{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T09:31:32Z","timestamp":1777714292786,"version":"3.51.4"},"publisher-location":"Cham","reference-count":65,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030804206","type":"print"},{"value":"9783030804213","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[[2021]]},"DOI":"10.1007\/978-3-030-80421-3_2","type":"book-chapter","created":{"date-parts":[[2021,7,8]],"date-time":"2021-07-08T19:03:04Z","timestamp":1625770984000},"page":"8-21","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Wide-Scale Automatic Analysis of 20 Years of ITS Research"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7704-2562","authenticated-orcid":false,"given":"Ryan","family":"Hodgson","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1454-8822","authenticated-orcid":false,"given":"Alexandra","family":"Cristea","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7119-3207","authenticated-orcid":false,"given":"Lei","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John","family":"Graham","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,7,9]]},"reference":[{"key":"2_CR1","unstructured":"Angelov, D.: Top2Vec: distributed representations of topics. https:\/\/arxiv.org\/abs\/2008.09470."},{"key":"2_CR2","doi-asserted-by":"publisher","first-page":"336","DOI":"10.1007\/s40593-017-0157-9","volume":"28","author":"D Dermeval","year":"2018","unstructured":"Dermeval, D., Paiva, R., Bittencourt, I., Vassileva, J., Borges, D.: Authoring tools for designing intelligent tutoring systems: a systematic review of the literature. Int. J. Artif. Intell. Educ. 28, 336\u2013384 (2018). https:\/\/doi.org\/10.1007\/s40593-017-0157-9","journal-title":"Int. J. Artif. Intell. Educ."},{"key":"2_CR3","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1007\/s40593-014-0028-6","volume":"25","author":"B Nye","year":"2014","unstructured":"Nye, B.: Intelligent tutoring systems by and for the developing world: a review of trends and approaches for educational technology in a global context. Int. J. Artif. Intell. Educ. 25, 177\u2013203 (2014). https:\/\/doi.org\/10.1007\/s40593-014-0028-6","journal-title":"Int. J. Artif. Intell. Educ."},{"key":"2_CR4","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1145\/3130348.3130370","volume":"51","author":"T Hofmann","year":"2017","unstructured":"Hofmann, T.: Probabilistic latent semantic indexing. ACM SIGIR Forum 51, 211\u2013218 (2017)","journal-title":"ACM SIGIR Forum"},{"key":"2_CR5","first-page":"993","volume":"3","author":"D Blei","year":"2003","unstructured":"Blei, D., Ng, A., Jordan, M.: Latent dirichlet allocation. J. Mach. Learn. Res. 3, 993\u20131022 (2003)","journal-title":"J. Mach. Learn. Res."},{"key":"2_CR6","unstructured":"Le, Q., Mikolov, T.: Distributed representations of sentences and documents. In: Proceedings of the 31st International Conference on International Conference on Machine Learning, Beijing, China, pp. 1188\u20131196, JMLR.org. (2014)"},{"key":"2_CR7","unstructured":"Devlin, J., Chang, M., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, vol. 1 (Long and Short Papers), pp. 4171\u20134186 (2019)"},{"key":"2_CR8","doi-asserted-by":"crossref","unstructured":"Cer, D., et al.: Universal sentence encoder (2018)","DOI":"10.18653\/v1\/D18-2029"},{"key":"2_CR9","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"160","DOI":"10.1007\/978-3-642-37456-2_14","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"R Campello","year":"2013","unstructured":"Campello, R., Moulavi, D., Sander, J.: Density-based clustering based on hierarchical density estimates. In: Pei, J., Tseng, V.S., Cao, L., Motoda, H., Xu, G. (eds.) PAKDD 2013. LNCS (LNAI), vol. 7819, pp. 160\u2013172. