PWGL, Towards an Open and Intelligent Learning Environment for Higher Music Education

2010 ◽  
pp. 518-523 ◽  
Author(s):  
Mika Kuuskankare ◽  
Mikael Laurson
Keyword(s):  
Learning Environment ◽  
Music Education ◽  
Intelligent Learning Environment

Advocacy for Students with Autism in Music Education

2020 ◽  
pp. 143-160
Author(s):  
Alice M. Hammel ◽  
Ryan M. Hourigan
Keyword(s):  
Learning Environment ◽  
Music Education ◽  
Special Educators ◽  
Music Educators ◽  
Classroom Teachers ◽  
Special Education Administrators ◽  
Music Learning ◽  
Educational Support ◽  
Students With Autism ◽  
Education Administrators

Music students with autism are frequently placed in music learning environments not conducive to their needs. Music educators must advocate for the most appropriate learning environment for their students. This chapter focuses on establishing relationships with parents, special educators, special education administrators, and classroom teachers to advocate for the most appropriate learning environment. In addition, this chapter focuses on understanding the necessary components of the musical learning environment for students with ASD and reaching out to community organizations for educational support.

scholarly journals DynaLearn – An Intelligent Learning Environment for Learning Conceptual Knowledge

AI Magazine ◽  
2013 ◽  
Vol 34 (4) ◽  
pp. 46-65 ◽  
Author(s):  
Bert Bredeweg ◽  
Jochem Liem ◽  
Wouter Beek ◽  
Floris Linnebank ◽  
Jorge Gracia ◽  
...  
Keyword(s):  
Learning Environment ◽  
Conceptual Knowledge ◽  
Evaluation Studies ◽  
Knowledge Based ◽  
Intelligent Learning Environment ◽  
Powerful Means ◽  
Qualitative Models ◽  
Course Material ◽  
Computer Based ◽  
Diagrammatic Representations

Articulating thought in computer-based media is a powerful means for humans to develop their understanding of phenomena. We have created DynaLearn, an Intelligent Learning Environment that allows learners to acquire conceptual knowledge by constructing and simulating qualitative models of how systems behave. DynaLearn uses diagrammatic representations for learners to express their ideas. The environment is equipped with semantic technology components capable of generating knowledge-based feedback, and virtual characters enhancing the interaction with learners. Teachers have created course material, and successful evaluation studies have been performed. This article presents an overview of the DynaLearn system.

Developing Self-Efficacy to Improve Music Achievement

2020 ◽  
Vol 107 (2) ◽  
pp. 42-50
Author(s):  
Michael S. Zelenak
Keyword(s):  
Learning Environment ◽  
Music Education ◽  
Self Efficacy ◽  
Positive Relationship ◽  
Music Educators ◽  
Music Achievement ◽  
Self Perception ◽  
Music Learning ◽  
Albert Bandura

Albert Bandura identified self-efficacy as the dominant self-perception shaping action, effort, and achievement. In music education, researchers have identified a positive relationship between self-efficacy and achievement, but how can music educators develop self-efficacy to improve achievement? This article offers a description of self-efficacy and provides practical strategies to promote its development in music education. These strategies can be applied in any music learning environment so that music educators may be more fully prepared to integrate activities that build self-efficacy into their instruction, enabling their students to reach higher levels of achievement.

Opinion mining and emotion recognition in an intelligent learning environment

2018 ◽  
Vol 27 (1) ◽  
pp. 90-101 ◽  
Author(s):  
Raúl Oramas Bustillos ◽  
Ramón Zatarain Cabada ◽  
María Lucía Barrón Estrada ◽  
Yasmin Hernández Pérez
Keyword(s):  
Learning Environment ◽  
Emotion Recognition ◽  
Opinion Mining ◽  
Intelligent Learning Environment
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