Supporting the Guide on the SIDE

Kang, Moon-Young; Chaudhuri, Sourish; Kumar, Rohit; Wang, Yi-Chia; Rosé, Eric R.; Rosé, Carolyn Penstein; Cui, Yue

doi:10.1007/978-3-540-69132-7_110

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…ATS has been applied in Educational environments mainly to: (a) summarize contents (Mihalcea & Ceylan, ); (b) extract keyphrase (Sándor & Vorndran, ); (c) create visual models from student texts (Reategui, Klemann, & Finco, ); (d) improve different applications (Jorge‐Botana, Luzón, Gómez‐Veiga, & Martín‐Cordero, ; Sung, Liao, Chang, Chen, & Chang, ). Besides the mentioned applications, ATS techniques are used to deal with traditional educational resources drawbacks, for example: (a) Automatic evaluation of forums posts (Azevedo et al, ); (b) Assist students to write academic texts (Whitelock, Twiner, Richardson, Field, & Pulman, ); Improve collaborative learning (Kang et al, ); (c) Evaluate student feedback (Nitin, Swapna, & Shankararaman, ).…”

Section: Text Mining Methods and Techniquesmentioning

confidence: 99%

Text mining in education

Mello

Andre

Pinheiro

et al. 2019

WIREs Data Min & Knowl

143

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The explosive growth of online education environments is generating a massive volume of data, specially in text format from forums, chats, social networks, assessments, essays, among others. It produces exciting challenges on how to mine text data in order to find useful knowledge for educational stakeholders. Despite the increasing number of educational applications of text mining published recently, we have not found any paper surveying them. In this line, this work presents a systematic overview of the current status of the Educational Text Mining field. Our final goal is to answer three main research questions: Which are the text mining techniques most used in educational environments? Which are the most used educational resources? And which are the main applications or educational goals? Finally, we outline the conclusions and the more interesting future trends. This article is categorized under: Application Areas > Education and Learning Ensemble Methods > Text Mining

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Section: Text Mining Methods and Techniquesmentioning

confidence: 99%

Text mining in education

Mello

Andre

Pinheiro

et al. 2019

WIREs Data Min & Knowl

143

View full text Add to dashboard Cite

show abstract

“…We are currently working to improve the summarization algorithms. A relevant information technology that we plan to repurpose and reuse is the Summarization Integrated Development Environment (SIDE) 30 . SIDE uses text segmentation and classification technology to find structure in text that can then be used to locate important passages of different types.…”

Section: Text Summarizationmentioning

confidence: 99%

Designwebs: Toward The Creation Of An Interactive Navigational Tool To Assist And Support Engineering Design Learning

Oberoi¹,

Finger²

2009 Annual Conference &Amp; Exposition Proceedings

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For both student and professional design teams, knowledge generated during the design process frequently goes uncaptured, and when it is captured, it is usually poorly organized and buried in obscure documents. The design and development process requires that collaborators build and retain knowledge through discussions, creating documents and sharing artifacts. Effective capture of both semantic knowledge and episodic knowledge can have many benefits for both student and professional design teams. The key to supporting these knowledge building problems is to develop an infrastructure that supports effective knowledge management. In this paper, we describe a framework for DesignWebs, which are dynamic, navigable networks of the documents and conversations created during the design process. A DesignWeb would enable users to see evolving connections between concepts by using a navigable web-based interface that synthesizes the design knowledge from multiple sources of information.

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