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-37456-2_14"},{"key":"2_CR10","doi-asserted-by":"publisher","first-page":"861","DOI":"10.21105\/joss.00861","volume":"3","author":"L McInnes","year":"2018","unstructured":"McInnes, L., Healy, J., Saul, N., Gro\u00dfberger, L.: UMAP: uniform manifold approximation and projection. J. Open Source Softw. 3, 861 (2018)","journal-title":"J. Open Source Softw."},{"key":"2_CR11","doi-asserted-by":"crossref","unstructured":"Lang, K.: NewsWeeder: learning to filter netnews. In: Machine Learning Proceedings 1995, pp. 331\u2013339 (1995)","DOI":"10.1016\/B978-1-55860-377-6.50048-7"},{"key":"2_CR12","unstructured":"arXiv API Access, arXiv e-print repository. https:\/\/arxiv.org\/help\/api\/index"},{"key":"2_CR13","unstructured":"Springer API. https:\/\/dev.springernature.com\/"},{"key":"2_CR14","unstructured":"Text and Data Mining on SAGE Journals: SAGE Journals. https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining"},{"key":"2_CR15","unstructured":"Elsevier Developer Portal. https:\/\/dev.elsevier.com\/"},{"key":"2_CR16","unstructured":"CORE API. https:\/\/core.ac.uk\/services\/api\/"},{"key":"2_CR17","unstructured":"Schofield, A., Magnusson, M., Thompson, L., Mimno, D.: Understanding text pre-processing for latent Dirichlet allocation. In: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, pp. 432\u2013436 (2017)"},{"key":"2_CR18","unstructured":"Mimino666\/langdetect. https:\/\/github.com\/Mimino666\/langdetect"},{"key":"2_CR19","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/0377-0427(87)90125-7","volume":"20","author":"P Rousseeuw","year":"1987","unstructured":"Rousseeuw, P.: Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. J. Comput. Appl. Math. 20, 53\u201365 (1987)","journal-title":"J. Comput. Appl. Math."},{"key":"2_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/3-540-45108-0_1","volume-title":"Intelligent Tutoring Systems","author":"P Brusilovsky","year":"2000","unstructured":"Brusilovsky, P.: Adaptive hypermedia: from Intelligent tutoring systems to web-based education. In: Gauthier, G., Frasson, C., VanLehn, K. (eds.) ITS 2000. LNCS, vol. 1839, pp. 1\u20137. Springer, Heidelberg (2000). https:\/\/doi.org\/10.1007\/3-540-45108-0_1"},{"key":"2_CR21","unstructured":"Noguera, J., Ayeni, F., Okuboyejo, S., Adusumi, S.: Towards a Web Based Adaptive and Intelligent Tutoring System. Int. J. Comput. 1 (2017)"},{"key":"2_CR22","doi-asserted-by":"crossref","unstructured":"Bayasut, B., Pramudya, G., Basiron, H.: ULUL-ILM: the design of web-based adaptive educational hypermedia system based on learning style. In: 13th International Conference on Intellient Systems Design and Applications (2013)","DOI":"10.1109\/ISDA.2013.6920725"},{"key":"2_CR23","doi-asserted-by":"publisher","first-page":"2180","DOI":"10.1166\/asl.2014.5660","volume":"20","author":"B Bayasut","year":"2014","unstructured":"Bayasut, B., Pramudya, G., Basiron, H.: The application of multi layer feed forward artificial neural network for learning style identification. Adv. Sci. Lett. 20, 2180\u20132183 (2014)","journal-title":"Adv. Sci. Lett."},{"key":"2_CR24","unstructured":"Mota, J.: Using learning styles and neural networks as an approach to elearning content and layout adaptation (2008)"},{"key":"2_CR25","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1186\/s40561-020-00135-6","volume":"7","author":"S Chimalakonda","year":"2020","unstructured":"Chimalakonda, S., Nori, K.: An ontology based modeling framework for design of educational technologies. Smart Learn. Environ. 7, 28 (2020). https:\/\/doi.org\/10.1186\/s40561-020-00135-6","journal-title":"Smart Learn. Environ."