{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T01:36:45Z","timestamp":1742953005006,"version":"3.40.3"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031096792"},{"type":"electronic","value":"9783031096808"}],"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\/978-3-031-09680-8_5","type":"book-chapter","created":{"date-parts":[[2022,6,23]],"date-time":"2022-06-23T23:02:58Z","timestamp":1656025378000},"page":"51-64","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Cross-Cutting Support of\u00a0Making and\u00a0Explaining Decisions in\u00a0Intelligent Tutoring Systems Using Cognitive Maps of\u00a0Knowledge Diagnosis"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1205-2652","authenticated-orcid":false,"given":"Viktor","family":"Uglev","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7296-2538","authenticated-orcid":false,"given":"Oleg","family":"Sychev","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1466-8100","authenticated-orcid":false,"given":"Tatiana","family":"Gavrilova","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,6,24]]},"reference":[{"key":"5_CR1","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1016\/j.inffus.2019.12.012","volume":"58","author":"AB Arrieta","year":"2020","unstructured":"Arrieta, A.B., et al.: Explainable artificial intelligence (XAI): concepts, taxonomies, opportunities and challenges toward responsible AI. Inf. Fusion 58, 82\u2013115 (2020)","journal-title":"Inf. Fusion"},{"issue":"1","key":"5_CR2","first-page":"228","volume":"4","author":"BA Bargel","year":"2012","unstructured":"Bargel, B.A., Schr\u00f6ck, J., Szentes, D., Roller, W.: Using learning maps for visualization of adaptive learning path components. Int. J. Comput. Inf. Syst. Ind. Manag. Appl. 4(1), 228\u2013235 (2012)","journal-title":"Int. J. Comput. Inf. Syst. Ind. Manag. Appl."},{"key":"5_CR3","doi-asserted-by":"publisher","unstructured":"Bodily, R., Verbert, K.: Trends and issues in student-facing learning analytics reporting systems research. In: Proceedings of the Seventh International Learning Analytics & Knowledge Conference, pp. 309\u2013318. LAK 2017, Association for Computing Machinery, New York (2017). https:\/\/doi.org\/10.1145\/3027385.3027403","DOI":"10.1145\/3027385.3027403"},{"key":"5_CR4","unstructured":"Brusilovsky, P., Rus, V.: Social navigation for self-improving intelligent educational systems, pp. 131\u2013145. Army Research Laboratory, December 2019. https:\/\/www.pitt.edu\/~peterb\/papers\/SocNav4SIS.pdf"},{"key":"5_CR5","doi-asserted-by":"publisher","unstructured":"Davis, D., Jivet, I., Kizilcec, R.F., Chen, G., Hauff, C., Houben, G.J.: Follow the successful crowd: raising MOOC completion rates through social comparison at scale. In: Proceedings of the Seventh International Learning Analytics & Knowledge Conference. p. 454\u2013463. LAK 2017, Association for Computing Machinery, New York (2017). https:\/\/doi.org\/10.1145\/3027385.3027411","DOI":"10.1145\/3027385.3027411"},{"key":"5_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"411","DOI":"10.1007\/978-3-030-49663-0_51","volume-title":"Intelligent Tutoring Systems","author":"DS Fleur","year":"2020","unstructured":"Fleur, D.S., van den Bos, W., Bredeweg, B.: Learning analytics dashboard for motivation and performance. In: Kumar, V., Troussas, C. (eds.) ITS 2020. LNCS, vol. 12149, pp. 411\u2013419. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-49663-0_51"},{"key":"5_CR7","unstructured":"France, L., Heraud, J.M., Marty, J.C., Carron, T., Heili, J.: Monitoring virtual classroom: visualization techniques to observe student activities in an e-learning system. In: Sixth IEEE International Conference on Advanced Learning Technologies (ICALT 2006), pp. 716\u2013720. IEEE (2006)"},{"key":"5_CR8","doi-asserted-by":"crossref","unstructured":"Grann, J., Bushway, D.: Competency map: visualizing student learning to promote student success. In: Proceedings of the Fourth International Conference on Learning Analytics and Knowledge, pp. 168\u2013172 (2014)","DOI":"10.1145\/2567574.2567622"},{"issue":"2","key":"5_CR9","first-page":"44","volume":"40","author":"D Gunning","year":"2019","unstructured":"Gunning, D., Aha, D.: DARPA\u2019s explainable artificial intelligence (XAI) program. AI Mag. 40(2), 44\u201358 (2019)","journal-title":"AI Mag."},{"key":"5_CR10","doi-asserted-by":"publisher","unstructured":"Jivet, I., Scheffel, M., Specht, M., Drachsler, H.: License to evaluate: preparing learning analytics dashboards for educational practice. In: Proceedings of the 8th International Conference on Learning Analytics and Knowledge, pp. 31\u201340 (2018). https:\/\/doi.org\/10.1145\/3170358.3170421","DOI":"10.1145\/3170358.3170421"},{"key":"5_CR11","doi-asserted-by":"publisher","unstructured":"Karpenko, A., Dobryakov, A.: Model for automated training systems. overview, science and education. Sci. Educ. 7, 1\u201363 (2011). https:\/\/doi.org\/10.7463\/0715.0193116. (in Russian)","DOI":"10.7463\/0715.0193116"},{"issue":"4","key":"5_CR12","doi-asserted-by":"publisher","first-page":"2635","DOI":"10.1007\/s10639-019-10063-9","volume":"25","author":"SS Khanal","year":"2019","unstructured":"Khanal, S.S., Prasad, P.W.C., Alsadoon, A., Maag, A.: A systematic review: machine learning based recommendation systems for e-learning. Educ. Inf. Technol. 25(4), 2635\u20132664 (2019). https:\/\/doi.org\/10.1007\/s10639-019-10063-9","journal-title":"Educ. Inf. Technol."},{"key":"5_CR13","doi-asserted-by":"publisher","unstructured":"Kumar, A.N.: Generation of problems, answers, grade, and feedback\u2013case study of a fully Automated Tutor. J. Educ. Resour. Comput. 