{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T00:37:43Z","timestamp":1743122263813,"version":"3.40.3"},"publisher-location":"Cham","reference-count":11,"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_112","type":"book-chapter","created":{"date-parts":[[2023,6,29]],"date-time":"2023-06-29T14:02:43Z","timestamp":1688047363000},"page":"727-733","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Using Simple Text Mining Tools to Power an Intelligent Learning System for Lengthy, Domain Specific Texts"],"prefix":"10.1007","author":[{"given":"John","family":"Sabatini","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John","family":"Hollander","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,6,30]]},"reference":[{"issue":"6","key":"112_CR1","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1080\/00220671.1974.10884622","volume":"67","author":"CB Marks","year":"1974","unstructured":"Marks, C.B., Doctorow, M.J., Wittrock, M.C.: Word frequency and reading comprehension. J. Educ. Res. 67(6), 259 (1974)","journal-title":"J. Educ. Res."},{"key":"112_CR2","unstructured":"Nagy, W.E., Herman, P.A.: Breadth and depth of vocabulary knowledge: Implications for acquisition and instruction. Nat. Vocab. Acquis. 19\u201335 (2014)"},{"issue":"1","key":"112_CR3","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1080\/10494820600996972","volume":"15","author":"P Sharma","year":"2007","unstructured":"Sharma, P., Hannafin, M.J.: Scaffolding in technology-enhanced learning environments. Interact. Learn. Environ. 15(1), 27\u201346 (2007)","journal-title":"Interact. Learn. Environ."},{"key":"112_CR4","doi-asserted-by":"crossref","unstructured":"Burstein, J., Madnani, N., Sabatini, J., McCaffrey, D., Biggers, K., Dreier, K.: Generating language activities in real-time for English learners using language muse. In: Proceedings of the Fourth ACM Conference on Learning@ Scale, pp. 213\u2013215 (2017)","DOI":"10.1145\/3051457.3053988"},{"issue":"1","key":"112_CR5","first-page":"1","volume":"2014","author":"P Deane","year":"2014","unstructured":"Deane, P., Lawless, R.R., Li, C., Sabatini, J., Bejar, I.I., O\u2019Reilly, T.: Creating vocabulary item types that measure students\u2019 depth of semantic knowledge. ETS Res. Rep. Ser. 2014(1), 1\u201319 (2014)","journal-title":"ETS Res. Rep. Ser."},{"key":"112_CR6","doi-asserted-by":"crossref","unstructured":"Rowland, C.A.: The effect of testing versus restudy on retention: a meta-analytic review of the testing effect. Psychol. Bull. 140(6), 1432 (2014)","DOI":"10.1037\/a0037559"},{"issue":"3","key":"112_CR7","doi-asserted-by":"publisher","first-page":"37","DOI":"10.21105\/joss.00037","volume":"1","author":"J Silge","year":"2016","unstructured":"Silge, J., Robinson, D.: tidytext: Text mining and analysis using tidy data principles in R. J. Open Source Softw. 1(3), 37 (2016)","journal-title":"J. Open Source Softw."},{"key":"112_CR8","doi-asserted-by":"crossref","unstructured":"Locke, J.L., Wright, B.: The American Yawp: A Massively Collaborative Open US History Textbook, vol. 1\u20131877. Stanford University Press (2019)","DOI":"10.1515\/9781503608146"},{"key":"112_CR9","unstructured":"Fowler, S., Roush, R., Wise, J.: Concepts of Biology (OpenStax). OpenStax (2013)"},{"key":"112_CR10","unstructured":"Shelley, M.: The Modern Prometheus. U. K. Lackington Hughes Harding Mavor Jones, 1818"},{"issue":"4","key":"112_CR11","doi-asserted-by":"publisher","first-page":"991","DOI":"10.3758\/s13428-012-0190-4","volume":"44","author":"M Brysbaert","year":"2012","unstructured":"Brysbaert, M., New, B., Keuleers, E.: Adding part-of-speech information to the SUBTLEX-US word frequencies. Behav. Res. Methods 44(4), 991\u2013997 (2012). https:\/\/doi.org\/10.3758\/s13428-012-0190-4","journal-title":"Behav. Res. Methods"}],"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_112","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,29]],"date-time":"2023-06-29T14:12:24Z","timestamp":1688047944000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-36336-8_112"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031363351","9783031363368"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-36336-8_112","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)"}}]}}