},{"key":"2_CR26","unstructured":"Gouli, E., Kornilakis, H., Papanikolaou, H., Grigoriadou, M.: Adaptive assessment improving interaction in an educational hypermedia system. In: Proceedings of the PanHellenic Conference with International Participation in Human-Computer Interaction, pp. 217\u2013222 (2001)"},{"key":"2_CR27","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"928","DOI":"10.1007\/978-3-642-39112-5_148","volume-title":"Artificial Intelligence in Education","author":"P Jordan","year":"2013","unstructured":"Jordan, P., et al.: Interactive event: the Rimac tutor - a simulation of the highly interactive nature of human tutorial dialogue. In: Lane, H.C., Yacef, K., Mostow, J., Pavlik, P. (eds.) AIED 2013. LNCS (LNAI), vol. 7926, pp. 928\u2013929. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-39112-5_148"},{"key":"2_CR28","unstructured":"Lane, H., VanLehn, K.: A dialogue-based tutoring system for beginning programming. In: FLAIRS Conference, pp. 449\u2013454. AAAI Press, Menlo Park, CA (2004)"},{"key":"2_CR29","unstructured":"Moreno, R., Mayer, R.: Life-like pedagogical agents in constructivist multimedia environments: cognitive consequences of their interaction. In: Conference Proceedings of the World Conference on Educational Multimedia Hypermedia, and Telecommunications (ED-MEDIA), pp. 741\u2013746 (2000)"},{"key":"2_CR30","unstructured":"Moundridou, M., Virvou, M.: Evaluating the impact of interface agents in an intelligent tutoring systems authoring tool. In: Advances in Human-Computer Interaction I: Proceedings of the Panhellenic Conference with International Participation in Human-Computer Interaction, pp. 371\u2013376. Typorama Publications, Patras, Greece (2001)"},{"key":"2_CR31","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1016\/S0360-1315(02)00130-6","volume":"40","author":"C Chou","year":"2003","unstructured":"Chou, C., Chan, T., Lin, C.: Redefining the learning companion: the past, present, and future of educational agents. Comput. Educ. 40, 255\u2013269 (2003)","journal-title":"Comput. Educ."},{"key":"2_CR32","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"592","DOI":"10.1007\/978-3-540-30139-4_56","volume-title":"Intelligent Tutoring Systems","author":"A Baylor","year":"2004","unstructured":"Baylor, A., Kim, Y.: Pedagogical agent design: the impact of agent realism, gender, ethnicity, and instructional role. In: Lester, J.C., Vicari, R.M., Paragua\u00e7u, F. (eds.) ITS 2004. LNCS, vol. 3220, pp. 592\u2013603. Springer, Heidelberg (2004). https:\/\/doi.org\/10.1007\/978-3-540-30139-4_56"},{"key":"2_CR33","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3131287","volume":"14","author":"O Akputu","year":"2018","unstructured":"Akputu, O., Seng, K., Lee, Y., Ang, L.: Emotion recognition using multiple kernel learning toward E-learning applications. ACM Trans. Multimed. Comput. Commun. Appl. 14, 1\u201320 (2018)","journal-title":"ACM Trans. Multimed. Comput. Commun. Appl."},{"key":"2_CR34","unstructured":"Sharma, P., Joshi, S., Gautam, S., Maharjan, S., Filipe, V., Reis, M.: Student engagement detection using emotion analysis, eye tracking and head movement with machine learning. https:\/\/arxiv.org\/abs\/1909.12913"},{"key":"2_CR35","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1186\/s13673-017-0089-2","volume":"7","author":"T Liew","year":"2017","unstructured":"Liew, T., Mat Zin, N., Sahari, N.: Exploring the affective, motivational and cognitive effects of pedagogical agent enthusiasm in a multimedia learning environment. Hum. Cent. Comput. Inf. Sci. 7, 9 (2017). https:\/\/doi.org\/10.1186\/s13673-017-0089-2","journal-title":"Hum. Cent. Comput. Inf. Sci."