{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T02:13:30Z","timestamp":1742955210772,"version":"3.40.3"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030522391"},{"type":"electronic","value":"9783030522407"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-52240-7_15","type":"book-chapter","created":{"date-parts":[[2020,7,4]],"date-time":"2020-07-04T09:02:55Z","timestamp":1593853375000},"page":"80-85","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Multi-document Cohesion Network Analysis: Visualizing Intratextual and Intertextual Links"],"prefix":"10.1007","author":[{"given":"Maria-Dorinela","family":"Dascalu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefan","family":"Ruseti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mihai","family":"Dascalu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Danielle S.","family":"McNamara","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefan","family":"Trausan-Matu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,6,30]]},"reference":[{"key":"15_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1207\/s15326950dp3801_1","volume":"38","author":"DS McNamara","year":"2004","unstructured":"McNamara, D.S.: SERT: self-explanation reading training. Discourse Process. 38, 1\u201330 (2004)","journal-title":"Discourse Process."},{"issue":"2","key":"15_CR2","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1080\/01638530709336895","volume":"43","author":"T O\u2019Reilly","year":"2007","unstructured":"O\u2019Reilly, T., McNamara, D.S.: Reversing the reverse cohesion effect: good texts can be better for strategic, high-knowledge readers. Discourse Process. 43(2), 121\u2013152 (2007)","journal-title":"Discourse Process."},{"issue":"2","key":"15_CR3","doi-asserted-by":"publisher","first-page":"604","DOI":"10.3758\/s13428-017-0888-4","volume":"50","author":"M Dascalu","year":"2018","unstructured":"Dascalu, M., McNamara, D.S., Trausan-Matu, S., Allen, L.K.: Cohesion network analysis of CSCL participation. Behav. Res. Methods 50(2), 604\u2013619 (2018)","journal-title":"Behav. Res. Methods"},{"key":"15_CR4","doi-asserted-by":"publisher","DOI":"10.4135\/9781529716597","volume-title":"Social Network Analysis","author":"J Scott","year":"2017","unstructured":"Scott, J.: Social Network Analysis. Sage, London (2017)"},{"key":"15_CR5","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"358","DOI":"10.1007\/978-3-030-23204-7_30","volume-title":"Artificial Intelligence in Education","author":"B Nicula","year":"2019","unstructured":"Nicula, B., Perret, C.A., Dascalu, M., McNamara, D.S.: Predicting multi-document comprehension: cohesion network analysis. In: Isotani, S., Mill\u00e1n, E., Ogan, A., Hastings, P., McLaren, B., Luckin, R. (eds.) AIED 2019. LNCS (LNAI), vol. 11625, pp. 358\u2013369. Springer, Cham (2019). \nhttps:\/\/doi.org\/10.1007\/978-3-030-23204-7_30"},{"issue":"2","key":"15_CR6","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1037\/0033-295X.104.2.211","volume":"104","author":"TK Landauer","year":"1997","unstructured":"Landauer, T.K., Dumais, S.T.: A solution to Plato\u2019s problem: the Latent Semantic Analysis theory of acquisition, induction and representation of knowledge. Psychol. Rev. 104(2), 211\u2013240 (1997)","journal-title":"Psychol. Rev."},{"issue":"4\u20135","key":"15_CR7","first-page":"993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3(4\u20135), 993\u20131022 (2003)","journal-title":"J. Mach. Learn. Res."},{"key":"15_CR8","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representation in vector space. In: Workshop at ICLR, Scottsdale, AZ (2013)"},{"key":"15_CR9","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1162\/tacl_a_00051","volume":"5","author":"P Bojanowski","year":"2017","unstructured":"Bojanowski, P., Grave, E., Joulin, A., Mikolov, T.: Enriching word vectors with subword information. Trans. Assoc. Comput. Linguist. 5, 135\u2013146 (2017)","journal-title":"Trans. Assoc. Comput. Linguist."},{"key":"15_CR10","doi-asserted-by":"crossref","unstructured":"Pennington, J., Socher, R., Manning, C.D.: Glove: global vectors for word representation. In: The 2014 Conference on Empirical Methods on Natural Language Processing (EMNLP 2014), vol. 14. ACL, Doha (2014)","DOI":"10.3115\/v1\/D14-1162"},{"issue":"4","key":"15_CR11","doi-asserted-by":"publisher","first-page":"292","DOI":"10.1080\/01638530902959943","volume":"47","author":"DS McNamara","year":"2010","unstructured":"McNamara, D.S., Louwerse, M.M., McCarthy, P.M., Graesser, A.C.: Coh-Metrix: capturing linguistic features of cohesion. Discourse Process. 47(4), 292\u2013330 (2010)","journal-title":"Discourse Process."}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence in Education"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-52240-7_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,7,4]],"date-time":"2020-07-04T11:06:29Z","timestamp":1593860789000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-52240-7_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030522391","9783030522407"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-52240-7_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"30 June 2020","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":"Ifrane","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Morocco","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 July 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 July 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aied2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aied2020.nees.com.br\/#\/","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":"214","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":"49","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":"66","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":"23% - 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":"3","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":"4","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)"}},{"value":"The conference was held virtually due to the COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}