Learning animal concepts with semantic hierarchy-based location-aware image browsing and ecology task generator

Ming Chi Liu, Dunwei Wen, Kinshuk, Yueh-Min Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This study firstly notices that lack of overall ecologic knowledge structure is one critical reason for learners' failure of keyword search. Therefore in order to identify their current interesting sight, the dynamic location-aware and semantic hierarchy (DLASH) is presented for learners to browse images. This hierarchy mainly considers that plant and animal species are discontinuously distributed around the planet, hence this hierarchy combines location information for constructing the semantic hierarchy through WordNet. After learners confirmed their intent information needs, this study also provides learners three kinds of image-based learning tasks to learn: similar-images comparison, concept map fill-out and placement map fill-out. These tasks are designed based on Ausubel's advance organizers and improved it by integrating three new properties: Displaying the nodes of the concepts by authentic images, automatically generating the knowledge structure by computer and interactively integrating new and old knowledge.

Original languageEnglish
Title of host publication6th IEEE International Conference on Wireless, Mobile and Ubiquitous Technologies in Education, WMUTE 2010
Subtitle of host publicationMobile Social Media for Learning and Education in Formal and Informal Settings
Pages42-49
Number of pages8
DOIs
Publication statusPublished - 2010 Jul 16
Event6th IEEE International Conference on Wireless, Mobile and Ubiquitous Technologies in Education, WMUTE 2010 - Kaohsiung, Taiwan
Duration: 2010 Apr 122010 Apr 16

Publication series

Name6th IEEE International Conference on Wireless, Mobile and Ubiquitous Technologies in Education, WMUTE 2010: Mobile Social Media for Learning and Education in Formal and Informal Settings

Other

Other6th IEEE International Conference on Wireless, Mobile and Ubiquitous Technologies in Education, WMUTE 2010
CountryTaiwan
CityKaohsiung
Period10-04-1210-04-16

Fingerprint

Ecology
Animals
Semantics
Planets

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

Liu, M. C., Wen, D., Kinshuk, & Huang, Y-M. (2010). Learning animal concepts with semantic hierarchy-based location-aware image browsing and ecology task generator. In 6th IEEE International Conference on Wireless, Mobile and Ubiquitous Technologies in Education, WMUTE 2010: Mobile Social Media for Learning and Education in Formal and Informal Settings (pp. 42-49). [5476536] (6th IEEE International Conference on Wireless, Mobile and Ubiquitous Technologies in Education, WMUTE 2010: Mobile Social Media for Learning and Education in Formal and Informal Settings). https://doi.org/10.1109/WMUTE.2010.51
Liu, Ming Chi ; Wen, Dunwei ; Kinshuk, ; Huang, Yueh-Min. / Learning animal concepts with semantic hierarchy-based location-aware image browsing and ecology task generator. 6th IEEE International Conference on Wireless, Mobile and Ubiquitous Technologies in Education, WMUTE 2010: Mobile Social Media for Learning and Education in Formal and Informal Settings. 2010. pp. 42-49 (6th IEEE International Conference on Wireless, Mobile and Ubiquitous Technologies in Education, WMUTE 2010: Mobile Social Media for Learning and Education in Formal and Informal Settings).
@inproceedings{3f094dc5f45d42eabdd40bd9cbcbc3f6,
title = "Learning animal concepts with semantic hierarchy-based location-aware image browsing and ecology task generator",
abstract = "This study firstly notices that lack of overall ecologic knowledge structure is one critical reason for learners' failure of keyword search. Therefore in order to identify their current interesting sight, the dynamic location-aware and semantic hierarchy (DLASH) is presented for learners to browse images. This hierarchy mainly considers that plant and animal species are discontinuously distributed around the planet, hence this hierarchy combines location information for constructing the semantic hierarchy through WordNet. After learners confirmed their intent information needs, this study also provides learners three kinds of image-based learning tasks to learn: similar-images comparison, concept map fill-out and placement map fill-out. These tasks are designed based on Ausubel's advance organizers and improved it by integrating three new properties: Displaying the nodes of the concepts by authentic images, automatically generating the knowledge structure by computer and interactively integrating new and old knowledge.",
author = "Liu, {Ming Chi} and Dunwei Wen and Kinshuk and Yueh-Min Huang",
year = "2010",
month = "7",
day = "16",
doi = "10.1109/WMUTE.2010.51",
language = "English",
isbn = "9780769539928",
series = "6th IEEE International Conference on Wireless, Mobile and Ubiquitous Technologies in Education, WMUTE 2010: Mobile Social Media for Learning and Education in Formal and Informal Settings",
pages = "42--49",
booktitle = "6th IEEE International Conference on Wireless, Mobile and Ubiquitous Technologies in Education, WMUTE 2010",