},{"key":"2_CR36","first-page":"49","volume":"7","author":"C Limongelli","year":"2011","unstructured":"Limongelli, C., Sciarrone, F., Vaste, G.: Personalized e-learning in Moodle: the Moodle_LS system. J. e-Learn. Knowl. Soc. 7, 49\u201358 (2011)","journal-title":"J. e-Learn. Knowl. Soc."},{"key":"2_CR37","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1007\/s10796-005-5337-8","volume":"7","author":"A M\u00f8rch","year":"2005","unstructured":"M\u00f8rch, A., Jondahl, S., Dolonen, J.: Supporting conceptual awareness with pedagogical agents. Inf. Syst. Front. 7, 39\u201353 (2005)","journal-title":"Inf. Syst. Front."},{"key":"2_CR38","first-page":"9","volume":"6","author":"R Monson","year":"2013","unstructured":"Monson, R., Bunney, D., Lawrence, T.: MOOCs. learning analytics and learning advisors. eCULTURE 6, 9\u201322 (2013)","journal-title":"learning analytics and learning advisors. eCULTURE"},{"key":"2_CR39","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1007\/978-3-030-11434-3_3","volume-title":"Mobile Technologies and Applications for the Internet of Things","author":"D Onah","year":"2019","unstructured":"Onah, D., Pang, E., Sinclair, J., Uhomoibhi, J.: Learning analytics for motivating self-regulated learning and fostering the improvement of digital MOOC resources. In: Auer, M.E., Tsiatsos, T. (eds.) IMCL 2018. AISC, vol. 909, pp. 14\u201321. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-11434-3_3"},{"key":"2_CR40","doi-asserted-by":"publisher","first-page":"484","DOI":"10.1007\/s40593-019-00183-1","volume":"29","author":"G Alexandron","year":"2019","unstructured":"Alexandron, G., Yoo, L., Ruip\u00e9rez-Valiente, J., Lee, S., Pritchard, D.: Are MOOC learning analytics results trustworthy? With fake learners, they might not be! Int. J. Artif. Intell. Educ. 29, 484\u2013506 (2019). https:\/\/doi.org\/10.1007\/s40593-019-00183-1","journal-title":"Int. J. Artif. Intell. Educ."},{"key":"2_CR41","doi-asserted-by":"publisher","first-page":"139","DOI":"10.17323\/1814-9545-2018-4-139-166","volume":"4","author":"T Bystrova","year":"2018","unstructured":"Bystrova, T., Larionova, V., Sinitsyn, E., Tolmachev, A.: Learning analytics in massive open online courses as a tool for predicting learner performance. Voprosy obrazovaniya\/Educ. Stud. Mosc. 4, 139\u2013166 (2018)","journal-title":"Voprosy obrazovaniya\/Educ. Stud. Mosc."},{"key":"2_CR42","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1007\/978-3-030-22244-4_20","volume-title":"Intelligent Tutoring Systems","author":"A Alamri","year":"2019","unstructured":"Alamri, A., et al.: Predicting MOOCs dropout using only two easily obtainable features from the first week\u2019s activities. In: Coy, A., Hayashi, Y., Chang, M. (eds.) ITS 2019. LNCS, vol. 11528, pp. 163\u2013173. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-22244-4_20"},{"key":"2_CR43","unstructured":"Gardner, J., Brooks, C.: Dropout model evaluation in MOOCs. https:\/\/arxiv.org\/abs\/1802.06009v1"},{"key":"2_CR44","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1007\/3-540-46014-4_18","volume-title":"Methods and Applications of Artificial Intelligence","author":"H Kornilakis","year":"2002","unstructured":"Kornilakis, H., Papanikolaou, K., Magoulas, G.: Fuzzy inference for student diagnosis in adaptive educational hypermedia. In: Vlahavas, I.P., Spyropoulos, C.D. (eds.) SETN 2002. LNCS (LNAI), vol. 2308, pp. 191\u2013202. Springer, Heidelberg (2002). https:\/\/doi.org\/10.1007\/3-540-46014-4_18"},{"key":"2_CR45","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1016\/j.sbspro.2010.12.134","volume":"9","author":"F Sgr\u00f2","year":"2010","unstructured":"Sgr\u00f2, F., et al.: A neuro-fuzzy approach for student module of physical activity ITS. Procedia Soc. Behav. Sci. 9, 189\u2013193 (2010)","journal-title":"Procedia Soc. Behav. Sci."