{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T19:32:29Z","timestamp":1774553549878,"version":"3.50.1"},"publisher-location":"Cham","reference-count":23,"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_7","type":"book-chapter","created":{"date-parts":[[2022,7,26]],"date-time":"2022-07-26T14:18:49Z","timestamp":1658845129000},"page":"78-89","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Leveraging Student Goal Setting for Real-Time Plan Recognition in Game-Based Learning"],"prefix":"10.1007","author":[{"given":"Alex","family":"Goslen","sequence":"first","affiliation":[]},{"given":"Dan","family":"Carpenter","sequence":"additional","affiliation":[]},{"given":"Jonathan P.","family":"Rowe","sequence":"additional","affiliation":[]},{"given":"Nathan","family":"Henderson","sequence":"additional","affiliation":[]},{"given":"Roger","family":"Azevedo","sequence":"additional","affiliation":[]},{"given":"James","family":"Lester","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,7,27]]},"reference":[{"key":"7_CR1","unstructured":"Azevedo, R., Wiedbusch, M.: Theories of metacognition and pedagogy applied in AIED systems. In: du Boulay (ed.) Handbook of Artificial Intelligence in Education. Springer, The Netherlands (in Press)"},{"key":"7_CR2","doi-asserted-by":"crossref","unstructured":"Baikadi, A., et al.: Towards a computational model of narrative visualization. In: Workshops at the Seventh Artificial Intelligence and Interactive Digital Entertainment Conference, pp. 2\u20139, October 2011","DOI":"10.1609\/aiide.v7i2.12470"},{"key":"7_CR3","unstructured":"Blaylock, N., Allen, J.: Corpus-based, statistical goal recognition. In: International Joint Conference on Artificial Intelligence, vol. 3, pp. 1303\u20131308, August 2003"},{"key":"7_CR4","first-page":"76","volume":"3","author":"M Boekaerts","year":"2015","unstructured":"Boekaerts, M., Pekrun, R.: Emotions and emotion regulation in academic settings. Handb. Educ. Psychol. 3, 76\u201390 (2015)","journal-title":"Handb. Educ. Psychol."},{"key":"7_CR5","unstructured":"Bholowalia, P., Kumar, A.: EBK-means: a clustering technique based on elbow method and k-means in WSN. Int. J. Comput. Appl. 105(9) (2014)"},{"issue":"4","key":"7_CR6","doi-asserted-by":"publisher","first-page":"371","DOI":"10.1023\/A:1021258506583","volume":"12","author":"C Conati","year":"2002","unstructured":"Conati, C., Gertner, A., Vanlehn, K.: Using Bayesian networks to manage uncertainty in student modeling. User Model. User-Adap. Inter. 12(4), 371\u2013417 (2002)","journal-title":"User Model. User-Adap. Inter."},{"key":"7_CR7","unstructured":"Geib, C., Steedman, M.: On natural language processing and plan recognition. In: International Joint Conference on Artificial Intelligence, vol. 2007, pp. 1612\u20131617, January 2007"},{"key":"7_CR8","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139583923","volume-title":"Automated Planning and Acting","author":"M Ghallab","year":"2016","unstructured":"Ghallab, M., Nau, D., Traverso, P.: Automated Planning and Acting. Cambridge University Press (2016)"},{"issue":"4","key":"7_CR9","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1080\/00461520.2010.515933","volume":"45","author":"A Graesser","year":"2010","unstructured":"Graesser, A., McNamara, D.: Self-regulated learning in learning environments with pedagogical agents that interact in natural language. Educ. Psychol. 45(4), 234\u2013244 (2010)","journal-title":"Educ. Psychol."},{"key":"7_CR10","doi-asserted-by":"crossref","unstructured":"Ha, E.Y., Rowe, J.P., Mott, B.W., Lester, J.C.: Goal recognition with Markov logic networks for player-adaptive games. In: Seventh Artificial Intelligence and Interactive Digital Entertainment Conference, pp. 32\u201339, October 2011","DOI":"10.1609\/aiide.v7i1.12434"},{"issue":"3","key":"7_CR11","doi-asserted-by":"publisher","first-page":"1083","DOI":"10.1016\/j.eswa.2014.08.036","volume":"42","author":"SM Liu","year":"2015","unstructured":"Liu, S.M., Chen, J.H.: A multi-label classification based approach for sentiment classification. Expert Syst. Appl. 42(3), 1083\u20131093 (2015)","journal-title":"Expert Syst. Appl."