{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T16:38:35Z","timestamp":1743007115278,"version":"3.40.3"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031347344"},{"type":"electronic","value":"9783031347351"}],"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\/978-3-031-34735-1_9","type":"book-chapter","created":{"date-parts":[[2023,7,8]],"date-time":"2023-07-08T23:04:27Z","timestamp":1688857467000},"page":"123-136","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Cognitive Simulations for\u00a0Adaptive Instructional Systems: Exploring Instruction Strategies with\u00a0Simulated Tutors and\u00a0Learners"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0901-8293","authenticated-orcid":false,"given":"Bruno","family":"Emond","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3872-8561","authenticated-orcid":false,"given":"Reza","family":"Zeinali-Torbati","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8423-0572","authenticated-orcid":false,"given":"Jennifer","family":"Smith","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1029-3615","authenticated-orcid":false,"given":"Randy","family":"Billard","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3371-1082","authenticated-orcid":false,"given":"Joshua","family":"Barnes","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5450-4587","authenticated-orcid":false,"given":"Brian","family":"Veitch","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,7,9]]},"reference":[{"key":"9_CR1","unstructured":"ACT-R Research Group (2002). http:\/\/act-r.psy.cmu.edu, http:\/\/act-r.psy.cmu.edu"},{"key":"9_CR2","doi-asserted-by":"publisher","unstructured":"Anderson, J., Betts, S., Bothell, D., Hope, R.M., Lebiere, C.: Three aspects of skill acquisition, June 2018. https:\/\/doi.org\/10.31234\/osf.io\/rh6zt, psyarxiv.com\/rh6zt","DOI":"10.31234\/osf.io\/rh6zt"},{"key":"9_CR3","doi-asserted-by":"publisher","unstructured":"Anderson, J.R., Betts, S., Bothell, D., Lebiere, C.: Discovering skill. Cogn. Psychol. 129, 101410 (2021). https:\/\/doi.org\/10.1016\/j.cogpsych.2021.101410, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0010028521000335","DOI":"10.1016\/j.cogpsych.2021.101410"},{"key":"9_CR4","doi-asserted-by":"publisher","unstructured":"Cockburn, A., Gutwin, C., Scarr, J., Malacria, S.: Supporting novice to expert transitions in user interfaces. ACM Comput. Surv. 47(2), 1\u201336 (2015). https:\/\/doi.org\/10.1145\/2659796, https:\/\/dl.acm.org\/doi\/10.1145\/2659796","DOI":"10.1145\/2659796"},{"key":"9_CR5","doi-asserted-by":"publisher","unstructured":"Domeshek, E., Ramachandran, S., Jensen, R., Ludwig, J., Ong, J., Stottler, D.: Lessons from building diverse adaptive instructional systems (AIS). In: Sottilare, R.A., Schwarz, J. (eds.) Adaptive Instructional Systems. HCII 2019. LNCS, vol. 11597, pp. 62\u201375. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-22341-0, http:\/\/link.springer.com\/10.1007\/978-3-030-22341-0","DOI":"10.1007\/978-3-030-22341-0"},{"key":"9_CR6","unstructured":"Emond, B.: WN-LEXICAL: an ACT-R module built from the WordNet lexical database. In: Seventh International Conference on Cognitive Modeling, pp. 359\u2013360. Trieste, Italy (2006)"},{"key":"9_CR7","doi-asserted-by":"publisher","unstructured":"Emond, B., Comeau, G.: Cognitive modelling of early music reading skill acquisition for piano: a comparison of the Middle-C and Intervallic methods. Cogn. Syst. Res. 24, 26\u201334 (2013). https:\/\/doi.org\/10.1016\/j.cogsys.2012.12.007, http:\/\/dx.doi.org\/10.1016\/j.cogsys.2012.12.007","DOI":"10.1016\/j.cogsys.2012.12.007"},{"key":"9_CR8","doi-asserted-by":"publisher","unstructured":"Emond, B., et al.: Development of AIS Using simulated learners, Bayesian networks and knowledge elicitation methods. In: Sottilare, R.A., Schwarz, J. (eds.) Adaptive Instructional Systems. HCII 2022. LNCS, vol. 13332, pp. 143\u2013158. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-05887-5_11","DOI":"10.1007\/978-3-031-05887-5_11"},{"key":"9_CR9","unstructured":"Emond, B., Vinson, N.G.: Modelling simple ship conning tasks. In: 15th Meeting of the International Conference on Cognitive Modelling, pp. 42\u201344. Coventry, UK (2017)"},{"key":"9_CR10","doi-asserted-by":"publisher","unstructured":"Emond, B., West, R.R.L.: Cyberpsychology: a human-interaction perspective based on cognitive modeling. Cyberpsychol. Behav. 