},{"key":"2_CR46","first-page":"45","volume":"39","author":"M Gumi\u0144ska","year":"2009","unstructured":"Gumi\u0144ska, M., Madejski, J.: Assessment of the didactic measurement results using FCM type networks. Arch. Mater. Sci. Eng. 39, 45\u201352 (2009)","journal-title":"Arch. Mater. Sci. Eng."},{"key":"2_CR47","first-page":"22","volume":"3","author":"N Rengasari","year":"2008","unstructured":"Rengasari, N., Venkatesh, R., Maheswari, N.: Intelligent tutoring system: predicting students results using neural networks. JCIT 3, 22\u201326 (2008)","journal-title":"JCIT"},{"key":"2_CR48","unstructured":"Maffon, H., et al.: Architecture of an intelligent tutoring system applied to the breast cancer based on ontology, artificial neural networks and expert systems. http:\/\/citeseerx.ist.psu.edu\/viewdoc\/summary?doi=10.1.1.681.8541"},{"key":"2_CR49","doi-asserted-by":"publisher","first-page":"6891","DOI":"10.1016\/j.eswa.2010.03.032","volume":"37","author":"M Hogo","year":"2010","unstructured":"Hogo, M.: Evaluation of e-learning systems based on fuzzy clustering models and statistical tools. Expert Syst. Appl. 37, 6891\u20136903 (2010)","journal-title":"Expert Syst. Appl."},{"key":"2_CR50","doi-asserted-by":"publisher","first-page":"41","DOI":"10.3991\/ijep.v3i2.2456","volume":"3","author":"M Soliman","year":"2013","unstructured":"Soliman, M., Guetl, C.: Simulating interactive learning scenarios with intelligent pedagogical agents in a virtual world through BDI-based agents. Int. J. Eng. Pedagogy (iJEP) 3, 41 (2013)","journal-title":"Int. J. Eng. Pedagogy (iJEP)"},{"key":"2_CR51","unstructured":"Buche, C., Querrec, R., De Loor, P., Chevallier, P.: MASCARET: pedagogical multi-agents systems for virtual environment for training. In: Proceedings 2003 International Conference on Cyberworlds, pp. 423\u2013430 (2003)"},{"key":"2_CR52","unstructured":"Huang, L., Ho, C.: Building and adaptive learning mechanism to assist eLearning students. In: AMCIS 2009 Proceedings, p. 201 (2009)"},{"key":"2_CR53","unstructured":"Furtado, V., Filho, J.: A multi-agent simulator for teaching police allocation. In: Proceedings of the National Conference on Artificial Intelligence, pp. 1521\u20131528 (2005)"},{"key":"2_CR54","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"641","DOI":"10.1007\/978-3-642-34654-5_65","volume-title":"Advances in Artificial Intelligence \u2013 IBERAMIA 2012","author":"C Giuffra","year":"2012","unstructured":"Giuffra, C., Silveira, R.: An agent based model for integrating intelligent tutoring system and virtual learning environments. In: Pav\u00f3n, J., Duque-M\u00e9ndez, N.D., Fuentes-Fern\u00e1ndez, R. (eds.) IBERAMIA 2012. LNCS (LNAI), vol. 7637, pp. 641\u2013650. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-34654-5_65"},{"key":"2_CR55","doi-asserted-by":"crossref","unstructured":"Papagiannakis, G., et al.: MAGES 3.0: Tying the Knot of Medical VR. ACM SIGGRAPH 2020 Immersive Pavilion. Association for Computing Machinery, New York (2020)","DOI":"10.1145\/3388536.3407888"},{"key":"2_CR56","doi-asserted-by":"crossref","unstructured":"Terracina, A., Berta, R., Bordini, F., Damilano, R., Mecella, M.: Teaching STEM through a role-playing serious game and intelligent pedagogical agents. In: 2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT), pp. 148\u2013152 (2016)","DOI":"10.1109\/ICALT.2016.121"},{"key":"2_CR57","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"614","DOI":"10.1007\/978-3-030-11932-4_58","volume-title":"The Challenges of the Digital Transformation in Education","author":"A Steinmaurer","year":"2019","unstructured":"Steinmaurer, A., Pirker, J., G\u00fctl, C.: sCool - game based learning in STEM education: a case study in secondary education. In: Auer, M.E., Tsiatsos, T.. (eds.) ICL 2018. AISC, vol. 916, pp. 614\u2013625. