| Records |
| Author |
Villalon, J.; Calvo, R.A. |
| Title |
Concept Maps as Cognitive Visualizations of Writing Assignments |
Type |
|
| Year |
2011 |
Publication |
Educational Technology & Society |
Abbreviated Journal |
Educ. Technol. Soc. |
| Volume |
14 |
Issue |
3 |
Pages |
16-27 |
| Keywords |
Concept Map Mining; Concept Map; Automatic generation; Text Mining; Writing |
| Abstract |
Writing assignments are ubiquitous in higher education. Writing develops not only communication skills, but also higher-level cognitive processes that facilitate deep learning. Cognitive visualizations, such as concept maps, can also be used as part of learning activities including as a form of scaffolding, or to trigger reflection by making conceptual understanding visible at different stages of the learning process. We present Concept Map Miner (CMM), a tool that automatically generates Concept Maps from students' compositions, and discuss its design and implementation, its integration to a writing support environment and its evaluation on a manually annotated corpora of university essays (N=43). Results show that complete CM, with concepts and labeled relationships, are possible and its precision depends the level of summarization (number of concepts) chosen. |
| Address |
[Villalon, J; Calvo, RA] Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW 2006, Australia, Email: jorge.villalon@uai.cl |
| Corporate Author |
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Thesis |
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| Publisher |
Ieee Computer Soc, Learning Technology Task Force |
Place of Publication |
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Editor |
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| Language |
English |
Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
|
Edition |
|
| ISSN |
1436-4522 |
ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
WOS:000294410900003 |
Approved |
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| Call Number |
UAI @ eduardo.moreno @ |
Serial |
160 |
| Permanent link to this record |
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| Author |
Villalon, J.; Calvo, R.A. |
| Title |
A Decoupled Architecture for Scalability in Text Mining Applications |
Type |
|
| Year |
2013 |
Publication |
Journal Of Universal Computer Science |
Abbreviated Journal |
J. Univers. Comput. Sci. |
| Volume |
19 |
Issue |
3 |
Pages |
406-427 |
| Keywords |
text mining; software architecture; automatic feedback |
| Abstract |
Sophisticated Text Mining features such as visualization, summarization, and clustering are becoming increasingly common in software applications. In Text Mining, documents are processed using techniques from different areas which can be very expensive in computation cost. This poses a scalability challenge for real-life applications in which users behavior can not be entirely predicted. This paper proposes a decoupled architecture for document processing in Text Mining applications, that allows applications to be scalable for large corpora and real-time processing. It contributes a software architecture designed around these requirements and presents TML, a Text Mining Library that implements the architecture. An experimental evaluation on its scalability using a standard corpus is also presented, and empirical evidence on its performance as part of an automated feedback system for writing tasks used by real students. |
| Address |
[Villalon, Jorge] Univ Adolfo Ibanez, Santiago, Chile, Email: jorge.villalon@uai.cl; |
| Corporate Author |
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Thesis |
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| Publisher |
Graz Univ Technolgoy, Inst Information Systems Computer Media-Iicm |
Place of Publication |
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Editor |
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| Language |
English |
Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
0948-695x |
ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
WOS:000322548600007 |
Approved |
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| Call Number |
UAI @ eduardo.moreno @ |
Serial |
303 |
| Permanent link to this record |
