{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T16:51:47Z","timestamp":1771260707389,"version":"3.50.1"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783031116438","type":"print"},{"value":"9783031116445","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-11644-5_68","type":"book-chapter","created":{"date-parts":[[2022,7,26]],"date-time":"2022-07-26T14:18:49Z","timestamp":1658845129000},"page":"685-690","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Enhancing Auto-scoring of\u00a0Student Open Responses in\u00a0the\u00a0Presence of\u00a0Mathematical Terms and\u00a0Expressions"],"prefix":"10.1007","author":[{"given":"Sami","family":"Baral","sequence":"first","affiliation":[]},{"given":"Karthik","family":"Seetharaman","sequence":"additional","affiliation":[]},{"given":"Anthony F.","family":"Botelho","sequence":"additional","affiliation":[]},{"given":"Anzhuo","family":"Wang","sequence":"additional","affiliation":[]},{"given":"George","family":"Heineman","sequence":"additional","affiliation":[]},{"given":"Neil T.","family":"Heffernan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,7,27]]},"reference":[{"key":"68_CR1","unstructured":"Baral, S., Botelho, A., Erickson, J., Benachamardi, P., Heffernan, N.: Improving automated scoring of student open responses in mathematics. In: Proceedings of the Fourteenth International Conference on Educational Data Mining, Paris, France (2021)"},{"key":"68_CR2","unstructured":"Chen, H., He, B.: Automated essay scoring by maximizing human-machine agreement. In: Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pp. 1741\u20131752 (2013)"},{"key":"68_CR3","unstructured":"Dikli, S.: An overview of automated scoring of essays. J. Technol. Learn. Assess. 5(1) (2006)"},{"key":"68_CR4","doi-asserted-by":"crossref","unstructured":"Erickson, J.A., Botelho, A.F., McAteer, S., Varatharaj, A., Heffernan, N.T.: The automated grading of student open responses in mathematics. In: Proceedings of the Tenth International Conference on Learning Analytics and Knowledge, pp. 615\u2013624 (2020)","DOI":"10.1145\/3375462.3375523"},{"key":"68_CR5","unstructured":"Hand, D.J., Till, R.J.: A simple generalisation of the area under the roc curve for multiple class classification problems. Mach. Learn. 45(2), 171\u2013186 (2001)"},{"key":"68_CR6","doi-asserted-by":"crossref","unstructured":"Heffernan, N.T., Heffernan, C.L.: The assistments ecosystem: building a platform that brings scientists and teachers together for minimally invasive research on human learning and teaching. Int. J. Artif. Intell. Educa. 24(4), 470\u2013497 (2014)","DOI":"10.1007\/s40593-014-0024-x"},{"key":"68_CR7","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"},{"key":"68_CR8","doi-asserted-by":"crossref","unstructured":"Riordan, B., Horbach, A., Cahill, A., Zesch, T., Lee, C.: Investigating neural architectures for short answer scoring. In: Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications, pp. 159\u2013168 (2017)","DOI":"10.18653\/v1\/W17-5017"},{"key":"68_CR9","unstructured":"Shen, J.T., et al.: MathBert: a pre-trained language model for general NLP tasks in mathematics education. arXiv preprint arXiv:2106.07340 (2021)"},{"key":"68_CR10","doi-asserted-by":"crossref","unstructured":"van Schuur, W.: Ordinal Item Response Theory: Mokken Scale Analysis, vol. 169. SAGE Publications, Thousand Oaks (2011)","DOI":"10.4135\/9781452230641"},{"key":"68_CR11","doi-asserted-by":"crossref","unstructured":"Zhao, S., Zhang, Y., Xiong, X., Botelho, A., Heffernan, N.: A memory-augmented neural model for automated grading. In: Proceedings of the Fourth (2017) ACM Conference on Learning@ Scale, pp. 189\u2013192 (2017)","DOI":"10.1145\/3051457.3053982"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence in Education"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-11644-5_68","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T19:55:22Z","timestamp":1710359722000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-11644-5_68"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031116438","9783031116445"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-11644-5_68","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"27 July 2022","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":"Durham","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":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 July 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 July 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aied2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aied2022.webspace.durham.ac.uk\/","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":"243","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":"40","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":"40","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":"16% - 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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}