{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,3]],"date-time":"2025-05-03T10:04:45Z","timestamp":1746266685343,"version":"3.40.3"},"publisher-location":"Cham","reference-count":9,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031363351"},{"type":"electronic","value":"9783031363368"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-36336-8_110","type":"book-chapter","created":{"date-parts":[[2023,6,29]],"date-time":"2023-06-29T14:02:43Z","timestamp":1688047363000},"page":"714-719","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Comparative Analysis of Learnersourced Human-Graded and AI-Generated Responses for Autograding Online Tutor Lessons"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8196-3252","authenticated-orcid":false,"given":"Danielle R.","family":"Thomas","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5713-3782","authenticated-orcid":false,"given":"Shivang","family":"Gupta","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5850-4768","authenticated-orcid":false,"given":"Kenneth R.","family":"Koedinger","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,6,30]]},"reference":[{"key":"110_CR1","unstructured":"Altman, S.: [@sama]. ChatGPT launched on Wednesday. Today it crossed 1 million users! Twitter, 5 December 2022. https:\/\/twitter.com\/sama\/status\/1599668808285028353"},{"key":"110_CR2","doi-asserted-by":"crossref","unstructured":"Burrows, S., Gurevych, I., Stein, B.: The eras and trends of automatic short answer grading. Int. J. Artif. Intell. Educ. 25(1), 60\u2013117 (2015)","DOI":"10.1007\/s40593-014-0026-8"},{"key":"110_CR3","unstructured":"Grand View Research: Artificial Intelligence Market Size, Share & Trends Analysis Report By Solution, By Technology (Deep Learning, Machine Learning, Natural Language Processing, Machine Vision), by End Use, By Region, and Segment Forecasts, 2022 \u2013 2030. Market Analysis Report (2022)"},{"key":"110_CR4","doi-asserted-by":"crossref","unstructured":"Lan, A. S., Vats, D., Waters, A.E., Baraniuk, R.G.: Mathematical language processing: automatic grading and feedback for open response mathematical questions. In: Proceedings of the Second (2015) ACM Conference on Learning@ Scale, pp. 167\u2013176 (2015)","DOI":"10.1145\/2724660.2724664"},{"issue":"4","key":"110_CR5","doi-asserted-by":"publisher","first-page":"389","DOI":"10.1023\/A:1025779619903","volume":"37","author":"C Leacock","year":"2003","unstructured":"Leacock, C., Chodorow, M.: C-rater: automated scoring of short-answer questions. Comput. Hum. 37(4), 389\u2013405 (2003)","journal-title":"Comput. Hum."},{"key":"110_CR6","doi-asserted-by":"crossref","unstructured":"Mayfield, E., Ros\u00e9, C.P.: LightSIDE: open source machine learning for text. In Handbook of Automated Essay Evaluation, pp. 146\u2013157. Routledge (2013)","DOI":"10.4324\/9780203122761-16"},{"key":"110_CR7","doi-asserted-by":"crossref","unstructured":"Mello, R.F., et al.: Enhancing instructors\u2019 capability to assess open-response using natural language processing. In: Hilliger, I., Mu\u00f1oz-Merino, P.J., De Laet, T., Ortega-Arranz, A., Farrell, T. (eds.) Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption. EC-TEL 2022. Lecture Notes in Computer Science, vol. 13450, pp. 102\u2013115. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-16290-9_8","DOI":"10.1007\/978-3-031-16290-9_8"},{"key":"110_CR8","doi-asserted-by":"crossref","unstructured":"Thomas, D.R., Yang, X., Gupta, S., Adeniran, A., McLaughlin, E.A., Koedinger, K.R.: When the tutor becomes the student: design and evaluation of efficient scenario-based lessons for tutors. In LAK23: 13th International Learning Analytics and Knowledge Conference (LAK 2023), 13\u201317 March 2023, Arlington, TX, USA. ACM, USA (2023)","DOI":"10.1145\/3576050.3576089"},{"key":"110_CR9","unstructured":"Zhang, M., Baral, S., Heffernan, N., Lan, A.: Automatic short math answer grading via in-context meta-learning. arXiv preprint arXiv:2205.15219 (2022)"}],"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\/978-3-031-36336-8_110","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,29]],"date-time":"2023-06-29T14:12:21Z","timestamp":1688047941000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-36336-8_110"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031363351","9783031363368"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-36336-8_110","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"30 June 2023","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":"Tokyo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","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":"3 July 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 July 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aied2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.aied2023.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"311","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":"53","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":"26","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":"17% - 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":"4","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":"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)"}}]}}