Author A. Bansal
Biography: Abhinav Bansal obtained a Bachelor of Engineering degree (magna cum laude) with majors in computer science from Thapar Institute of Engineering and Technology, Thapar University, India in 2011. His contributions as a research assistant at the School of Mathematics and Computer Applications and School of Behavioral Sciences, Thapar University span areas of soft computing and fuzzy systems (AI). Abhinav has held visiting research studentships at the Flexible Learning Support Center, UK Defence Academy, and at the Department of Cognitive Neuroscience, International School for Advanced Studies, Italy, where he focused on cybernetics and cognitive psychology respectively. Currently, he works in cloud computing and mobile security research at Zscaler Inc.
Scott B. & Bansal A. (2013) A Cybernetic Computational Model for Learning and Skill Acquisition. Constructivist Foundations 9(1): 125–136. https://constructivist.info/9/1/125
Scott B. & Bansal A.
(
2013)
A Cybernetic Computational Model for Learning and Skill Acquisition.
Constructivist Foundations 9(1): 125–136.
Fulltext at https://constructivist.info/9/1/125
Context: Although there are rich descriptive accounts of skill acquisition in the literature, there are no satisfactory explanatory models of the cognitive processes involved. Problem: The aim of the paper is to explain some key phenomena frequently observed in the acquisition of motor skills: the loss of conscious access to knowledge of the structure of a skill and the awareness that an error has been made prior to the receipt of knowledge of results. Method: In the 1970s, the first author implemented a computer program model of the cognitive processes involved in learning and skill acquisition, based on a series of empirical investigations. Recently, with assistance from the second author, the model has been reviewed, updated and re-implemented. Result: The model provides a constructivist account of skill acquisition and associated phenomena. Implications: The model adds to the understanding of motor skill acquisition and will be of interest to researchers and practitioners in physical therapy and sports science. It is also provides a constructivist cognitive architecture that can be fruitfully contrasted with non-constructivist cognitive architectures well-known in cognitive science.
Scott B. & Bansal A. (2014) Learning about learning: A cybernetic model of skill acquisition. Kybernetes 43(9/10): 1399–1411. https://cepa.info/1283
Scott B. & Bansal A.
(
2014)
Learning about learning: A cybernetic model of skill acquisition.
Kybernetes 43(9/10): 1399–1411.
Fulltext at https://cepa.info/1283
Purpose: The aim of the paper is to explain some phenomena observed in the acquisition of motor skills: the loss of conscious access to knowledge of the structure of a skill and the awareness that an error has been made prior to the receipt of knowledge of results. Although there are rich descriptive accounts of skill acquisition in the literature, there are no satisfactory explanatory models of the cognitive processes involved. The paper provides such a model. Method: In the 1970s, the first author implemented a computer program model of the cognitive processes involved in learning and skill acquisition, based on a series of empirical investigations. Recently, with assistance from the second author, the model has been reviewed, updated and re-implemented. The paper sets this work in the broader context of a theory of learning and teaching, conversation theory. Findings: The model provides a constructivist account of skill acquisition and associated phenomena. The model provides theoretical foundations for conversation theory. Implications: The model adds to the understanding of motor skill acquisition and to the understanding of processes of learning and teaching in general. Originality/value – The model and its interpretation are an original contribution to the skills acquisition literature.
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