THE ENCORE PROJECT: SUPPORTING EDUCATIONAL DESIGN WITH NATURAL LANGUAGE PROCESSING

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THE ENCORE PROJECT: SUPPORTING EDUCATIONAL DESIGN WITH NATURAL LANGUAGE PROCESSING

F. Chiarello, M. Panarotto, J. Malmqvist (2024).  THE ENCORE PROJECT: SUPPORTING EDUCATIONAL DESIGN WITH NATURAL LANGUAGE PROCESSING.
2024 20th International CDIO Conference, ESPRIT, Tunisia

ENCORE (ENriching Circular use of OER for Education) is an Erasmus+ project. This paper introduces the ENCORE approach, a novel strategy developed to address the challenges of the digital era in engineering education. ENCORE harnesses the potential of OER combined with the advancements in Natural Language Processing (NLP) and artificial intelligence, linking educational content with relevant skills in the European Skills, Competencies, Qualifications, and Occupations (ESCO) framework. The approach is designed to enhance the reuse of OERs, integrating them with data-driven tools and pedagogical guidelines to facilitate effective course design and outcome evaluation. This paper particularly explores the integration of the ENCORE approach within the CDIO (Conceive-Design-Implement-Operate) framework, highlighting how it can assist educators in incorporating green digital and entrepreneurial skills into engineering courses. The core elements of ENCORE, including a specialized database and ENCORE enablers, are outlined, emphasizing their role in crafting relevant learning paths and enriching engineering education. The paper concludes with a forward-looking perspective on the future development of ENCORE, focusing on its testing and refinement in engineering education through upcoming staff development activities and pilot testing, underscoring the importance of its alignment with the CDIO framework in enhancing the learning experience in the rapidly evolving landscape of engineering education.

Authors (New): 
Filippo Chiarello
Massimo Panarotto
Johan Malmqvist
Affiliations: 
University of Pisa, Italy
Chalmers University of Technology, Sweden
Keywords: 
Open Educational Resources
Natural Language Processing
Engineering education
Digital Skills Development
Sustainable Educational Practices
CDIO Standard 2
CDIO Standard 6
CDIO Standard 9
Year: 
2024
Reference: 
Commission, E. (2020). Europe 2020: A Strategy for Smart, Sustainable and Inclusive Growth. https://faolex.fao.org/docs/pdf/eur202078.pdf. (Accessed: 2023-04-15): 
dos Santos, A. I., Punie, Y., Muñoz, J. C., et al. (2016). Opening up education: A support framework for higher education institutions (Tech. Rep.). Joint Research Centre (Seville site).: 
https://dx.doi.org/10.2791/293408
Ferreira-Mello, R., André, M., Pinheiro, A., Costa, E., & Romero, C. (2019). Text mining in education. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 9(6), e1332.: 
https://doi.org/10.1002/widm.1332
Gazzola, M., Leal, S., Pedroni, B., Theoto Rocha, F., Pompéia, S., & Aluísio, S. (2022). Text complexity of open educational resources in portuguese: mixing written and spoken registers in a multi-task approach. Language Resources and Evaluation, 1–30.: 
http://dx.doi.org/10.1007/s10579-021-09571-3
Giordano, V., Chiarello, F., Melluso, N., Fantoni, G., & Bonaccorsi, A. (2021). Text and dynamic network analysis for measuring technological convergence: A case study on defense patent data. IEEE Transactions on Engineering Management.: 
https://doi.org/10.1109/TEM.2021.3078231
Giordano, V., Coli, E., & Martini, A. (2022). An open data repository for engineering design: Using text mining with open government data. Computers in Industry, 142, 103738.: 
https://doi.org/10.1016/j.compind.2022.103738
Goodyear, P. (2015). Teaching as design. Herdsa review of higher education, 2(2), 27–50.: 
Kaplan, A. (2022). Digital transformation and disruption of higher education. Cambridge University Press.: 
https://doi.org/10.1017/9781108979146
Kunze, J., & Baker, T. (2007). The dublin core metadata element set (Tech. Rep.).: 
Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013). Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781.: 
https://doi.org/10.48550/arXiv.1301.3781
Nadeau, D., & Sekine, S. (2007). A survey of named entity recognition and classification. Lingvisticae Investigationes, 30(1), 3–26.: 
http://dx.doi.org/10.1075/li.30.1.03nad
Puccetti, G., Giordano, V., Spada, I., Chiarello, F., & Fantoni, G. (2023). Technology identification from patent texts: A novel named entity recognition method. Technological Forecasting and Social Change, 186, 122160.: 
http://dx.doi.org/10.1016/j.techfore.2022.122160
Segarra-Faggioni, V., & Romero-Pelaez, A. (2022a). Automatic classification of oer for metadata quality assessment. In 2022 international conference on advanced learning technologies (icalt) (pp. 16–18).: 
Segarra-Faggioni, V., & Romero-Pelaez, A. (2022b, July). Automatic classification of OER for metadata quality assessment. In 2022 International Conference on Advanced Learning Technologies (ICALT) (pp. 16–18). (ISSN: 2161-377X) doi: 10.1109/ICALT55010.2022.00011: 
10.1109/ICALT55010.2022.00011
Spada, I., Chiarello, F., Barandoni, S., Ruggi, G., Martini, A., & Fantoni, G. (2022). Are universities ready to deliver digital skills and competences? a text mining-based case study of marketing courses in italy. Technological Forecasting and Social Change, 182, 121869.: 
https://doi.org/10.1016/j.techfore.2022.121869
Tavakoli, M., Faraji, A., Mol, S. T., & Kismihók, G. (2020). Oer recommendations to support career development. In 2020 ieee frontiers in education conference (fie) (pp. 1–5).: 
https://doi.org/10.1109/FIE44824.2020.9274175
Tavakoli, M., Faraji, A., Vrolijk, J., Molavi, M., Mol, S. T., & Kismihók, G. (2022). An ai-based open recommender system for personalized labor market driven education. Advanced Engineering Informatics, 52, 101508.: 
https://doi.org/10.1016/j.aei.2021.101508
Weibel, S., Kunze, J., Lagoze, C., & Wolf, M. (1998). Dublin core metadata for resource discovery (Tech. Rep.).: 
Wiley, D., Bliss, T., & McEwen, M. (2014). Open educational resources: A review of the literature. Handbook of research on educational communications and technology, 781–789.: 
Williamson, B., Eynon, R., & Potter, J. (2020). Pandemic politics, pedagogies and practices: digital technologies and distance education during the coronavirus emergency (Vol. 45) (No. 2). Taylor & Francis.: 
https://doi.org/10.1080/17439884.2020.1761641
on June 30, 2024 - 19:09   Anonymous (not verified)
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