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-11932-4_58"},{"key":"2_CR58","doi-asserted-by":"publisher","first-page":"775","DOI":"10.1177\/0735633117731872","volume":"56","author":"D Hooshyar","year":"2018","unstructured":"Hooshyar, D., Binti Ahmad, R., Wang, M., Yousefi, M., Fathi, M., Lim, H.: Development and evaluation of a game-based Bayesian intelligent tutoring system for teaching programming. J. Educ. Comput. Res. 56, 775\u2013801 (2018)","journal-title":"J. Educ. Comput. Res."},{"key":"2_CR59","unstructured":"Saha, S., Dhamecha, T., Marvaniya, S., Foltz, P.: (PDF) Joint multi-domain learning for automatic short answer grading. https:\/\/www.researchgate.net\/publication\/331343422_Joint_Multi-Domain_Learning_for_Automatic_Short_Answer_Grading"},{"key":"2_CR60","doi-asserted-by":"crossref","unstructured":"Cozma, M., Butnaru, A., Ionescu, R.: Automated essay scoring with string kernels and word embeddings. In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, vol. 2: Short Papers (2018)","DOI":"10.18653\/v1\/P18-2080"},{"key":"2_CR61","doi-asserted-by":"publisher","first-page":"52","DOI":"10.4018\/IJDET.2017010104","volume":"15","author":"M Liu","year":"2017","unstructured":"Liu, M., Wang, Y., Xu, W., Liu, L.: Automated scoring of Chinese engineering students\u2019 english essays. Int. J. Distance Educ. Technol. 15, 52\u201368 (2017)","journal-title":"Int. J. Distance Educ. Technol."},{"key":"2_CR62","unstructured":"Bhat, A.: Sketchography - automatic grading of map sketches for geography education (2017)"},{"key":"2_CR63","unstructured":"Hou, Y., Zhou, P., Wang, T., Yu, L., Hu, L., Wu, D.: Context-aware online learning for course recommendation of MOOC big data. ArXiv. abs\/1610.03147 (2016)"},{"key":"2_CR64","unstructured":"Demertzi, V., Demertzis, K.: A hybrid adaptive educational eLearning project based on ontologies matching and recommendation system. https:\/\/arxiv.org\/abs\/2007.14771"},{"key":"2_CR65","doi-asserted-by":"crossref","unstructured":"Kumar, S., Zhang, X., Leskovek, J.: Predicting dynamic embedding trajectory in temporal interaction networks. In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 1269\u20131278. ACM, New York (2019)","DOI":"10.1145\/3292500.3330895"}],"container-title":["Lecture Notes in Computer Science","Intelligent Tutoring Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-80421-3_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,7,12]],"date-time":"2021-07-12T23:21:07Z","timestamp":1626132067000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-80421-3_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030804206","9783030804213"],"references-count":65,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-80421-3_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"9 July 2021","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":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 June 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 June 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"its2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/its2021.iis-international.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":"OCS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"87","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":"22","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":"22","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":"25% - 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":"2","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)"}}]}}