Identification of essential attributes in conclusions of student reports
Abstract This work seeks to help students in improving their first research reports, based on natural language processing techniques. We present a Conclusion model that includes three schemes: Goal Connectedness, Judgment and Speculation. These subsystems try to account for the main expected attribu...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2019-11-01
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| Series: | Smart Learning Environments |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s40561-019-0090-5 |
| _version_ | 1818300624764141568 |
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| author | Aurelio López-López Samuel González-López Jesús Miguel García-Gorrostieta |
| author_facet | Aurelio López-López Samuel González-López Jesús Miguel García-Gorrostieta |
| author_sort | Aurelio López-López |
| collection | DOAJ |
| description | Abstract This work seeks to help students in improving their first research reports, based on natural language processing techniques. We present a Conclusion model that includes three schemes: Goal Connectedness, Judgment and Speculation. These subsystems try to account for the main expected attributes in conclusions, specifically the Connectedness with the general objective of the research, the evidence of value Judgments, and the presence of Future work as a result of the student reflection after the inquiry. The article details the schemes, a validation of the approach in an annotated corpus, and a pilot test with undergraduate students. Results of a prior validation indicate that student writings indeed adhere to such attributes, especially at graduate level. Statistical results of the pilot test showed that undergraduate students in an experimental group achieved improved conclusion content when compared with the control group. |
| first_indexed | 2024-12-13T05:10:05Z |
| format | Article |
| id | doaj.art-d9c0cbf5b2bb477086dd64ddb7e0580d |
| institution | Directory Open Access Journal |
| issn | 2196-7091 |
| language | English |
| last_indexed | 2024-12-13T05:10:05Z |
| publishDate | 2019-11-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Smart Learning Environments |
| spelling | doaj.art-d9c0cbf5b2bb477086dd64ddb7e0580d2022-12-21T23:58:34ZengSpringerOpenSmart Learning Environments2196-70912019-11-016111310.1186/s40561-019-0090-5Identification of essential attributes in conclusions of student reportsAurelio López-López0Samuel González-López1Jesús Miguel García-Gorrostieta2Computational Sciences Department, Instituto Nacional de Astrofísica, Óptica y ElectrónicaDepartment of Information Technologies, Technological University of NogalesComputational Sciences Department, Instituto Nacional de Astrofísica, Óptica y ElectrónicaAbstract This work seeks to help students in improving their first research reports, based on natural language processing techniques. We present a Conclusion model that includes three schemes: Goal Connectedness, Judgment and Speculation. These subsystems try to account for the main expected attributes in conclusions, specifically the Connectedness with the general objective of the research, the evidence of value Judgments, and the presence of Future work as a result of the student reflection after the inquiry. The article details the schemes, a validation of the approach in an annotated corpus, and a pilot test with undergraduate students. Results of a prior validation indicate that student writings indeed adhere to such attributes, especially at graduate level. Statistical results of the pilot test showed that undergraduate students in an experimental group achieved improved conclusion content when compared with the control group.http://link.springer.com/article/10.1186/s40561-019-0090-5Natural language processingAutomated text evaluationConclusion formulationGoal connectednessReports assessment |
| spellingShingle | Aurelio López-López Samuel González-López Jesús Miguel García-Gorrostieta Identification of essential attributes in conclusions of student reports Smart Learning Environments Natural language processing Automated text evaluation Conclusion formulation Goal connectedness Reports assessment |
| title | Identification of essential attributes in conclusions of student reports |
| title_full | Identification of essential attributes in conclusions of student reports |
| title_fullStr | Identification of essential attributes in conclusions of student reports |
| title_full_unstemmed | Identification of essential attributes in conclusions of student reports |
| title_short | Identification of essential attributes in conclusions of student reports |
| title_sort | identification of essential attributes in conclusions of student reports |
| topic | Natural language processing Automated text evaluation Conclusion formulation Goal connectedness Reports assessment |
| url | http://link.springer.com/article/10.1186/s40561-019-0090-5 |
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