6(5), 527\u2013536 (2003). https:\/\/doi.org\/10.1089\/109493103769710550","DOI":"10.1089\/109493103769710550"},{"key":"9_CR11","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"305","DOI":"10.1007\/978-3-540-24677-0_32","volume-title":"Innovations in Applied Artificial Intelligence","author":"B Emond","year":"2004","unstructured":"Emond, B., West, R.L.: Using cognitive modelling simulations for user interface design decisions. In: Orchard, B., Yang, C., Ali, M. (eds.) IEA\/AIE 2004. LNCS (LNAI), vol. 3029, pp. 305\u2013314. Springer, Heidelberg (2004). https:\/\/doi.org\/10.1007\/978-3-540-24677-0_32"},{"key":"9_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"458","DOI":"10.1007\/978-3-030-50788-6_34","volume-title":"Adaptive Instructional Systems","author":"A Essa","year":"2020","unstructured":"Essa, A., Mojarad, S.: Does time matter in learning? A computer simulation of Carroll\u2019s model of learning. In: Sottilare, R.A., Schwarz, J. (eds.) HCII 2020. LNCS, vol. 12214, pp. 458\u2013474. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-50788-6_34"},{"key":"9_CR13","unstructured":"Harpstead, E., MacLellan, C.J., Weitekamp, D., Koedinger, K.R.: The use simulated learners in adaptive education. In: AIAED-19: AI + Adaptive Education, pp. 1\u20133. Beijing, China (2019)"},{"key":"9_CR14","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1007\/978-3-319-93843-1_19","volume-title":"Artificial Intelligence in Education","author":"DEK Lelei","year":"2018","unstructured":"Lelei, D.E.K., McCalla, G.: How to use simulation in the design and evaluation of learning environments with self-directed longer-term learners. In: Penstein Ros\u00e9, C., et al. (eds.) AIED 2018. LNCS (LNAI), vol. 10947, pp. 253\u2013266. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-93843-1_19"},{"key":"9_CR15","doi-asserted-by":"publisher","unstructured":"MacLellan, C.J., Koedinger, K.R.: Domain-general tutor authoring with apprentice learner models. Int. J. Artif. Intell. Educ. (2020). https:\/\/doi.org\/10.1007\/s40593-020-00214-2, https:\/\/link.springer.com\/10.1007\/s40593-020-00214-2","DOI":"10.1007\/s40593-020-00214-2"},{"issue":"4","key":"9_CR16","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1109\/MIS.2013.116","volume":"28","author":"G McCalla","year":"2013","unstructured":"McCalla, G., Champaign, J.: Simulated learners. IEEE Intell. Syst. 28(4), 67\u201371 (2013). https:\/\/doi.org\/10.1109\/MIS.2013.116","journal-title":"IEEE Intell. Syst."},{"key":"9_CR17","doi-asserted-by":"publisher","unstructured":"McEneaney, J.E.: Simulation-based evaluation of learning sequences for instructional technologies. Instruct. Sci. 44(1), 87\u2013106 (2016). https:\/\/doi.org\/10.1007\/s11251-016-9369-x, http:\/\/link.springer.com\/10.1007\/s11251-016-9369-x","DOI":"10.1007\/s11251-016-9369-x"},{"key":"9_CR18","doi-asserted-by":"publisher","unstructured":"Ritter, F.E., Yeh, M.K.C., Yan, Y., Siu, K.C., Oleynikov, D.: Effects of varied surgical simulation training schedules on motor-skill acquisition. Surg. Innov. 27(1), 68\u201380 (2020). https:\/\/doi.org\/10.1177\/1553350619881591, http:\/\/journals.sagepub.com\/doi\/10.1177\/1553350619881591","DOI":"10.1177\/1553350619881591"},{"key":"9_CR19","doi-asserted-by":"publisher","unstructured":"Smith, J., Yazdanpanah, F., Thistle, R., Musharraf, M., Veitch, B.: Capturing expert knowledge to inform decision support technology for marine operations. J. Marine Sci. Eng. 8(9) (2020). https:\/\/doi.org\/10.3390\/JMSE8090689","DOI":"10.3390\/JMSE8090689"},{"key":"9_CR20","doi-asserted-by":"publisher","unstructured":"Spain, R., Rowe, J., Smith, A., Goldberg, B., Pokorny, R., Mott, B., Lester, J.: A reinforcement learning approach to adaptive remediation in online training. J. Defense Model. Simul. Appl. Methodol. Technol. (2021). https:\/\/doi.org\/10.1177\/15485129211028317, http:\/\/journals.sagepub.com\/doi\/10.1177\/15485129211028317","DOI":"10.1177\/15485129211028317"},{"key":"9_CR21","unstructured":"Thistle, R., Veitch, B.: An evidence-based method of training to targeted levels of performance. In: SNAME Maritime Convention 2019, SMC 2019 (2019)"},{"key":"9_CR22","doi-asserted-by":"publisher","unstructured":"Veitch, E., Molyneux, D., Smith, J., Veitch, B.: Investigating the influence of bridge officer experience on ice management effectiveness using a marine simulator experiment. J. Offshore Mech. Arctic Eng. 141(4) (2019). https:\/\/doi.org\/10.1115\/1.4041761, https:\/\/asmedigitalcollection.asme.org\/offshoremechanics\/article\/doi\/10.1115\/1.4041761\/475585\/Investigating-the-Influence-of-Bridge-Officer","DOI":"10.1115\/1.4041761"},{"key":"9_CR23","doi-asserted-by":"publisher","unstructured":"Walsh, M.M., et al.: Mechanisms underlying the spacing effect in learning: a comparison of three computational models. J. Exp. Psychol. Gen. 147(9), 1325\u20131348 (2018). https:\/\/doi.org\/10.1037\/xge0000416, http:\/\/doi.apa.org\/getdoi.cfm?doi=10.1037\/xge0000416","DOI":"10.1037\/xge0000416"},{"key":"9_CR24","doi-asserted-by":"publisher","unstructured":"Weitekamp, D., Harpstead, E., Koedinger, K.R.: An interaction design for machine teaching to develop AI tutors, pp. 1\u201311. Association for Computing Machinery, New York, NY, USA (2020). https:\/\/doi.org\/10.1145\/3313831.3376226","DOI":"10.1145\/3313831.3376226"},{"key":"9_CR25","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"586","DOI":"10.1007\/978-3-030-52237-7_47","volume-title":"Artificial Intelligence in Education","author":"D Weitekamp","year":"2020","unstructured":"Weitekamp, D., Ye, Z., Rachatasumrit, N., Harpstead, E., Koedinger, K.: Investigating differential error types between human and simulated learners. In: Bittencourt, I.I., Cukurova, M., Muldner, K., Luckin, R., Mill\u00e1n, E. (eds.) AIED 2020. LNCS (LNAI), vol. 12163, pp. 586\u2013597. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-52237-7_47"},{"key":"9_CR26","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1007\/978-3-319-60018-5_4","volume":"596","author":"R Wray","year":"2018","unstructured":"Wray, R., Stowers, K.: Interactions between learner assessment and content requirement: a verification approach. Adv. Intell. Syst. Comput. 596, 36\u201345 (2018). https:\/\/doi.org\/10.1007\/978-3-319-60018-5_4","journal-title":"Adv. Intell. Syst. Comput."},{"key":"9_CR27","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"644","DOI":"10.1007\/978-3-030-22419-6_46","volume-title":"Augmented Cognition","author":"RE Wray","year":"2019","unstructured":"Wray, R.E.: Enhancing simulated students with models of self-regulated learning. In: Schmorrow, D.D., Fidopiastis, C.M. (eds.) HCII 2019. LNCS (LNAI), vol. 11580, pp. 644\u2013654. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-22419-6_46"}],"container-title":["Lecture Notes in Computer Science","Adaptive Instructional Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-34735-1_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,8]],"date-time":"2023-07-08T23:23:27Z","timestamp":1688858607000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-34735-1_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031347344","9783031347351"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-34735-1_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"9 July 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HCII","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Human-Computer Interaction","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Copenhagen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Denmark","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":"23 July 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 July 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hcii2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2023.hci.international\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"7472","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":"1578","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":"396","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":"21% - 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":"2","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)"}}]}}