Shared Language: Linguistic Similarity in an Algebra Discussion Forum
Academic discourse communities and learning circles are characterized by collaboration, sharing commonalities in terms of social interactions and language. The discourse of these communities is composed of jargon, common terminologies, and similarities in how they construe and communicate meaning. T...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Computers |
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| Online Access: | https://www.mdpi.com/2073-431X/12/3/53 |
| _version_ | 1797612536947802112 |
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| author | Michelle P. Banawan Jinnie Shin Tracy Arner Renu Balyan Walter L. Leite Danielle S. McNamara |
| author_facet | Michelle P. Banawan Jinnie Shin Tracy Arner Renu Balyan Walter L. Leite Danielle S. McNamara |
| author_sort | Michelle P. Banawan |
| collection | DOAJ |
| description | Academic discourse communities and learning circles are characterized by collaboration, sharing commonalities in terms of social interactions and language. The discourse of these communities is composed of jargon, common terminologies, and similarities in how they construe and communicate meaning. This study examines the extent to which discourse reveals “shared language” among its participants that can promote inclusion or affinity. Shared language is characterized in terms of linguistic features and lexical, syntactical, and semantic similarities. We leverage a multi-method approach, including (1) feature engineering using state-of-the-art natural language processing techniques to select the most appropriate features, (2) the bag-of-words classification model to predict linguistic similarity, (3) explainable AI using the local interpretable model-agnostic explanations to explain the model, and (4) a two-step cluster analysis to extract innate groupings between linguistic similarity and emotion. We found that linguistic similarity within and between the threaded discussions was significantly varied, revealing the dynamic and unconstrained nature of the discourse. Further, word choice moderately predicted linguistic similarity between posts within threaded discussions (accuracy = 0.73; F1-score = 0.67), revealing that discourse participants’ lexical choices effectively discriminate between posts in terms of similarity. Lastly, cluster analysis reveals profiles that are distinctly characterized in terms of linguistic similarity, trust, and affect. Our findings demonstrate the potential role of linguistic similarity in supporting social cohesion and affinity within online discourse communities. |
| first_indexed | 2024-03-11T06:42:36Z |
| format | Article |
| id | doaj.art-3cd1c61fb41a4101ade88221df647590 |
| institution | Directory Open Access Journal |
| issn | 2073-431X |
| language | English |
| last_indexed | 2024-03-11T06:42:36Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Computers |
| spelling | doaj.art-3cd1c61fb41a4101ade88221df6475902023-11-17T10:26:25ZengMDPI AGComputers2073-431X2023-02-011235310.3390/computers12030053Shared Language: Linguistic Similarity in an Algebra Discussion ForumMichelle P. Banawan0Jinnie Shin1Tracy Arner2Renu Balyan3Walter L. Leite4Danielle S. McNamara5Asian Institute of Management, Makati City 1229, Metro Manila, PhilippinesCollege of Education, University of Florida, Gainesville, FL 32611, USADepartment of Psychology, Arizona State University, Tempe, AZ 85281, USASUNY, Old Westbury, NY 11568, USACollege of Education, University of Florida, Gainesville, FL 32611, USADepartment of Psychology, Arizona State University, Tempe, AZ 85281, USAAcademic discourse communities and learning circles are characterized by collaboration, sharing commonalities in terms of social interactions and language. The discourse of these communities is composed of jargon, common terminologies, and similarities in how they construe and communicate meaning. This study examines the extent to which discourse reveals “shared language” among its participants that can promote inclusion or affinity. Shared language is characterized in terms of linguistic features and lexical, syntactical, and semantic similarities. We leverage a multi-method approach, including (1) feature engineering using state-of-the-art natural language processing techniques to select the most appropriate features, (2) the bag-of-words classification model to predict linguistic similarity, (3) explainable AI using the local interpretable model-agnostic explanations to explain the model, and (4) a two-step cluster analysis to extract innate groupings between linguistic similarity and emotion. We found that linguistic similarity within and between the threaded discussions was significantly varied, revealing the dynamic and unconstrained nature of the discourse. Further, word choice moderately predicted linguistic similarity between posts within threaded discussions (accuracy = 0.73; F1-score = 0.67), revealing that discourse participants’ lexical choices effectively discriminate between posts in terms of similarity. Lastly, cluster analysis reveals profiles that are distinctly characterized in terms of linguistic similarity, trust, and affect. Our findings demonstrate the potential role of linguistic similarity in supporting social cohesion and affinity within online discourse communities.https://www.mdpi.com/2073-431X/12/3/53math discoursenatural language processinglinguistic similarityalgebradiscussion forums |
| spellingShingle | Michelle P. Banawan Jinnie Shin Tracy Arner Renu Balyan Walter L. Leite Danielle S. McNamara Shared Language: Linguistic Similarity in an Algebra Discussion Forum Computers math discourse natural language processing linguistic similarity algebra discussion forums |
| title | Shared Language: Linguistic Similarity in an Algebra Discussion Forum |
| title_full | Shared Language: Linguistic Similarity in an Algebra Discussion Forum |
| title_fullStr | Shared Language: Linguistic Similarity in an Algebra Discussion Forum |
| title_full_unstemmed | Shared Language: Linguistic Similarity in an Algebra Discussion Forum |
| title_short | Shared Language: Linguistic Similarity in an Algebra Discussion Forum |
| title_sort | shared language linguistic similarity in an algebra discussion forum |
| topic | math discourse natural language processing linguistic similarity algebra discussion forums |
| url | https://www.mdpi.com/2073-431X/12/3/53 |
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