Parts of speech in Bloom's Taxonomy Classification
This paper analyses parts of speech in a training corpus with 13,189 learning outcomes in which Bloom’s Taxonomy levels were previously classified by human experts for 3,496 subjects offered at an Australian university. This paper explores the automatic identification of verbs and other parts of spe...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
2018
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| Online Access: | http://2018conference.ascilite.org/wp-content/uploads/2018/12/ASCILITE-2018-Proceedings-Final.pdf http://hdl.handle.net/20.500.11937/75864 |
| _version_ | 1848763568666705920 |
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| author | von Konsky, Brian Zheng, longwei Parkin, eric Huband, Simon Gibson, David |
| author2 | Campbell, Malcolm |
| author_facet | Campbell, Malcolm von Konsky, Brian Zheng, longwei Parkin, eric Huband, Simon Gibson, David |
| author_sort | von Konsky, Brian |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper analyses parts of speech in a training corpus with 13,189 learning outcomes in which Bloom’s Taxonomy levels were previously classified by human experts for 3,496 subjects offered at an Australian university. This paper explores the automatic identification of verbs and other parts of speech impacting the semantic meaning and Bloom’s classification of learning outcome statements. The frequency with which words in learning outcomes appear as different parts of speech and at different Bloom’s levels is described as a preliminary step of a larger project that aims to automatically classify Bloom’s levels using a combination of table lookup and machine learning approaches. It is indicated that automated parts of speech classification can assist human learning and teaching designers to write clearer learning outcome statements. This is in addition to playing a role in automated Bloom’s Taxonomy classification, and identifying cases requiring |
| first_indexed | 2025-11-14T11:05:32Z |
| format | Conference Paper |
| id | curtin-20.500.11937-75864 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:05:32Z |
| publishDate | 2018 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-758642019-07-03T00:27:11Z Parts of speech in Bloom's Taxonomy Classification von Konsky, Brian Zheng, longwei Parkin, eric Huband, Simon Gibson, David Campbell, Malcolm Willems, Julie Adachi, Chie Blake, Damian Doherty, Iain Krishnan, Siva Macfarlane, Susie Ngo, Leanne O'Donnell, Marcus Palmer, Stuart Riddell, Lynn Story, Ian Suri, Harsh Tai, Joanna Bloom's Taxonomy Learning Outcomes Machine Learning Parts of speech This paper analyses parts of speech in a training corpus with 13,189 learning outcomes in which Bloom’s Taxonomy levels were previously classified by human experts for 3,496 subjects offered at an Australian university. This paper explores the automatic identification of verbs and other parts of speech impacting the semantic meaning and Bloom’s classification of learning outcome statements. The frequency with which words in learning outcomes appear as different parts of speech and at different Bloom’s levels is described as a preliminary step of a larger project that aims to automatically classify Bloom’s levels using a combination of table lookup and machine learning approaches. It is indicated that automated parts of speech classification can assist human learning and teaching designers to write clearer learning outcome statements. This is in addition to playing a role in automated Bloom’s Taxonomy classification, and identifying cases requiring 2018 Conference Paper http://hdl.handle.net/20.500.11937/75864 http://2018conference.ascilite.org/wp-content/uploads/2018/12/ASCILITE-2018-Proceedings-Final.pdf http://creativecommons.org/licenses/by/4.0/ fulltext |
| spellingShingle | Bloom's Taxonomy Learning Outcomes Machine Learning Parts of speech von Konsky, Brian Zheng, longwei Parkin, eric Huband, Simon Gibson, David Parts of speech in Bloom's Taxonomy Classification |
| title | Parts of speech in Bloom's Taxonomy Classification |
| title_full | Parts of speech in Bloom's Taxonomy Classification |
| title_fullStr | Parts of speech in Bloom's Taxonomy Classification |
| title_full_unstemmed | Parts of speech in Bloom's Taxonomy Classification |
| title_short | Parts of speech in Bloom's Taxonomy Classification |
| title_sort | parts of speech in bloom's taxonomy classification |
| topic | Bloom's Taxonomy Learning Outcomes Machine Learning Parts of speech |
| url | http://2018conference.ascilite.org/wp-content/uploads/2018/12/ASCILITE-2018-Proceedings-Final.pdf http://hdl.handle.net/20.500.11937/75864 |