},{"issue":"9","key":"7_CR12","doi-asserted-by":"publisher","first-page":"3084","DOI":"10.1016\/j.patcog.2012.03.004","volume":"45","author":"G Madjarov","year":"2012","unstructured":"Madjarov, G., Kocev, D., Gjorgjevikj, D., D\u017eeroski, S.: An extensive experimental comparison of methods for multi-label learning. Pattern Recogn. 45(9), 3084\u20133104 (2012)","journal-title":"Pattern Recogn."},{"key":"7_CR13","doi-asserted-by":"crossref","unstructured":"Min, W., Ha, E.Y., Rowe, J., Mott, B., Lester, J.: Deep learning-based goal recognition in open-ended digital games. In: Tenth Artificial Intelligence and Interactive Digital Entertainment Conference, pp. 37\u201343, September 2014","DOI":"10.1609\/aiide.v10i1.12717"},{"key":"7_CR14","doi-asserted-by":"crossref","unstructured":"Min, W., et al. Multimodal goal recognition in open-world digital games. In: Thirteenth Artificial Intelligence and Interactive Digital Entertainment Conference, pp. 80\u201386, September 2017","DOI":"10.1609\/aiide.v13i1.12939"},{"key":"7_CR15","unstructured":"Min, W., Mott, B.W., Rowe, J.P., Liu, B., Lester, J.C.: Player goal recognition in open-world digital games with long short-term memory networks. In: Twenty-Fifth International Joint Conference on Artificial Intelligence, pp. 2590\u20132596, July 2016"},{"issue":"3","key":"7_CR16","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1016\/j.ipm.2018.01.002","volume":"54","author":"RB Pereira","year":"2018","unstructured":"Pereira, R.B., Plastino, A., Zadrozny, B., Merschmann, L.H.: Correlation analysis of performance measures for multi-label classification. Inf. Process. Manage. 54(3), 359\u2013369 (2018)","journal-title":"Inf. Process. Manage."},{"key":"7_CR17","doi-asserted-by":"crossref","unstructured":"Schunk, D.H., Greene, J.A.: Historical, Contemporary, and Future Perspectives on Self-Regulated Learning and Performance, pp. 1\u201315. Routledge, New York (2017)","DOI":"10.4324\/9781315697048-1"},{"key":"7_CR18","unstructured":"Srinivasa-Desikan, B.: Natural Language Processing and Computational Linguistics: A Practical Guide to Text Analysis with Python, Gensim, spaCy, and Keras. Packt Publishing Ltd.. (2018)"},{"key":"7_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.compedu.2019.103646","volume":"142","author":"D Weintrop","year":"2019","unstructured":"Weintrop, D., Wilensky, U.: Transitioning from introductory block-based and text-based environments to professional programming languages in high school computer science classrooms. Comput. Educ. 142, 103646 (2019)","journal-title":"Comput. Educ."},{"key":"7_CR20","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1007\/978-94-6209-497-0_55","volume-title":"The language of science education","author":"WF McComas","year":"2014","unstructured":"McComas, W.F.: Metacognition. In: McComas, W.F. (ed.) The language of science education, pp. 63\u201363. SensePublishers, Rotterdam (2014). https:\/\/doi.org\/10.1007\/978-94-6209-497-0_55"},{"key":"7_CR21","unstructured":"Winne, P.H., Hadwin, A.E.: Studying as Self-Regulated Learning, pp. 291\u2013318. Routledge, New York (2018)"},{"key":"7_CR22","unstructured":"Winne, P.H., Hadwin, A.F.: The weave of motivation and self-regulated learning. In: Schunk, D.H., Zimmerman, E.J. (eds.) Motivation and Self-Regulated Learning: Theory, Research, and Applications, pp. 297\u2013314. Lawrence Erlbaum Associates Publishers (2008)"},{"issue":"1","key":"7_CR23","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1111\/bjep.12173","volume":"88","author":"PH Winne","year":"2018","unstructured":"Winne, P.H.: Theorizing and researching levels of processing in self-regulated learning. Br. J. Educ. Psychol. 88(1), 9\u201320 (2018)","journal-title":"Br. J. Educ. Psychol."}],"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_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T19:46:56Z","timestamp":1710359216000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-11644-5_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031116438","9783031116445"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-11644-5_7","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)"}}]}}