{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T15:20:53Z","timestamp":1772205653221,"version":"3.50.1"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031992636","type":"print"},{"value":"9783031992643","type":"electronic"}],"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\/978-3-031-99264-3_17","type":"book-chapter","created":{"date-parts":[[2025,7,23]],"date-time":"2025-07-23T06:43:25Z","timestamp":1753253005000},"page":"135-142","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Leveraging Large Reasoning Models for Test Equating Without Anchor Items: A Simulation Study with O1 and DeepSeek-R1"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2881-5223","authenticated-orcid":false,"given":"Junlei","family":"Du","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4874-3295","authenticated-orcid":false,"given":"Qinhua","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4544-1101","authenticated-orcid":false,"given":"Shuang","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,7,21]]},"reference":[{"key":"17_CR1","doi-asserted-by":"crossref","unstructured":"Park, J.S., O\u2019Brien, J., Cai, C.J., Morris, M.R., Liang, P., Bernstein, M.S.: Generative agents: interactive simulacra of human behavior. In: Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, pp. 1\u201322. Association for Computing Machinery, New York (2023)","DOI":"10.1145\/3586183.3606763"},{"key":"17_CR2","unstructured":"Aher, G.V., Arriaga, R.I., Kalai, A.T.: Using large language models to simulate multiple humans and replicate human subject studies. In: Proceedings of the 40th International Conference on Machine Learning, pp. 337\u2013371. PMLR (2023)"},{"key":"17_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1057\/s41599-024-03611-3","volume":"11","author":"C Gao","year":"2024","unstructured":"Gao, C., et al.: Large language models empowered agent-based modeling and simulation: a survey and perspectives. Humanit. Soc. Sci. Commun. 11, 1\u201324 (2024). https:\/\/doi.org\/10.1057\/s41599-024-03611-3","journal-title":"Humanit. Soc. Sci. Commun."},{"key":"17_CR4","doi-asserted-by":"publisher","first-page":"597","DOI":"10.1016\/j.tics.2023.04.008","volume":"27","author":"D Dillion","year":"2023","unstructured":"Dillion, D., Tandon, N., Gu, Y., Gray, K.: Can AI language models replace human participants? Trends Cogn. Sci. 27, 597\u2013600 (2023). https:\/\/doi.org\/10.1016\/j.tics.2023.04.008","journal-title":"Trends Cogn. Sci."},{"key":"17_CR5","unstructured":"Hewitt, L., Ashokkumar, A., Ghezae, I., Willer, R.: Predicting Results of Social Science Experiments Using Large Language Models (2024)"},{"key":"17_CR6","unstructured":"Petrov, N.B., Serapio-Garc\u00eda, G., Rentfrow, J.: Limited Ability of LLMs to Simulate Human Psychological Behaviours: a Psychometric Analysis (2024)"},{"key":"17_CR7","doi-asserted-by":"crossref","unstructured":"Serapio-Garc\u00eda, G., et al.: Personality Traits in Large Language Models (2023)","DOI":"10.21203\/rs.3.rs-3296728\/v1"},{"key":"17_CR8","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1017\/pan.2023.2","volume":"31","author":"LP Argyle","year":"2023","unstructured":"Argyle, L.P., Busby, E.C., Fulda, N., Gubler, J.R., Rytting, C., Wingate, D.: Out of one, many: using language models to simulate human samples. Polit. Anal. 31, 337\u2013351 (2023). https:\/\/doi.org\/10.1017\/pan.2023.2","journal-title":"Polit. Anal."},{"key":"17_CR9","unstructured":"Leng, Y., Yuan, Y.: Do LLM Agents Exhibit Social Behavior? (2024)"},{"key":"17_CR10","doi-asserted-by":"publisher","first-page":"495","DOI":"10.3102\/00346543056004495","volume":"56","author":"G Skaggs","year":"1986","unstructured":"Skaggs, G., Lissitz, R.W.: IRT test equating: relevant issues and a review of recent research. Rev. Educ. Res. 56, 495\u2013529 (1986). https:\/\/doi.org\/10.3102\/00346543056004495","journal-title":"Rev. Educ. Res."},{"key":"17_CR11","doi-asserted-by":"publisher","first-page":"i","DOI":"10.1002\/j.2333-8504.2006.tb02033.x","volume":"2006","author":"S Kim","year":"2006","unstructured":"Kim, S., von Davier, A.A., Haberman, S.: An alternative to equating with small samples in the non-equivalent groups anchor test design. ETS Res. Rep. Ser. 2006, i\u201340 (2006). https:\/\/doi.org\/10.1002\/j.2333-8504.2006.tb02033.x","journal-title":"ETS Res. Rep. Ser."},{"key":"17_CR12","doi-asserted-by":"publisher","unstructured":"Liao, C.