{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,23]],"date-time":"2025-06-23T11:46:38Z","timestamp":1750679198141,"version":"3.40.3"},"publisher-location":"Cham","reference-count":31,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031505799"},{"type":"electronic","value":"9783031505805"}],"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\/978-3-031-50580-5_3","type":"book-chapter","created":{"date-parts":[[2024,2,20]],"date-time":"2024-02-20T07:02:40Z","timestamp":1708412560000},"page":"32-41","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Opportunities and Challenges of Education Based on AI \u2013 The Case of ChatGPT"],"prefix":"10.1007","author":[{"given":"Junjie","family":"Zhong","sequence":"first","affiliation":[]},{"given":"Haoxuan","family":"Shu","sequence":"additional","affiliation":[]},{"given":"Xue","family":"Han","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,2,21]]},"reference":[{"key":"3_CR1","unstructured":"Campolo, A., et al.: AI now 2017 report (2017)"},{"issue":"6","key":"3_CR2","doi-asserted-by":"publisher","first-page":"684","DOI":"10.1016\/j.rbmo.2014.08.009","volume":"29","author":"Y Kuang","year":"2014","unstructured":"Kuang, Y., et al.: Double stimulations during the follicular and luteal phases of poor responders in IVF\/ICSI programmes (Shanghai protocol). Reprod. Biomed. Online 29(6), 684\u2013691 (2014)","journal-title":"Reprod. Biomed. Online"},{"key":"3_CR3","doi-asserted-by":"crossref","unstructured":"Firat, M.: How chat GPT can transform autodidactic experiences and open education. Department of Distance Education, Open Education Faculty, Anadolu Unive (2023)","DOI":"10.31219\/osf.io\/9ge8m"},{"issue":"1","key":"3_CR4","first-page":"9","volume":"1","author":"AS George","year":"2023","unstructured":"George, A.S., George, A.H.: A review of ChatGPT AI\u2019s impact on several business sectors. Partn. Univ. Int. Innov. J. 1(1), 9\u201323 (2023)","journal-title":"Partn. Univ. Int. Innov. J."},{"issue":"2","key":"3_CR5","first-page":"55","volume":"9","author":"V Buza","year":"2020","unstructured":"Buza, V., Hysa, M.: School-family cooperation through different forms of communication in schools during the Covid-19 pandemic. Thesis 9(2), 55\u201380 (2020)","journal-title":"Thesis"},{"issue":"1","key":"3_CR6","doi-asserted-by":"publisher","DOI":"10.2196\/45312","volume":"9","author":"A Gilson","year":"2023","unstructured":"Gilson, A., et al.: How does CHATGPT perform on the united states medical licensing examination? The implications of large language models for medical education and knowledge assessment. JMIR Med. Educ. 9(1), e45312 (2023)","journal-title":"JMIR Med. Educ."},{"issue":"2","key":"3_CR7","doi-asserted-by":"publisher","first-page":"62","DOI":"10.3390\/bdcc7020062","volume":"7","author":"H Hassani","year":"2023","unstructured":"Hassani, H., Silva, E.S.: The role of ChatGPT in data science: how AI-assisted conversational interfaces are revolutionizing the field. Big Data Cognit. Comput. 7(2), 62 (2023)","journal-title":"Big Data Cognit. Comput."},{"key":"3_CR8","doi-asserted-by":"crossref","unstructured":"Hsu, J.: Should Schools Ban AI Chatbots? Elsevier, Amsterdam (2023)","DOI":"10.1016\/S0262-4079(23)00099-4"},{"issue":"4","key":"3_CR9","doi-asserted-by":"publisher","first-page":"e179","DOI":"10.1016\/S2589-7500(23)00048-1","volume":"5","author":"SR Ali","year":"2023","unstructured":"Ali, S.R., et al.: Using ChatGPT to write patient clinic letters. Lancet Digit. Health 5(4), e179\u2013e181 (2023)","journal-title":"Lancet Digit. Health"},{"key":"3_CR10","doi-asserted-by":"crossref","unstructured":"Biswas, S.S.: Role of Chat GPT in public health. Ann. Biomed. Eng., 1\u20132 (2023)","DOI":"10.1007\/s10439-023-03172-7"},{"key":"3_CR11","doi-asserted-by":"crossref","unstructured":"Huang, F., Kwak, H., An, J.: Is ChatGPT better than human annotators? Potential and limitations of ChatGPT in explaining implicit hate speech. arXiv preprint arXiv:2302.07736 (2023)","DOI":"10.1145\/3543873.3587368"},{"key":"3_CR12","unstructured":"Jiao, W., et al.: Is ChatGPT a good translator? A preliminary study. arXiv preprint arXiv:2301.08745 (2023)"},{"key":"3_CR13","doi-asserted-by":"crossref","unstructured":"Alshater, M.M.: Exploring the role of artificial intelligence in enhancing academic performance: a case study of ChatGPT. SSRN (2022)","DOI":"10.2139\/ssrn.4312358"},{"key":"3_CR14","doi-asserted-by":"crossref","unstructured":"Qadir, J.: Engineering education in the era of ChatGPT: promise and pitfalls of generative AI for education (2022)","DOI":"10.36227\/techrxiv.21789434.v1"},{"key":"3_CR15","doi-asserted-by":"crossref","unstructured":"Baidoo-Anu, D., Owusu Ansah, L.: Education in the era of generative artificial intelligence (AI): understanding the potential benefits of ChatGPT in promoting teaching and learning. SSRN 4337484 (2023)","DOI":"10.2139\/ssrn.4337484"},{"key":"3_CR16","doi-asserted-by":"crossref","unstructured":"Chen, T.