Evolution Is not enough: Revolutionizing Current Learning Environments to Smart Learning Environments

Advances in technology in recent years have changed the learning behaviors of learners and reshaped teaching methods. This had resulted in several challenges faced by current educational systems, such as an increased focus on informal learning, a growing gap of prior knowledge among students in clas...

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Bibliographic Details
Published in:International journal of artificial intelligence in education 2016-06, Vol.26 (2), p.561-581
Main Authors: Kinshuk, Chen, Nian-Shing, Cheng, I-Ling, Chew, Sie Wai
Format: Article
Language:English
Subjects:
Artificial Intelligence
Classrooms
Computer Science
Computers and Education
Curricula
Distance learning
Education
Educational Environment
Educational Technology
Electronic Learning
Employees
Employment
Informal Education
Information technology
Internet
Knowledge
Learning Processes
Learning Strategies
Lifelong learning
New technology
Online instruction
Pedagogy
Reengineering
School environment
Schools
Skills
Students
Teachers
Teaching methods
Technology
Universities
User Interfaces and Human Computer Interaction
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Summary:Advances in technology in recent years have changed the learning behaviors of learners and reshaped teaching methods. This had resulted in several challenges faced by current educational systems, such as an increased focus on informal learning, a growing gap of prior knowledge among students in classrooms and a mismatch between individual career choices and the development of the work force. This paper looks at these challenges with a view towards revolutionizing current learning environments to smart learning environments and provides new suggestions for technological solutions. Furthermore, this paper argues for a transformation from the current learning environments to smart learning environments. This is to be achieved by reengineering the fundamental structure and operations of current educational systems to better integrate these new technologies with the required pedagogical shift. The future perspectives of smart learning environments are reviewed and shared, through examples of emerging innovations such as the flipped classroom, game based learning, gesture based learning, along with pedagogical shifts, such as life-long learning portfolio maintenance, team teaching, and separation of learning and competency assessment.
ISSN:1560-4292
1560-4306
DOI:10.1007/s40593-016-0108-x