Using Natural Language Processing and Content Analysis to Enhance Virtual Discussion Groups (2024)

Abstract

Virtual discussion groups are a critical aspect to online learning environments and are implemented in course and learning management systems such as Blackboard, Desire2Learn, and Angel. Combining Natural Language Processing with Content Analysis (NLPwCA) has the potential to reveal new and novel methods toward impacting learning and comprehension. NLPwCA can parse the text of the discussions and make recommendations from various academic data sources such as Science Direct, EBSCO, or Google Scholar. Similar systems have been implemented to assist users with technology where a user has the ability to click and enter into an interactive help environment which employs crowdsourcing to answer user questions (Chilana, Ko, & Wobbrock, 2012). Our proposal is to develop a system that uses NLP to process the text of a discussion group and content analysis to extract key topics. Next, terms in the discussion group would be annotated and the learner would be able to follow the annotated links to scholarly literature. This research has the ability to improve online learning outcomes while integrating scholarly library resources into learning management systems.

Original languageAmerican English
StatePublished - Jun 19 2014
EventBusiness and Applied Sciences Academy of North America International Conference (BAASANA ) - Mahwah, NJ
Duration: Jun 19 2014 → …

Conference

ConferenceBusiness and Applied Sciences Academy of North America International Conference (BAASANA )
Period06/19/14 → …

Keywords

  • Content analysis
  • Natural language processing
  • Virtual discussion groups

DC Disciplines

  • Engineering
  • Computer Sciences

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Wimmer, H., Hall, K. D., & Powell, L. M. (2014). Using Natural Language Processing and Content Analysis to Enhance Virtual Discussion Groups. Business and Applied Sciences Academy of North America International Conference (BAASANA ).

Wimmer, Hayden ; Hall, Kenneth D. ; Powell, Loreen M. / Using Natural Language Processing and Content Analysis to Enhance Virtual Discussion Groups. Business and Applied Sciences Academy of North America International Conference (BAASANA ).

@conference{3df0d13bd6144559a8b1db38ba89df88,

title = "Using Natural Language Processing and Content Analysis to Enhance Virtual Discussion Groups",

abstract = " Virtual discussion groups are a critical aspect to online learning environments and are implemented in course and learning management systems such as Blackboard, Desire2Learn, and Angel. Combining Natural Language Processing with Content Analysis (NLPwCA) has the potential to reveal new and novel methods toward impacting learning and comprehension. NLPwCA can parse the text of the discussions and make recommendations from various academic data sources such as Science Direct, EBSCO, or Google Scholar. Similar systems have been implemented to assist users with technology where a user has the ability to click and enter into an interactive help environment which employs crowdsourcing to answer user questions (Chilana, Ko, & Wobbrock, 2012). Our proposal is to develop a system that uses NLP to process the text of a discussion group and content analysis to extract key topics. Next, terms in the discussion group would be annotated and the learner would be able to follow the annotated links to scholarly literature. This research has the ability to improve online learning outcomes while integrating scholarly library resources into learning management systems.",

keywords = "Content analysis, Natural language processing, Virtual discussion groups",

author = "Hayden Wimmer and Hall, {Kenneth D.} and Powell, {Loreen M.}",

year = "2014",

month = jun,

day = "19",

language = "American English",

note = "Business and Applied Sciences Academy of North America International Conference (BAASANA ) ; Conference date: 19-06-2014",

}

Wimmer, H, Hall, KD & Powell, LM 2014, 'Using Natural Language Processing and Content Analysis to Enhance Virtual Discussion Groups', Business and Applied Sciences Academy of North America International Conference (BAASANA ), 06/19/14.

Using Natural Language Processing and Content Analysis to Enhance Virtual Discussion Groups. / Wimmer, Hayden; Hall, Kenneth D.; Powell, Loreen M.
2014. Business and Applied Sciences Academy of North America International Conference (BAASANA ).

Research output: Contribution to conferencePresentation

TY - CONF

T1 - Using Natural Language Processing and Content Analysis to Enhance Virtual Discussion Groups

AU - Wimmer, Hayden

AU - Hall, Kenneth D.

AU - Powell, Loreen M.

PY - 2014/6/19

Y1 - 2014/6/19

N2 - Virtual discussion groups are a critical aspect to online learning environments and are implemented in course and learning management systems such as Blackboard, Desire2Learn, and Angel. Combining Natural Language Processing with Content Analysis (NLPwCA) has the potential to reveal new and novel methods toward impacting learning and comprehension. NLPwCA can parse the text of the discussions and make recommendations from various academic data sources such as Science Direct, EBSCO, or Google Scholar. Similar systems have been implemented to assist users with technology where a user has the ability to click and enter into an interactive help environment which employs crowdsourcing to answer user questions (Chilana, Ko, & Wobbrock, 2012). Our proposal is to develop a system that uses NLP to process the text of a discussion group and content analysis to extract key topics. Next, terms in the discussion group would be annotated and the learner would be able to follow the annotated links to scholarly literature. This research has the ability to improve online learning outcomes while integrating scholarly library resources into learning management systems.

AB - Virtual discussion groups are a critical aspect to online learning environments and are implemented in course and learning management systems such as Blackboard, Desire2Learn, and Angel. Combining Natural Language Processing with Content Analysis (NLPwCA) has the potential to reveal new and novel methods toward impacting learning and comprehension. NLPwCA can parse the text of the discussions and make recommendations from various academic data sources such as Science Direct, EBSCO, or Google Scholar. Similar systems have been implemented to assist users with technology where a user has the ability to click and enter into an interactive help environment which employs crowdsourcing to answer user questions (Chilana, Ko, & Wobbrock, 2012). Our proposal is to develop a system that uses NLP to process the text of a discussion group and content analysis to extract key topics. Next, terms in the discussion group would be annotated and the learner would be able to follow the annotated links to scholarly literature. This research has the ability to improve online learning outcomes while integrating scholarly library resources into learning management systems.

KW - Content analysis

KW - Natural language processing

KW - Virtual discussion groups

UR - http://berkeleycollege.edu/press_release_images/IB_AA_AMaharaj_061915.pdf

M3 - Presentation

T2 - Business and Applied Sciences Academy of North America International Conference (BAASANA )

Y2 - 19 June 2014

ER -

Wimmer H, Hall KD, Powell LM. Using Natural Language Processing and Content Analysis to Enhance Virtual Discussion Groups. 2014. Business and Applied Sciences Academy of North America International Conference (BAASANA ).

Using Natural Language Processing and Content Analysis to Enhance Virtual Discussion Groups (2024)

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