-J.: ChatGPT and other artificial intelligence applications speed up scientific writing. J. Chin. Med. Assoc. 10 (2023)","DOI":"10.1097\/JCMA.0000000000000900"},{"key":"3_CR17","doi-asserted-by":"crossref","unstructured":"Cotton, D.R., Cotton, P.A., Shipway, J.R.: Chatting and cheating. Ensuring academic integrity in the era of ChatGPT (2023)","DOI":"10.35542\/osf.io\/mrz8h"},{"key":"3_CR18","doi-asserted-by":"crossref","unstructured":"Ventayen, R.J.M.: OpenAI ChatGPT generated results: similarity index of artificial intelligence-based contents. SSRN 4332664 (2023)","DOI":"10.2139\/ssrn.4332664"},{"key":"3_CR19","unstructured":"Susnjak, T.: ChatGPT: the end of online exam integrity? arXiv preprint arXiv:2212.09292 (2022)"},{"issue":"4","key":"3_CR20","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1097\/INF.0000000000003852","volume":"42","author":"N Curtis","year":"2023","unstructured":"Curtis, N.: To ChatGPT or not to ChatGPT? The impact of artificial intelligence on academic publishing. Pediatr. Infect. Dis. J. 42(4), 275 (2023)","journal-title":"Pediatr. Infect. Dis. J."},{"key":"3_CR21","doi-asserted-by":"crossref","unstructured":"Khalil, M., Er, E.: Will ChatGPT get you caught? Rethinking of plagiarism detection. arXiv preprint arXiv:2302.04335 (2023)","DOI":"10.35542\/osf.io\/fnh48"},{"key":"3_CR22","doi-asserted-by":"crossref","unstructured":"Lund, B.D., Wang, T.: Chatting about ChatGPT: how may AI and GPT impact academia and libraries? Libr. Hi Tech News (2023)","DOI":"10.2139\/ssrn.4333415"},{"key":"3_CR23","doi-asserted-by":"crossref","unstructured":"Macdonald, C., et al.: Can ChatGPT draft a research article? An example of population-level vaccine effectiveness analysis. J. Glob. Health 13, 01003 (2023)","DOI":"10.7189\/jogh.13.01003"},{"key":"3_CR24","unstructured":"McGee, R.W.: ANNIE CHAN: three short stories written with chat GPT. SSRN 4359403 (2023)"},{"key":"3_CR25","doi-asserted-by":"crossref","unstructured":"Pavlik, J.V.: Collaborating with ChatGPT: considering the implications of generative artificial intelligence for journalism and media education. Journal. Mass Commun. Educ., 10776958221149577 (2023)","DOI":"10.1177\/10776958221149577"},{"key":"3_CR26","doi-asserted-by":"crossref","unstructured":"McGee, R.W.: Who were the 10 best and 10 worst US presidents? The opinion of chat GPT (artificial intelligence). Opin. Chat GPT Artif. Intell. (2023)","DOI":"10.2139\/ssrn.4367762"},{"key":"3_CR27","doi-asserted-by":"crossref","unstructured":"Naumova, E.N.: A mistake-find exercise: a teacher\u2019s tool to engage with information innovations, ChatGPT, and their analogs. J. Pub. Health Policy, 1\u20136 (2023)","DOI":"10.1057\/s41271-023-00400-1"},{"key":"3_CR28","doi-asserted-by":"crossref","unstructured":"McGee, R.W.: Is ESG a bad idea? The ChatGPT response. Working Paper, 8 April 2023 (2023). https:\/\/ssrn.com\/abstract=4413431","DOI":"10.2139\/ssrn.4413431"},{"key":"3_CR29","unstructured":"McGee, R.W.: Political philosophy and ChatGPT. Working Paper, 25 March 2023. https:\/\/ssrn.com\/abstract=4399913. 10.13140"},{"key":"3_CR30","unstructured":"Radford, A., et al.: Improving language understanding by generative pre-training (2018)"},{"key":"3_CR31","doi-asserted-by":"crossref","unstructured":"Qin, C., et al.: Is ChatGPT a general-purpose natural language processing task solver? arXiv preprint arXiv:2302.06476 (2023)","DOI":"10.18653\/v1\/2023.emnlp-main.85"}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Multimedia Technology and Enhanced Learning"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-50580-5_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,20]],"date-time":"2024-02-20T07:29:34Z","timestamp":1708414174000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-50580-5_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031505799","9783031505805"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-50580-5_3","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"21 February 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICMTEL","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Multimedia Technology and Enhanced Learning","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Leicester","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","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":"28 April 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 April 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icmtel2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icmtel.eai-conferences.org\/2023\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Confy Plus","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"285","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"121","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"42% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.1","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"6.5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}