Smart learning environments, and not so smart learning environments: a systems view

Abstract It is fruitless to talk of smart learning environments unless we know what is meant by those that are not smart. All environments influence behaviour and, by and large, are in turn influenced by the behaviour of the agents of which they are at least partially comprised. If there were such t...

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Main Author: Jon Dron
Format: Article
Language:English
Published: SpringerOpen 2018-10-01
Series:Smart Learning Environments
Subjects:
Online Access:http://link.springer.com/article/10.1186/s40561-018-0075-9
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author Jon Dron
author_facet Jon Dron
author_sort Jon Dron
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description Abstract It is fruitless to talk of smart learning environments unless we know what is meant by those that are not smart. All environments influence behaviour and, by and large, are in turn influenced by the behaviour of the agents of which they are at least partially comprised. If there were such thing as a neutral learning environment it would support all forms of learning of any skill or knowledge equally well which, manifestly, none do. In this paper, I will argue that most in-person learning environments tend to encourage some kinds of counter-productive behaviours and are thus, at a systems level, positively stupid. While we may, with care, time, and ingenuity in our teaching, overcome some of the worst consequences, the costs and stresses caused by doing so are high. Much of the skill of contemporary teaching, and of the smart learning environments we create, is concerned with compensating for problems that are almost entirely caused by the environments in which we teach. Our online learning environments have often replicated and even magnified such stupidity, mainly through focusing on the contingent trappings of in-person teaching rather than the problems that those trappings were originally designed to solve. I go on to consider smartness as an emergent attribute arising out of the interplay of structural and dynamic elements in a learning environment, the most significant of which (especially in an online context) being its creative, independent, and motivated human participants. I will discuss ways in which we can orchestrate systems to create the conditions for (but not necessarily to entail) learning environments that can truly be described as ‘smart’.
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spelling doaj.art-7e65a89115f54f2c8bce1a9844b447242022-12-21T18:26:21ZengSpringerOpenSmart Learning Environments2196-70912018-10-015112010.1186/s40561-018-0075-9Smart learning environments, and not so smart learning environments: a systems viewJon Dron0Athabasca UniversityAbstract It is fruitless to talk of smart learning environments unless we know what is meant by those that are not smart. All environments influence behaviour and, by and large, are in turn influenced by the behaviour of the agents of which they are at least partially comprised. If there were such thing as a neutral learning environment it would support all forms of learning of any skill or knowledge equally well which, manifestly, none do. In this paper, I will argue that most in-person learning environments tend to encourage some kinds of counter-productive behaviours and are thus, at a systems level, positively stupid. While we may, with care, time, and ingenuity in our teaching, overcome some of the worst consequences, the costs and stresses caused by doing so are high. Much of the skill of contemporary teaching, and of the smart learning environments we create, is concerned with compensating for problems that are almost entirely caused by the environments in which we teach. Our online learning environments have often replicated and even magnified such stupidity, mainly through focusing on the contingent trappings of in-person teaching rather than the problems that those trappings were originally designed to solve. I go on to consider smartness as an emergent attribute arising out of the interplay of structural and dynamic elements in a learning environment, the most significant of which (especially in an online context) being its creative, independent, and motivated human participants. I will discuss ways in which we can orchestrate systems to create the conditions for (but not necessarily to entail) learning environments that can truly be described as ‘smart’.http://link.springer.com/article/10.1186/s40561-018-0075-9LearningEnvironmentTechnologyLearning technologySmart learning environmentEducation
spellingShingle Jon Dron
Smart learning environments, and not so smart learning environments: a systems view
Smart Learning Environments
Learning
Environment
Technology
Learning technology
Smart learning environment
Education
title Smart learning environments, and not so smart learning environments: a systems view
title_full Smart learning environments, and not so smart learning environments: a systems view
title_fullStr Smart learning environments, and not so smart learning environments: a systems view
title_full_unstemmed Smart learning environments, and not so smart learning environments: a systems view
title_short Smart learning environments, and not so smart learning environments: a systems view
title_sort smart learning environments and not so smart learning environments a systems view
topic Learning
Environment
Technology
Learning technology
Smart learning environment
Education
url http://link.springer.com/article/10.1186/s40561-018-0075-9
work_keys_str_mv AT jondron smartlearningenvironmentsandnotsosmartlearningenvironmentsasystemsview