{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:42:57Z","timestamp":1742913777300,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031746260"},{"type":"electronic","value":"9783031746277"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-74627-7_5","type":"book-chapter","created":{"date-parts":[[2024,12,31]],"date-time":"2024-12-31T14:00:43Z","timestamp":1735653643000},"page":"64-79","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Towards Personalized Educational Materials: Mapping Student Knowledge Through Natural Language Processing"],"prefix":"10.1007","author":[{"given":"Diana","family":"Domenichini","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vito","family":"Giordano","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gualtiero","family":"Fantoni","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Filippo","family":"Chiarello","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,1,1]]},"reference":[{"issue":"1","key":"5_CR1","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1016\/j.compedu.2009.12.004","volume":"55","author":"C Hsu","year":"2010","unstructured":"Hsu, C., et al.: Development of a reading material recommendation system based on a knowledge engineering approach. Comput. Educ. 55(1), 76\u201383 (2010)","journal-title":"Comput. Educ."},{"key":"5_CR2","doi-asserted-by":"publisher","first-page":"3289","DOI":"10.1007\/s10639-022-11341-9","volume":"28","author":"FL da Silva","year":"2023","unstructured":"da Silva, F.L., et al.: A systematic literature review on educational recommender systems for teaching and learning: research trends, limitations and opportunities. Educ. Inf. Technol. 28, 3289\u20133328 (2023)","journal-title":"Educ. Inf. Technol."},{"key":"5_CR3","doi-asserted-by":"crossref","unstructured":"Raj, N.S., Renumol, V.G.: A systematic literature review on adaptive content recommenders in personalized learning environments from 2015 to 2020. J. Comput. Educ. 9, 113\u2013148 (2022). https:\/\/doi.org\/10.1007\/s40692-021-00199-4","DOI":"10.1007\/s40692-021-00199-4"},{"key":"5_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113596","volume":"159","author":"AH Nabizadeh","year":"2020","unstructured":"Nabizadeh, A.H., et al.: Learning path personalization and recommendation methods: a survey of the state-of-the-art. Expert Syst. Appl. 159, 113596 (2020)","journal-title":"Expert Syst. Appl."},{"issue":"6","key":"5_CR5","first-page":"1332","volume":"9","author":"R Ferreira-Mello","year":"2019","unstructured":"Ferreira-Mello, R., et al.: Text mining in education. Wiley Interdiscip. Rev.: Data Mining Knowl. Disc. 9(6), 1332 (2019)","journal-title":"Wiley Interdiscip. Rev.: Data Mining Knowl. Disc."},{"key":"5_CR6","unstructured":"Xinyuan, C., et al.: Towards an automatic approach for assessing program competencies. In LAK22: 12th International Learning Analytics and Knowledge Conference (LAK22) (2022)"},{"key":"5_CR7","doi-asserted-by":"crossref","unstructured":"Fareri, S. et al.: Estimating industry 4.0 impact on job profiles and skills using text mining. Comput. Indust. 118, 103222 (2020)","DOI":"10.1016\/j.compind.2020.103222"},{"key":"5_CR8","doi-asserted-by":"crossref","unstructured":"Chiarello, F., et al.: Towards ESCO 4.0 - Is the European classification of skills in line with Industry 4.0? A text mining approach. Technol. Forecast. Social Change 173, 121177 (2021)","DOI":"10.1016\/j.techfore.2021.121177"},{"key":"5_CR9","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115544","volume":"184","author":"S Fareri","year":"2021","unstructured":"Fareri, S., et al.: SkillNER: mining and mapping soft skills from any text. Expert Syst. Appl. 184, 115544 (2021)","journal-title":"Expert Syst. Appl."},{"key":"5_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2021.101508","volume":"52","author":"M Tavakoli","year":"2022","unstructured":"Tavakoli, M., et al.: An AI-based open recommender system for personalized labor market driven education. Adv. Eng. Inform. 52, 101508 (2022)","journal-title":"Adv. Eng. Inform."},{"issue":"3","key":"5_CR11","doi-asserted-by":"publisher","first-page":"595","DOI":"10.1016\/j.tele.2017.05.007","volume":"35","author":"F Gasparetti","year":"2018","unstructured":"Gasparetti, F., et al.: Prerequisites between learning objects: automatic extraction based on a machine learning approach. Telematics Inform. 35(3), 595\u2013610 (2018)","journal-title":"Telematics Inform."},{"key":"5_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.techfore.2022.122160","volume":"186","author":"G Puccetti","year":"2023","unstructured":"Puccetti, G., et al.: Technology identification from patent texts: a novel named entity recognition method. Technol. Forecast. Soc. Chang. 186, 122160 (2023)","journal-title":"Technol. Forecast. Soc. Chang."},{"key":"5_CR13","unstructured":"Ying, S., et al.: Automatic construction of subject knowledge graph based on educational big data. In Proceedings of the 2020 The 3rd International Conference on Big Data and Education (ICBDE \u201920)"},{"key":"5_CR14","doi-asserted-by":"crossref","unstructured":"Huang, L., et al.: GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge. arXiv preprint arXiv:1908.07245 (2019)","DOI":"10.18653\/v1\/D19-1355"},{"key":"5_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2022.103738","volume":"142","author":"V Giordano","year":"2022","unstructured":"Giordano, V., et al.: An open data repository for engineering design: using text mining with open government data. Comput. Ind. 142, 103738 (2022)","journal-title":"Comput. Ind."},{"key":"5_CR16","unstructured":"Mikolov, T., et al.: Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781 (2013)"},{"key":"5_CR17","doi-asserted-by":"crossref","unstructured":"Pennington, J., et al.: Glove: gDlobal vectors for word representation. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1532\u20131543 (2014)","DOI":"10.3115\/v1\/D14-1162"},{"key":"5_CR18","unstructured":"Devlin, J. et al.: Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)"},{"key":"5_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.techfore.2022.121869","volume":"182","author":"I Spada","year":"2022","unstructured":"Spada, I., et al.: Are universities ready to deliver digital skills and competencies? A text mining-based case study of marketing courses in Italy. Technol. Forecast. Soc. Chang. 182, 121869 (2022)","journal-title":"Technol. Forecast. Soc. Chang."},{"key":"5_CR20","unstructured":"Han, J., et al.: Data mining: Concepts and techniques (2011)"},{"key":"5_CR21","doi-asserted-by":"crossref","unstructured":"Shabani, K., et al.: Vygotsky\u2019s Zone of Proximal Development: Instructional Implications and Teachers\u2019 Professional Development. English Language Teaching, vol. 3 (2010)","DOI":"10.5539\/elt.v3n4p237"}],"container-title":["Communications in Computer and Information Science","Machine Learning and Principles and Practice of Knowledge Discovery in Databases"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-74627-7_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,31]],"date-time":"2024-12-31T14:13:04Z","timestamp":1735654384000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-74627-7_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031746260","9783031746277"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-74627-7_5","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"1 January 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECML PKDD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Joint European Conference on Machine Learning and Knowledge Discovery in Databases","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Turin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ecml2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2023.ecmlpkdd.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}