{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T07:53:38Z","timestamp":1770278018542,"version":"3.49.0"},"publisher-location":"Cham","reference-count":9,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031723117","type":"print"},{"value":"9783031723124","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-72312-4_11","type":"book-chapter","created":{"date-parts":[[2024,9,12]],"date-time":"2024-09-12T15:06:00Z","timestamp":1726153560000},"page":"93-98","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["BloomLLM: Large Language Models Based Question Generation Combining Supervised Fine-Tuning and\u00a0Bloom\u2019s Taxonomy"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7402-4166","authenticated-orcid":false,"given":"Nghia","family":"Duong-Trung","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0849-5645","authenticated-orcid":false,"given":"Xia","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1224-1250","authenticated-orcid":false,"given":"Milo\u0161","family":"Krav\u010d\u00edk","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,9,13]]},"reference":[{"key":"11_CR1","unstructured":"Anderson, L.W., et al.: A taxonomy for teaching, learning, and assessment (2001)"},{"key":"11_CR2","doi-asserted-by":"crossref","unstructured":"Herrmann\u00a0Werner, A., et al.: Assessing chatGPT\u2019s mastery of bloom\u2019s taxonomy using psychosomatic medicine exam questions. medRxiv 8 (2023)","DOI":"10.1101\/2023.08.18.23294159"},{"key":"11_CR3","doi-asserted-by":"crossref","unstructured":"Jeon, J., Lee, S.: Large language models in education: a focus on the complementary relationship between human teachers and chatGPt. Educ. Inf. Technol. 28(12), 15873\u201315892 (2023)","DOI":"10.1007\/s10639-023-11834-1"},{"issue":"2","key":"11_CR4","first-page":"313","volume":"34","author":"R Kaplan-Rakowski","year":"2023","unstructured":"Kaplan-Rakowski, R., Grotewold, K., Hartwick, P., Papin, K.: Generative AI and teachers\u2019 perspectives on its implementation in education. J. Interact. Learn. Res. 34(2), 313\u2013338 (2023)","journal-title":"J. Interact. Learn. Res."},{"key":"11_CR5","doi-asserted-by":"publisher","first-page":"102274","DOI":"10.1016\/j.lindif.2023.102274","volume":"103","author":"E Kasneci","year":"2023","unstructured":"Kasneci, E., et al.: ChatGPT for good? on opportunities and challenges of large language models for education. Learn. Individ. Differ. 103, 102274 (2023)","journal-title":"Learn. Individ. Differ."},{"key":"11_CR6","doi-asserted-by":"publisher","unstructured":"Kwan, C.C.L.: Exploring chatGPT-generated assessment scripts of probability and engineering statistics from bloom\u2019s taxonomy. In: International Conference on Technology in Education, pp. 275\u2013286. Springer (2023). https:\/\/doi.org\/10.1007\/978-981-99-8255-4_24","DOI":"10.1007\/978-981-99-8255-4_24"},{"key":"11_CR7","doi-asserted-by":"publisher","first-page":"238212052312041","DOI":"10.1177\/23821205231204178","volume":"10","author":"L Morjaria","year":"2023","unstructured":"Morjaria, L., et al.: Examining the threat of chatGPT to the validity of short answer assessments in an undergraduate medical program. J. Med. Educ. Curric. Dev. 10, 23821205231204176 (2023)","journal-title":"J. Med. Educ. Curric. Dev."},{"issue":"1","key":"11_CR8","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1186\/s40561-023-00237-x","volume":"10","author":"A Tlili","year":"2023","unstructured":"Tlili, A., et al.: What if the devil is my guardian angel: chatgpt as a case study of using chatbots in education. Smart Learn. Environ. 10(1), 15 (2023)","journal-title":"Smart Learn. Environ."},{"key":"11_CR9","doi-asserted-by":"crossref","unstructured":"Wang, X., et al.: IFSE-personalized quiz generator and intelligent knowledge recommendation. In: 2022 IEEE 16th International Conference on Semantic Computing (ICSC), pp. 201\u2013208. IEEE (2022)","DOI":"10.1109\/ICSC52841.2022.00041"}],"container-title":["Lecture Notes in Computer Science","Technology Enhanced Learning for Inclusive and Equitable Quality Education"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-72312-4_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,18]],"date-time":"2025-04-18T13:53:22Z","timestamp":1744984402000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-72312-4_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031723117","9783031723124"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-72312-4_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"13 September 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EC-TEL","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Technology Enhanced Learning","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Krems","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Austria","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 September 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ectel2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ea-tel.eu\/ectel2024","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}