Broader Terms Curriculum Mapping: Using Natural Language Processing and Visual-Supported Communication to Create Representative Program Planning Experiences
Accreditation bodies call for curriculum development processes that are open to all stakeholders, reflecting viewpoints of students, industry, university faculty, and society. However, communication difficulties between faculty and non-faculty groups leave an immense collaboration potential unexplor...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-12-01
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| Series: | Applied System Innovation |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2571-5577/7/1/7 |
| _version_ | 1827344189320331264 |
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| author | Rogério Duarte Ângela Lacerda Nobre Fernando Pimentel Marc Jacquinet |
| author_facet | Rogério Duarte Ângela Lacerda Nobre Fernando Pimentel Marc Jacquinet |
| author_sort | Rogério Duarte |
| collection | DOAJ |
| description | Accreditation bodies call for curriculum development processes that are open to all stakeholders, reflecting viewpoints of students, industry, university faculty, and society. However, communication difficulties between faculty and non-faculty groups leave an immense collaboration potential unexplored. Using the classification of learning objectives, natural language processing, and data visualization, this paper presents a quantitative method that delivers program plan representations that are universal, self-explanatory, and empowering; promoting stronger links between program courses and curriculum development open to all stakeholders. A simple example shows how the method contributes to representative program planning experiences and a case study is used to confirm the method’s accuracy and utility. |
| first_indexed | 2024-03-07T22:42:25Z |
| format | Article |
| id | doaj.art-39b0dd5351ec42ef8e8a6dbc3e13aeea |
| institution | Directory Open Access Journal |
| issn | 2571-5577 |
| language | English |
| last_indexed | 2024-03-07T22:42:25Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied System Innovation |
| spelling | doaj.art-39b0dd5351ec42ef8e8a6dbc3e13aeea2024-02-23T15:06:57ZengMDPI AGApplied System Innovation2571-55772023-12-0171710.3390/asi7010007Broader Terms Curriculum Mapping: Using Natural Language Processing and Visual-Supported Communication to Create Representative Program Planning ExperiencesRogério Duarte0Ângela Lacerda Nobre1Fernando Pimentel2Marc Jacquinet3CINEA, Department of Mechanical Engineering, Instituto Politécnico de Setúbal, ESTSetúbal, Campus do IPS, Estefanilha, 2914-508 Setubal, PortugalDepartment of Economics and Management, Instituto Politécnico de Setúbal, ESCE, Campus do IPS, Estefanilha, 2914-503 Setubal, PortugalCINEA, Department of Mechanical Engineering, Instituto Politécnico de Setúbal, ESTSetúbal, Campus do IPS, Estefanilha, 2914-508 Setubal, PortugalDepartment of Social Sciences and Management, Universidade Aberta, Rua da Escola Politécnica, 141-147, 1269-001 Lisboa, PortugalAccreditation bodies call for curriculum development processes that are open to all stakeholders, reflecting viewpoints of students, industry, university faculty, and society. However, communication difficulties between faculty and non-faculty groups leave an immense collaboration potential unexplored. Using the classification of learning objectives, natural language processing, and data visualization, this paper presents a quantitative method that delivers program plan representations that are universal, self-explanatory, and empowering; promoting stronger links between program courses and curriculum development open to all stakeholders. A simple example shows how the method contributes to representative program planning experiences and a case study is used to confirm the method’s accuracy and utility.https://www.mdpi.com/2571-5577/7/1/7curriculum mappingnatural language processing (NLP)network graphslearning objectives classificationcurriculum analyticscurriculum design |
| spellingShingle | Rogério Duarte Ângela Lacerda Nobre Fernando Pimentel Marc Jacquinet Broader Terms Curriculum Mapping: Using Natural Language Processing and Visual-Supported Communication to Create Representative Program Planning Experiences Applied System Innovation curriculum mapping natural language processing (NLP) network graphs learning objectives classification curriculum analytics curriculum design |
| title | Broader Terms Curriculum Mapping: Using Natural Language Processing and Visual-Supported Communication to Create Representative Program Planning Experiences |
| title_full | Broader Terms Curriculum Mapping: Using Natural Language Processing and Visual-Supported Communication to Create Representative Program Planning Experiences |
| title_fullStr | Broader Terms Curriculum Mapping: Using Natural Language Processing and Visual-Supported Communication to Create Representative Program Planning Experiences |
| title_full_unstemmed | Broader Terms Curriculum Mapping: Using Natural Language Processing and Visual-Supported Communication to Create Representative Program Planning Experiences |
| title_short | Broader Terms Curriculum Mapping: Using Natural Language Processing and Visual-Supported Communication to Create Representative Program Planning Experiences |
| title_sort | broader terms curriculum mapping using natural language processing and visual supported communication to create representative program planning experiences |
| topic | curriculum mapping natural language processing (NLP) network graphs learning objectives classification curriculum analytics curriculum design |
| url | https://www.mdpi.com/2571-5577/7/1/7 |
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