Integrating Computation And Cognition
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Cognitive Integration
This book argues that thinking is bounded by neither the brain nor the skin of an organism. Cognitive systems function through integration of neural and bodily functions with the functions of representational vehicles. The integrationist position offers a fresh contribution to the emerging embodied and embedded approach to the study of mind.
Integrating Computational Thinking Through Design-Based Learning
Author: Mustafa Saritepeci
language: en
Publisher: Springer Nature
Release Date: 2025-01-02
This book creates a theoretical framework to consider the integration of computational thinking (CT) into learning and teaching processes in different contexts from a design-based learning (DBL) perspective, and presents various intervention studies. The chapters each focus on a different aspect of CT integration through DBL, providing an overview and discussing the benefits of integrating CT into the curriculum. The book also discusses the design thinking process and how it can be used to promote CT, focusing on CT concepts and considering perspectives on how these concepts can be integrated into DBL activities. It also explores how artificial intelligence (AI)-based design-oriented learning activities can be used to develop students' CT skills, examines the information technology (IT) concept of pattern recognition, and provides examples of how this can be integrated into DBL activities. It presents practical examples on integrating CT into the teaching-learning process from a design-based learning perspective, summarizes approaches to assessing CT skills, and discusses them in the context of design-based learning. Lastly, this book also conducts a bibliometric analysis of publication and citation trends in computational thinking research conducted in design-based learning.
Integrating Computational and Neural Findings in Visual Object Perception
Author: Judith C. Peters
language: en
Publisher: Frontiers Media SA
Release Date: 2016-06-29
The articles in this Research Topic provide a state-of-the-art overview of the current progress in integrating computational and empirical research on visual object recognition. Developments in this exciting multidisciplinary field have recently gained momentum: High performance computing enabled breakthroughs in computer vision and computational neuroscience. In parallel, innovative machine learning applications have recently become available for datamining the large-scale, high resolution brain data acquired with (ultra-high field) fMRI and dense multi-unit recordings. Finally, new techniques to integrate such rich simulated and empirical datasets for direct model testing could aid the development of a comprehensive brain model. We hope that this Research Topic contributes to these encouraging advances and inspires future research avenues in computational and empirical neuroscience.