}

Liu, MC, Wen, D, Kinshuk, & Huang, Y-M 2010, Learning animal concepts with semantic hierarchy-based location-aware image browsing and ecology task generator. in 6th IEEE International Conference on Wireless, Mobile and Ubiquitous Technologies in Education, WMUTE 2010: Mobile Social Media for Learning and Education in Formal and Informal Settings., 5476536, 6th IEEE International Conference on Wireless, Mobile and Ubiquitous Technologies in Education, WMUTE 2010: Mobile Social Media for Learning and Education in Formal and Informal Settings, pp. 42-49, 6th IEEE International Conference on Wireless, Mobile and Ubiquitous Technologies in Education, WMUTE 2010, Kaohsiung, Taiwan, 10-04-12. https://doi.org/10.1109/WMUTE.2010.51

Learning animal concepts with semantic hierarchy-based location-aware image browsing and ecology task generator. / Liu, Ming Chi; Wen, Dunwei; Kinshuk, ; Huang, Yueh-Min.

6th IEEE International Conference on Wireless, Mobile and Ubiquitous Technologies in Education, WMUTE 2010: Mobile Social Media for Learning and Education in Formal and Informal Settings. 2010. p. 42-49 5476536 (6th IEEE International Conference on Wireless, Mobile and Ubiquitous Technologies in Education, WMUTE 2010: Mobile Social Media for Learning and Education in Formal and Informal Settings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Learning animal concepts with semantic hierarchy-based location-aware image browsing and ecology task generator

AU - Liu, Ming Chi

AU - Wen, Dunwei

AU - Kinshuk,

AU - Huang, Yueh-Min

PY - 2010/7/16

Y1 - 2010/7/16

N2 - This study firstly notices that lack of overall ecologic knowledge structure is one critical reason for learners' failure of keyword search. Therefore in order to identify their current interesting sight, the dynamic location-aware and semantic hierarchy (DLASH) is presented for learners to browse images. This hierarchy mainly considers that plant and animal species are discontinuously distributed around the planet, hence this hierarchy combines location information for constructing the semantic hierarchy through WordNet. After learners confirmed their intent information needs, this study also provides learners three kinds of image-based learning tasks to learn: similar-images comparison, concept map fill-out and placement map fill-out. These tasks are designed based on Ausubel's advance organizers and improved it by integrating three new properties: Displaying the nodes of the concepts by authentic images, automatically generating the knowledge structure by computer and interactively integrating new and old knowledge.

AB - This study firstly notices that lack of overall ecologic knowledge structure is one critical reason for learners' failure of keyword search. Therefore in order to identify their current interesting sight, the dynamic location-aware and semantic hierarchy (DLASH) is presented for learners to browse images. This hierarchy mainly considers that plant and animal species are discontinuously distributed around the planet, hence this hierarchy combines location information for constructing the semantic hierarchy through WordNet. After learners confirmed their intent information needs, this study also provides learners three kinds of image-based learning tasks to learn: similar-images comparison, concept map fill-out and placement map fill-out. These tasks are designed based on Ausubel's advance organizers and improved it by integrating three new properties: Displaying the nodes of the concepts by authentic images, automatically generating the knowledge structure by computer and interactively integrating new and old knowledge.

UR - http://www.scopus.com/inward/record.url?scp=77954463012&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77954463012&partnerID=8YFLogxK

U2 - 10.1109/WMUTE.2010.51

DO - 10.1109/WMUTE.2010.51

M3 - Conference contribution

SN - 9780769539928

T3 - 6th IEEE International Conference on Wireless, Mobile and Ubiquitous Technologies in Education, WMUTE 2010: Mobile Social Media for Learning and Education in Formal and Informal Settings

SP - 42

EP - 49

BT - 6th IEEE International Conference on Wireless, Mobile and Ubiquitous Technologies in Education, WMUTE 2010

ER -

Liu MC, Wen D, Kinshuk , Huang Y-M. Learning animal concepts with semantic hierarchy-based location-aware image browsing and ecology task generator. In 6th IEEE International Conference on Wireless, Mobile and Ubiquitous Technologies in Education, WMUTE 2010: Mobile Social Media for Learning and Education in Formal and Informal Settings. 2010. p. 42-49. 5476536. (6th IEEE International Conference on Wireless, Mobile and Ubiquitous Technologies in Education, WMUTE 2010: Mobile Social Media for Learning and Education in Formal and Informal Settings). https://doi.org/10.1109/WMUTE.2010.51