{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T16:51:36Z","timestamp":1773939096436,"version":"3.50.1"},"publisher-location":"Cham","reference-count":34,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031643149","type":"print"},{"value":"9783031643156","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\/978-3-031-64315-6_13","type":"book-chapter","created":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T18:03:50Z","timestamp":1719857030000},"page":"163-178","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Automatic Lesson Plan Generation via\u00a0Large Language Models with\u00a0Self-critique Prompting"],"prefix":"10.1007","author":[{"given":"Ying","family":"Zheng","sequence":"first","affiliation":[]},{"given":"Xueyi","family":"Li","sequence":"additional","affiliation":[]},{"given":"Yaying","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Qianru","family":"Liang","sequence":"additional","affiliation":[]},{"given":"Teng","family":"Guo","sequence":"additional","affiliation":[]},{"given":"Mingliang","family":"Hou","sequence":"additional","affiliation":[]},{"given":"Boyu","family":"Gao","sequence":"additional","affiliation":[]},{"given":"Mi","family":"Tian","sequence":"additional","affiliation":[]},{"given":"Zitao","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Weiqi","family":"Luo","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,7,2]]},"reference":[{"key":"13_CR1","unstructured":"Achiam, J., et\u00a0al.: GPT-4 technical report. arXiv preprint arXiv:2303.08774 (2023)"},{"key":"13_CR2","unstructured":"Amininik, S.: A survey of the implementation of lesson plan in Bushehr university of medical sciences. In: 4th National Medical Education Conference in Bushehr (2000)"},{"key":"13_CR3","unstructured":"Antoniou, A., Storkey, A.J.: Learning to learn by self-critique. In: Advances in Neural Information Processing Systems (2019)"},{"key":"13_CR4","unstructured":"Brown, T., et\u00a0al.: Language models are few-shot learners. In: Advances in Neural Information Processing Systems (2020)"},{"key":"13_CR5","doi-asserted-by":"crossref","unstructured":"Cao, C.: Scaffolding CS1 courses with a large language model-powered intelligent tutoring system. In: Companion Proceedings of the 28th International Conference on Intelligent User Interfaces (2023)","DOI":"10.1145\/3581754.3584111"},{"key":"13_CR6","first-page":"31","volume":"16","author":"CS Chai","year":"2013","unstructured":"Chai, C.S., Koh, J.H.L., Tsai, C.C.: A review of technological pedagogical content knowledge. J. Educ. Technol. Soc. 16, 31\u201351 (2013)","journal-title":"J. Educ. Technol. Soc."},{"key":"13_CR7","doi-asserted-by":"crossref","unstructured":"Chen, J., Huang, S., Liu, Z., Luo, W.: DialogID: a dialogic instruction dataset for improving teaching effectiveness in online environments. In: Proceedings of the 31st ACM International Conference on Information & Knowledge Management (2022)","DOI":"10.1145\/3511808.3557580"},{"key":"13_CR8","first-page":"46","volume":"66","author":"L Darling-Hammond","year":"2009","unstructured":"Darling-Hammond, L., Richardson, N.: Research review\/teacher learning: what matters. Educ. Leadersh. 66, 46 (2009)","journal-title":"Educ. Leadersh."},{"key":"13_CR9","doi-asserted-by":"publisher","first-page":"20","DOI":"10.3233\/AIC-1995-8102","volume":"8","author":"J Dorn","year":"1995","unstructured":"Dorn, J.: Iterative improvement methods for knowledge-based scheduling. AI Commun. 8, 20\u201334 (1995)","journal-title":"AI Commun."},{"key":"13_CR10","doi-asserted-by":"crossref","unstructured":"Du\u00a0Plessis, P., Mestry, R.: Teachers for rural schools\u2013a challenge for South Africa. South Afr. J. Educ. 39 (2019)","DOI":"10.15700\/saje.v39ns1a1774"},{"key":"13_CR11","doi-asserted-by":"crossref","unstructured":"Ferrell, B.G.: Lesson plan analysis as a program evaluation tool. Gifted Child Q. 36 (1992)","DOI":"10.1177\/001698629203600106"},{"key":"13_CR12","unstructured":"Gao, Y., et al.: Retrieval-augmented generation for large language models: a survey. arXiv preprint arXiv:2312.10997 (2023)"},{"key":"13_CR13","doi-asserted-by":"publisher","DOI":"10.1007\/0-306-47217-1_1","volume-title":"Examining Pedagogical Content Knowledge: The Construct and Its Implications for Science Education","author":"J Gess-Newsome","year":"1999","unstructured":"Gess-Newsome, J.: Pedagogical content knowledge: an introduction and orientation. In: Gess-Newsome, J., Lederman, N.G. (eds.) Examining Pedagogical Content Knowledge: The Construct and Its Implications for Science Education, vol. 6. Springer, Dordrecht (1999). https:\/\/doi.org\/10.1007\/0-306-47217-1_1"},{"key":"13_CR14","doi-asserted-by":"crossref","unstructured":"Hadi, M.U., et\u00a0al.: A survey on large language models: applications, challenges, limitations, and practical usage. Authorea Preprints (2023)","DOI":"10.36227\/techrxiv.23589741.v1"},{"key":"13_CR15","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1007\/978-3-030-78270-2_33","volume-title":"Artificial Intelligence in Education","author":"Y Hao","year":"2021","unstructured":"Hao, Y., et al.: Multi-task learning based online dialogic instruction detection with\u00a0pre-trained language models. In: Roll, I., McNamara, D., Sosnovsky, S., Luckin, R., Dimitrova, V. (eds.) AIED 2021. LNCS (LNAI), vol. 12749, pp. 183\u2013189. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-78270-2_33"},{"key":"13_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.tate.2021.103505","volume":"108","author":"L Hatch","year":"2021","unstructured":"Hatch, L., Clark, S.K.: A study of the instructional decisions and lesson planning strategies of highly effective rural elementary school teachers. Teach. Teach. Educ. 108, 103505 (2021)","journal-title":"Teach. Teach. Educ."},{"key":"13_CR17","unstructured":"He-Yueya, J., Poesia, G., Wang, R., Goodman, N.: Solving math word problems by combining language models with symbolic solvers. In: The 3rd Workshop on Mathematical Reasoning and AI at NeurIPS 2023 (2023)"},{"key":"13_CR18","doi-asserted-by":"publisher","first-page":"1471","DOI":"10.1109\/TLT.2024.3384765","volume":"17","author":"B Hu","year":"2024","unstructured":"Hu, B., Zheng, L., Zhu, J., Ding, L., Wang, Y., Gu, X.: Teaching plan generation and evaluation with GPT-4: Unleashing the potential of LLM in instructional design. IEEE Trans. Learn. Technol. 17, 1471\u20131485 (2024)","journal-title":"IEEE Trans. Learn. Technol."},{"key":"13_CR19","volume":"4","author":"MH Iqbal","year":"2021","unstructured":"Iqbal, M.H., Siddiqie, S.A., Mazid, M.A.: Rethinking theories of lesson plan for effective teaching and learning. Soc. Sci. Humanit. Open 4, 100172 (2021)","journal-title":"Soc. Sci. Humanit. Open"},{"key":"13_CR20","volume-title":"Life in Classrooms","author":"PW Jackson","year":"1968","unstructured":"Jackson, P.W.: Life in Classrooms. Teachers College Press, New York (1968)"},{"key":"13_CR21","unstructured":"Kruse, K.: Gagne\u2019s nine events of instruction: An introduction. Retrieved the (2009)"},{"key":"13_CR22","doi-asserted-by":"crossref","unstructured":"Lee, G.G., Zhai, X.: Using chatGPT for science learning: a study on pre-service teachers\u2019 lesson planning. arXiv preprint arXiv:2402.01674 (2024)","DOI":"10.1109\/TLT.2024.3401457"},{"key":"13_CR23","unstructured":"Lewis, P., et\u00a0al.: Retrieval-augmented generation for knowledge-intensive NLP tasks. Advances in Neural Information Processing Systems (2020)"},{"key":"13_CR24","unstructured":"Madaan, A., et\u00a0al.: Self-refine: iterative refinement with self-feedback. Advances in Neural Information Processing Systems (2024)"},{"key":"13_CR25","doi-asserted-by":"crossref","unstructured":"Min, S., Lewis, M., Zettlemoyer, L., Hajishirzi, H.: MetaICL: learning to learn in context. In: Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022)","DOI":"10.18653\/v1\/2022.naacl-main.201"},{"key":"13_CR26","unstructured":"Morrison, G.R., Ross, S.J., Morrison, J.R., Kalman, H.K.: Designing Effective Instruction. Wiley, Hoboken (2019)"},{"key":"13_CR27","first-page":"25","volume":"3","author":"AJ Nesari","year":"2014","unstructured":"Nesari, A.J., Heidari, M.: The important role of lesson plan on educational achievement of Iranian EFL teachers\u2019 attitudes. Int. J. Foreign Lang. Teach. Res. 3, 25\u201331 (2014)","journal-title":"Int. J. Foreign Lang. Teach. Res."},{"key":"13_CR28","doi-asserted-by":"crossref","unstructured":"Salo, O., Abrahamsson, P.: An iterative improvement process for agile software development. Software Process: Improvement and Practice (2007)","DOI":"10.1002\/spip.305"},{"key":"13_CR29","first-page":"21","volume":"2","author":"A Sugianto","year":"2020","unstructured":"Sugianto, A.: Applying a lesson plan for a digital classroom: challenges and benefits. Int. J. Engl. Educ. Linguist. (IJoEEL) 2, 21\u201333 (2020)","journal-title":"Int. J. Engl. Educ. Linguist. (IJoEEL)"},{"key":"13_CR30","unstructured":"Touvron, H., et\u00a0al.: Llama 2: open foundation and fine-tuned chat models. arXiv e-prints (2023)"},{"key":"13_CR31","first-page":"54","volume":"1","author":"E Vdovina","year":"2013","unstructured":"Vdovina, E., Gaibisso, L.C.: Developing critical thinking in the English language classroom: a lesson plan. ELTA J. 1, 54\u201368 (2013)","journal-title":"ELTA J."},{"key":"13_CR32","doi-asserted-by":"crossref","unstructured":"Williamson, B.: Big data in education: The digital future of learning, policy and practice. Big Data in Education (2017)","DOI":"10.4135\/9781529714920"},{"key":"13_CR33","unstructured":"Yang, A., et\u00a0al.: Baichuan 2: open large-scale language models. arXiv preprint arXiv:2309.10305 (2023)"},{"key":"13_CR34","doi-asserted-by":"crossref","unstructured":"Zhao, J.X., Xie, Y., Kawaguchi, K., He, J., Xie, M.Q.: Automatic model selection with large language models for reasoning. In: The 2023 Conference on Empirical Methods in Natural Language Processing (2023)","DOI":"10.18653\/v1\/2023.findings-emnlp.55"}],"container-title":["Communications in Computer and Information Science","Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-64315-6_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T18:06:55Z","timestamp":1719857215000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-64315-6_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031643149","9783031643156"],"references-count":34,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-64315-6_13","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"2 July 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AIED","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Intelligence in Education","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Recife","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Brazil","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":"8 July 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 July 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aied2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aied2024.cesar.school\/home","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}