5(3), 3-es (2005). https:\/\/doi.org\/10.1145\/1163405.1163408","DOI":"10.1145\/1163405.1163408"},{"key":"5_CR14","volume-title":"Lectures\u2019 about the theory of Reflexive Games","author":"V Lefebvre","year":"2009","unstructured":"Lefebvre, V.: Lectures\u2019 about the theory of Reflexive Games. Cogito-Tsentr, Moscow (2009)"},{"key":"5_CR15","unstructured":"Mashbitz, E., Andrievskays, V., Komissarova, E.: Dialog in a Tutoring System. Kiev, Higher school (1989). (in Russian)"},{"key":"5_CR16","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"383","DOI":"10.1007\/978-3-030-23204-7_32","volume-title":"Artificial Intelligence in Education","author":"E O\u2019Rourke","year":"2019","unstructured":"O\u2019Rourke, E., Butler, E., D\u00edaz Tolentino, A., Popovi\u0107, Z.: Automatic generation of problems and explanations for an intelligent algebra tutor. In: Isotani, S., Mill\u00e1n, E., Ogan, A., Hastings, P., McLaren, B., Luckin, R. (eds.) AIED 2019. LNCS (LNAI), vol. 11625, pp. 383\u2013395. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-23204-7_32"},{"key":"5_CR17","doi-asserted-by":"crossref","unstructured":"Pirrone, R., Cannella, V., Russo, G.: A map-based visualization tool to support tutors in e-learning 2.0. In: 2009 2nd Conference on Human System Interactions, pp. 485\u2013490. IEEE (2009)","DOI":"10.1109\/HSI.2009.5091027"},{"issue":"5","key":"5_CR18","doi-asserted-by":"publisher","first-page":"4231","DOI":"10.1007\/s10639-020-10127-1","volume":"25","author":"S Takada","year":"2020","unstructured":"Takada, S., et al.: Toward the visual understanding of computing curricula. Educ. Inf. Technol. 25(5), 4231\u20134270 (2020). https:\/\/doi.org\/10.1007\/s10639-020-10127-1","journal-title":"Educ. Inf. Technol."},{"issue":"1","key":"5_CR19","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1007\/s10462-017-9539-5","volume":"50","author":"JK Tarus","year":"2017","unstructured":"Tarus, J.K., Niu, Z., Mustafa, G.: Knowledge-based recommendation: a review of ontology-based recommender systems for e-learning. Artif. Intell. Rev. 50(1), 21\u201348 (2017). https:\/\/doi.org\/10.1007\/s10462-017-9539-5","journal-title":"Artif. Intell. Rev."},{"key":"5_CR20","unstructured":"Tuah, N.M., Yoag, A., Nizam, D., Mohd, N., Chin, C.W.: A dashboard-based system to manage and monitor the progression of undergraduate it degree final year projects. Pertanika J. Sci. Technol. 30(1) (2022)"},{"key":"5_CR21","doi-asserted-by":"publisher","unstructured":"Uglev, V., Zakharyin, K., Baryshev, R.: Cognitive maps of knowledge diagnosis as an element of a digital educational footprint and a copyright object. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds.) CoMeSySo 2020. AISC, vol. 1295, pp. 349\u2013357. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-63319-6_31","DOI":"10.1007\/978-3-030-63319-6_31"},{"key":"5_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1007\/978-3-030-80421-3_11","volume-title":"Intelligent Tutoring Systems","author":"V Uglev","year":"2021","unstructured":"Uglev, V., Sychev, O.: Creating and visualising cognitive maps of knowledge diagnosis during the processing of learning digital footprint. In: Cristea, A.I., Troussas, C. (eds.) ITS 2021. LNCS, vol. 12677, pp. 93\u201398. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-80421-3_11"},{"key":"5_CR23","doi-asserted-by":"crossref","unstructured":"Uglev, V.A., Ustinov, V.A.: The new competencies development level expertise method within intelligent automated educational systems. In: Trends in Practical Applications of Heterogeneous Multi-agent Systems. The PAAMS Collection, pp. 157\u2013164 (2014)","DOI":"10.1007\/978-3-319-07476-4_19"},{"key":"5_CR24","unstructured":"Zakharova, I., Avriskin, M.: Student\u2019s digital footprint: from data to predictions and recommendations. In: Education Informatization and the Methods of Online Learning: Digital Technologies in Education: Proceedings of V International Conference, pp. 120\u2013124 (2021)"},{"issue":"2","key":"5_CR25","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1007\/s11280-012-0171-7","volume":"17","author":"S Zhang","year":"2012","unstructured":"Zhang, S., Luo, X., Xuan, J., Chen, X., Xu, W.: Discovering small-world in association link networks for association learning. World Wide Web 17(2), 229\u2013254 (2012). https:\/\/doi.org\/10.1007\/s11280-012-0171-7","journal-title":"World Wide Web"}],"container-title":["Lecture Notes in Computer Science","Intelligent Tutoring Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-09680-8_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,10]],"date-time":"2022-08-10T19:25:37Z","timestamp":1660159537000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-09680-8_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031096792","9783031096808"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-09680-8_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"24 June 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ITS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Tutoring Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bucharest","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Romania","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":"29 June 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 July 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"its2022","order":10,"name":"conference_id","label":"Conference ID","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":"50","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":"14","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":"13","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":"28% - 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":"3.8","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":"2.8","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)"}},{"value":"Additionally, there are 11 poster papers.","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)"}}]}}