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- Publisher Website: 10.1108/IJSHE-02-2023-0050
- Scopus: eid_2-s2.0-85178905706
- WOS: WOS:001116598900001
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Article: Evaluation of UN SDG-related formal learning activities in a university common core curriculum
Title | Evaluation of UN SDG-related formal learning activities in a university common core curriculum |
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Authors | |
Keywords | Classification Curriculum analysis Machine-learning classification SDGs Sustainable development education classification Sustainable development goals |
Issue Date | 11-Dec-2023 |
Publisher | Emerald |
Citation | International Journal of Sustainability in Higher Education, 2023 How to Cite? |
Abstract | Purpose – Higher education plays an essential role in achieving the United Nations sustainable development goals (SDGs). However, there are only scattered studies on monitoring how universities promote SDGs through their curriculum. The purpose of this study is to investigate the connection of existing common core courses in a university to SDG education. In particular, this study wanted to know how common core courses can be classified by machine-learning approach according to SDGs. Design/methodology/approach – In this report, the authors used machine learning techniques to tag the 166 common core courses in a university with SDGs and then analyzed the results based on visualizations. The training data set comes from the OSDG public community data set which the community had verified. Meanwhile, key descriptions of common core courses had been used for the classification. The study used the multinomial logistic regression algorithm for the classification. |
Persistent Identifier | http://hdl.handle.net/10722/340094 |
ISSN | 2023 Impact Factor: 3.0 2023 SCImago Journal Rankings: 0.830 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Lei, Chi-Un | - |
dc.contributor.author | Chan, Wincy | - |
dc.contributor.author | Wang, Yuyue | - |
dc.date.accessioned | 2024-03-11T10:41:37Z | - |
dc.date.available | 2024-03-11T10:41:37Z | - |
dc.date.issued | 2023-12-11 | - |
dc.identifier.citation | International Journal of Sustainability in Higher Education, 2023 | - |
dc.identifier.issn | 1467-6370 | - |
dc.identifier.uri | http://hdl.handle.net/10722/340094 | - |
dc.description.abstract | <p><b>Purpose</b> – Higher education plays an essential role in achieving the United Nations sustainable development goals (SDGs). However, there are only scattered studies on monitoring how universities promote SDGs through their curriculum. The purpose of this study is to investigate the connection of existing common core courses in a university to SDG education. In particular, this study wanted to know how common core courses can be classified by machine-learning approach according to SDGs.</p><p><b>Design/methodology/approach</b> – In this report, the authors used machine learning techniques to tag the 166 common core courses in a university with SDGs and then analyzed the results based on visualizations. The training data set comes from the OSDG public community data set which the community had verified. Meanwhile, key descriptions of common core courses had been used for the classification. The study used the multinomial logistic regression algorithm for the classification.</p> | - |
dc.language | eng | - |
dc.publisher | Emerald | - |
dc.relation.ispartof | International Journal of Sustainability in Higher Education | - |
dc.subject | Classification | - |
dc.subject | Curriculum analysis | - |
dc.subject | Machine-learning classification | - |
dc.subject | SDGs | - |
dc.subject | Sustainable development education classification | - |
dc.subject | Sustainable development goals | - |
dc.title | Evaluation of UN SDG-related formal learning activities in a university common core curriculum | - |
dc.type | Article | - |
dc.description.nature | preprint | - |
dc.identifier.doi | 10.1108/IJSHE-02-2023-0050 | - |
dc.identifier.scopus | eid_2-s2.0-85178905706 | - |
dc.identifier.isi | WOS:001116598900001 | - |
dc.identifier.issnl | 1467-6370 | - |