collective video reflections and microanalysis were applied to gather data about their multimodal teaching practice. The data were analyzed through Schmid’s framework (2015) of “multimodal dimensions of children’s music experiences,” developed for general music education. This framework consists of four dimensions: narrativity, sociality, materiality, and embodiment. Based on the findings, Schmid’s framework could be revised for special education, thus providing music teachers with a tool for designing multimodal music lessons for pupils with severe or multiple disabilities.

scholarly journals Computational Modeling of Music Cognition: A Case Study on Model Selection

2006 ◽  
Vol 23 (5) ◽  
pp. 365-376 ◽  
Author(s):  
Henkjan Honing
Keyword(s):  
Model Selection ◽  
Strong Evidence ◽  
Goodness Of Fit ◽  
Computational Models ◽  
Recent Literature ◽  
Music Cognition ◽  
Kinematic Model ◽  
Music Performance ◽  
Limited Range

While the most common way of evaluating a computational model is to see whether it shows a good fit with the empirical data, recent literature on theory testing and model selection criticizes the assumption that this is actually strong evidence for the validity of a model. This article presents a case study from music cognition (modeling the ritardandi in music performance) and compares two families of computational models (kinematic and perceptual) using three different model selection criteria: goodness-of-fit, model simplicity, and the degree of surprise in the predictions. In the light of what counts as strong evidence for a model’s validity—namely that it makes limited range, nonsmooth, and relatively surprising predictions—the perception-based model is preferred over the kinematic model.

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