-W., Livingston, S.A.: Examining an alternative to score equating: a randomly equivalent forms approach. ETS Res. Rep. Ser. 2008, i\u201322 (2008). https:\/\/doi.org\/10.1002\/j.2333-8504.2008.tb02100.x","DOI":"10.1002\/j.2333-8504.2008.tb02100.x"},{"key":"17_CR13","doi-asserted-by":"publisher","unstructured":"Livingston, S.A.: Demographically adjusted groups for equating test scores. ETS Res. Rep. Ser. 2014, 1\u201310 (2014). https:\/\/doi.org\/10.1002\/ets2.12030","DOI":"10.1002\/ets2.12030"},{"key":"17_CR14","doi-asserted-by":"publisher","unstructured":"Liu, Q., et al.: Fuzzy cognitive diagnosis for modelling examinee performance. ACM Trans. Intell. Syst. Technol. 9, 48:1\u201348:26 (2018). https:\/\/doi.org\/10.1145\/3168361","DOI":"10.1145\/3168361"},{"key":"17_CR15","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1111\/j.1745-3984.1983.tb00212.x","volume":"20","author":"KK Tatsuoka","year":"1983","unstructured":"Tatsuoka, K.K.: Rule space: an approach for dealing with misconceptions based on item response theory. J. Educ. Meas. 20, 345\u2013354 (1983)","journal-title":"J. Educ. Meas."},{"key":"17_CR16","doi-asserted-by":"publisher","unstructured":"Marengo, D., Miceli, R., Rosato, R., Settanni, M.: Placing multiple tests on a common scale using a post-test anchor design: effects of item position and order on the stability of parameter estimates. Front. Appl. Math. Stat. 4 (2018). https:\/\/doi.org\/10.3389\/fams.2018.00050","DOI":"10.3389\/fams.2018.00050"},{"key":"17_CR17","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1177\/0265532216641152","volume":"34","author":"J Segbers","year":"2017","unstructured":"Segbers, J., Schroeder, S.: How many words do children know? A corpus-based estimation of children\u2019s total vocabulary size. Lang. Test. 34, 297\u2013320 (2017). https:\/\/doi.org\/10.1177\/0265532216641152","journal-title":"Lang. Test."},{"key":"17_CR18","doi-asserted-by":"publisher","unstructured":"Du, J., Zheng, Q., Song, Y.: The Application of Large Language Models for Test Equating with No Common Items: A Case Study on Reading Literacy Assessment. zggx 1\u20138 (2024). https:\/\/doi.org\/10.14188\/j.1671-8836.2024.0088","DOI":"10.14188\/j.1671-8836.2024.0088"},{"key":"17_CR19","doi-asserted-by":"crossref","unstructured":"Ling, W., Yogatama, D., Dyer, C., Blunsom, P.: Program Induction by Rationale Generation\u202f: Learning to Solve and Explain Algebraic Word Problems (2017)","DOI":"10.18653\/v1\/P17-1015"},{"key":"17_CR20","doi-asserted-by":"publisher","first-page":"144","DOI":"10.4992\/psycholres1954.22.144","volume":"22","author":"T Haebara","year":"1980","unstructured":"Haebara, T.: Equating logistic ability scales by a weighted least squares method. Jpn. Psychol. Res. 22, 144\u2013149 (1980). https:\/\/doi.org\/10.4992\/psycholres1954.22.144","journal-title":"Jpn. Psychol. Res."},{"key":"17_CR21","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1177\/0146621610373095","volume":"35","author":"L Yao","year":"2011","unstructured":"Yao, L.: Multidimensional linking for domain scores and overall scores for nonequivalent groups. Appl. Psychol. Meas. 35, 48\u201366 (2011). https:\/\/doi.org\/10.1177\/0146621610373095","journal-title":"Appl. Psychol. Meas."},{"key":"17_CR22","doi-asserted-by":"publisher","first-page":"613","DOI":"10.1177\/0146621615587003","volume":"39","author":"Y He","year":"2015","unstructured":"He, Y., Cui, Z., Osterlind, S.J.: New robust scale transformation methods in the presence of outlying common items. Appl. Psychol. Meas. 39, 613\u2013626 (2015). https:\/\/doi.org\/10.1177\/0146621615587003","journal-title":"Appl. Psychol. Meas."},{"key":"17_CR23","doi-asserted-by":"publisher","unstructured":"Wang, S., Zhang, M., You, S.: A comparison of IRT observed score kernel equating and several equating methods. Front. Psychol. 11 (2020). https:\/\/doi.org\/10.3389\/fpsyg.2020.00308","DOI":"10.3389\/fpsyg.2020.00308"}],"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, Blue Sky, and WideAIED"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-99264-3_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,7]],"date-time":"2025-09-07T19:17:34Z","timestamp":1757272654000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-99264-3_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031992636","9783031992643"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-99264-3_17","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"21 July 2025","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":"Palermo","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":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 July 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aied2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aied2025.itd.cnr.it\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}