Increasing adoption of smart learning content for computer science education
Increasing adoption of smart learning content for computer science education
Computer science educators are increasingly using interactive learning content to enrich and enhance the pedagogy of their courses. A plethora of such learning content, specifically designed for computer science education, such as visualization, simulation, and web-based environments for learning programming, are now available for various courses. We call such content smart learning content. However, such learning content is seldom used outside its host site despite the benefits it could offer to learners everywhere. In this paper, we investigate the factors that impede dissemination of such content among the wider computer science education community. To accomplish this we surveyed educators, existing tools and recent research literature to identify the current state of the art and analyzed the characteristics of a large number of smart learning content examples along canonical dimensions. In our analysis we focused on examining the technical issues that must be resolved to support finding, integrating and customizing smart learning content in computer science courses. Finally, we propose a new architecture for hosting, integrating and disseminating smart learning content and discuss how it could be implemented based on existing protocols and standards.
classroom management, computer science education, dissemination, educational research, educational tools, intelligent tutoring systems, smart learning content, teaching with technology, technology adoption, technology integration
978-1-4503-3406-8
31-57
Brusilovsky, Peter
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Edwards, Stephen
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Kumar, Amruth
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Malmi, Lauri
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Benotti, Luciana
ada30eca-4283-40f9-b772-91f2c80c616f
Buck, Duane
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Ihantola, Petri
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Prince, Rikki
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Sirkia, Teemu
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Sosnovsky, Sergey
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Urquiza, Jaime
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Vihavainen, Arto
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Wollowski, Michael
e4cd59e8-f527-428b-b001-e3a73ed3b8af
June 2014
Brusilovsky, Peter
4022fc08-3697-40cb-bf1e-157a579763b6
Edwards, Stephen
c10617cf-dbf9-4f50-96f5-cc46ba1e1c28
Kumar, Amruth
95e8aa25-586b-4cef-961f-3492fbe6362f
Malmi, Lauri
756c1ec3-1514-4d99-a322-ce30e81b5ff8
Benotti, Luciana
ada30eca-4283-40f9-b772-91f2c80c616f
Buck, Duane
dc54e83e-d0fb-4e19-867a-e5b57af1e3fb
Ihantola, Petri
0ed26594-08fa-442a-8d72-99a8bfd1b59f
Prince, Rikki
3893615b-22d8-4740-8f2e-4ff9567d9266
Sirkia, Teemu
11c97190-7d0c-4bcb-9716-3366a9a4197b
Sosnovsky, Sergey
8b5400b8-ab96-4729-9d51-b0a2f177face
Urquiza, Jaime
26b6d083-cc98-4c2e-b5d6-69c263bfeb5f
Vihavainen, Arto
2993e3df-9b90-4a7d-952f-eb18cc45cb25
Wollowski, Michael
e4cd59e8-f527-428b-b001-e3a73ed3b8af
Brusilovsky, Peter, Edwards, Stephen, Kumar, Amruth, Malmi, Lauri, Benotti, Luciana, Buck, Duane, Ihantola, Petri, Prince, Rikki, Sirkia, Teemu, Sosnovsky, Sergey, Urquiza, Jaime, Vihavainen, Arto and Wollowski, Michael
(2014)
Increasing adoption of smart learning content for computer science education.
Proceedings of the Working Group Reports of the 2014 on Innovation \&\#38; Technology in Computer Science Education Conference, Uppsala, Sweden.
23 - 25 Jun 2014.
.
(doi:10.1145/2713609.2713611).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Computer science educators are increasingly using interactive learning content to enrich and enhance the pedagogy of their courses. A plethora of such learning content, specifically designed for computer science education, such as visualization, simulation, and web-based environments for learning programming, are now available for various courses. We call such content smart learning content. However, such learning content is seldom used outside its host site despite the benefits it could offer to learners everywhere. In this paper, we investigate the factors that impede dissemination of such content among the wider computer science education community. To accomplish this we surveyed educators, existing tools and recent research literature to identify the current state of the art and analyzed the characteristics of a large number of smart learning content examples along canonical dimensions. In our analysis we focused on examining the technical issues that must be resolved to support finding, integrating and customizing smart learning content in computer science courses. Finally, we propose a new architecture for hosting, integrating and disseminating smart learning content and discuss how it could be implemented based on existing protocols and standards.
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More information
Accepted/In Press date: February 2014
Published date: June 2014
Venue - Dates:
Proceedings of the Working Group Reports of the 2014 on Innovation \&\#38; Technology in Computer Science Education Conference, Uppsala, Sweden, 2014-06-23 - 2014-06-25
Keywords:
classroom management, computer science education, dissemination, educational research, educational tools, intelligent tutoring systems, smart learning content, teaching with technology, technology adoption, technology integration
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 375006
URI: http://eprints.soton.ac.uk/id/eprint/375006
ISBN: 978-1-4503-3406-8
PURE UUID: a5a49180-b9c5-4a66-8592-7d0066406006
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Date deposited: 11 Mar 2015 11:51
Last modified: 14 Mar 2024 19:18
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Contributors
Author:
Peter Brusilovsky
Author:
Stephen Edwards
Author:
Amruth Kumar
Author:
Lauri Malmi
Author:
Luciana Benotti
Author:
Duane Buck
Author:
Petri Ihantola
Author:
Rikki Prince
Author:
Teemu Sirkia
Author:
Sergey Sosnovsky
Author:
Jaime Urquiza
Author:
Arto Vihavainen
Author:
Michael Wollowski
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