Mass customization in continuing medical education: Automated extraction of E-Learning topics
Mass customization in continuing medical education: Automated extraction of E-Learning topics
To satisfy the individual learning needs of the high number of the Early Nutrition (EN) eAcademy participants, and to reduce development costs,the mass customization (MC) approach was applied. Key concepts of the learning needs, and corresponding learner subgroups with similar needs were extracted from learner-generated text using the natural language processing tool Reader‐Bench. Two collections of key concepts where built, which enabled EN experts to formulate topics for e-learning modules to be developed. Ongoing work will assess learner satisfaction and e-learning development costs, in order to evaluate the MC application in continuing medical education.
576 - 579
Nistor, Nicolae
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Dascalu, Mihai
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Gutu-Robu, Gabriel
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Trausan-Matu, Stefan
daebf5ac-ada8-43b7-8f5e-261592e619e4
Choi, Sunhea
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Haberman-Lawson, Ashley
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Brands, Brigitte
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Korner, Christian
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Koletzko, Berthold
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12 September 2017
Nistor, Nicolae
30a6f53a-254e-4eec-a04f-92a554ddddc0
Dascalu, Mihai
4514ff6a-4a9a-4eb9-87fa-4b93cd2bf5ed
Gutu-Robu, Gabriel
0c82967b-d2f5-4af7-b991-7a3fa4dc3108
Trausan-Matu, Stefan
daebf5ac-ada8-43b7-8f5e-261592e619e4
Choi, Sunhea
1d0e766d-38d5-4d01-aea7-639c4334334f
Haberman-Lawson, Ashley
fa914fa1-3b5a-41a6-9416-51145e17b112
Brands, Brigitte
e5a287ab-2354-4c21-80f2-e4af854b51b4
Korner, Christian
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Koletzko, Berthold
f3d6a0a1-bcda-4d80-aafe-f6fcd2d42c46
Nistor, Nicolae, Dascalu, Mihai, Gutu-Robu, Gabriel, Trausan-Matu, Stefan, Choi, Sunhea, Haberman-Lawson, Ashley, Brands, Brigitte, Korner, Christian and Koletzko, Berthold
(2017)
Mass customization in continuing medical education: Automated extraction of E-Learning topics.
European Conference on Technology Enhanced Learning, Tallinn University, Tallinn, Estonia.
12 - 15 Sep 2017.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
To satisfy the individual learning needs of the high number of the Early Nutrition (EN) eAcademy participants, and to reduce development costs,the mass customization (MC) approach was applied. Key concepts of the learning needs, and corresponding learner subgroups with similar needs were extracted from learner-generated text using the natural language processing tool Reader‐Bench. Two collections of key concepts where built, which enabled EN experts to formulate topics for e-learning modules to be developed. Ongoing work will assess learner satisfaction and e-learning development costs, in order to evaluate the MC application in continuing medical education.
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More information
Published date: 12 September 2017
Venue - Dates:
European Conference on Technology Enhanced Learning, Tallinn University, Tallinn, Estonia, 2017-09-12 - 2017-09-15
Identifiers
Local EPrints ID: 431182
URI: http://eprints.soton.ac.uk/id/eprint/431182
PURE UUID: 1bd31310-6f98-4c00-9ffe-69e90ca0ac92
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Date deposited: 24 May 2019 16:30
Last modified: 27 Apr 2022 12:30
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Contributors
Author:
Nicolae Nistor
Author:
Mihai Dascalu
Author:
Gabriel Gutu-Robu
Author:
Stefan Trausan-Matu
Author:
Ashley Haberman-Lawson
Author:
Brigitte Brands
Author:
Christian Korner
Author:
Berthold Koletzko
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