Adaptive Behavior
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In this course we build on notions in human adaptive behaviour and learning sciences as we look at design for fruitful learning experiences, especially as they relate to learning engineering concepts, methods and tools. The course is at the cross-section of cognitive neuroscience, education and technologies.
The course starts with a definition of adaptive behavior that refers to the collection of conceptual, social, and practical skills that all humans learn in order to function in their daily lives. We explore the biological underpinnings of human adaptive behaviour, the risks associated to maladaptive behavior (e.g. stress), and the role of our learning system from a biological and evolutionary social context. Special attention is put to how learning happens in humans and the most accepted frameworks and methods in the learning sciences, helpful to design effective learning experiences.
The course then focuses on how technological approaches and tools can be used to enhance learning scenarios or to facilitate learning scenarios that won’t be possible without technologies. We cover advances in learning technologies and their applications, including innovative online learning systems; collaborative learning tools; learning with mobile devices; wearable devices for learning; adaptive learning systems; tools for formative and summative assessment; tools for learning analytics; learning design and authoring tools for learning activities and materials; social networks and infrastructures for learning and knowledge sharing.
Objectives
By the end of the course, students will be able to design effective learning experiences through utilizing learning technologies, knowledge of learning sciences, and data analytics.
Details
Institution: Universitat Pompeu Fabra
Program: Master in Cognitive Systems and Interactive Media
Professor: Davinia Hernández-Leo
Semester: Winter 2019
Syllabus: Link
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