{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T19:50:19Z","timestamp":1766087419299,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030232030"},{"type":"electronic","value":"9783030232047"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","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":[[2019]]},"DOI":"10.1007\/978-3-030-23204-7_5","type":"book-chapter","created":{"date-parts":[[2019,6,20]],"date-time":"2019-06-20T21:05:01Z","timestamp":1561064701000},"page":"48-58","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Item Ordering Biases in Educational Data"],"prefix":"10.1007","author":[{"given":"Jaroslav","family":"\u010cech\u00e1k","sequence":"first","affiliation":[]},{"given":"Radek","family":"Pel\u00e1nek","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,6,21]]},"reference":[{"key":"5_CR1","unstructured":"Aleven, V., McLaughlin, E.A., Glenn, R.A., Koedinger, K.R.: Instruction based on adaptive learning technologies. In: Handbook of Research on Learning and Instruction, Routledge (2016)"},{"issue":"19","key":"5_CR2","doi-asserted-by":"publisher","first-page":"1876","DOI":"10.1016\/j.tcs.2009.01.016","volume":"410","author":"JY Audibert","year":"2009","unstructured":"Audibert, J.Y., Munos, R., Szepesv\u00e1ri, C.: Exploration-exploitation tradeoff using variance estimates in multi-armed bandits. Theoret. Comput. Sci. 410(19), 1876\u20131902 (2009)","journal-title":"Theoret. Comput. Sci."},{"issue":"2","key":"5_CR3","first-page":"20","volume":"7","author":"B Clement","year":"2015","unstructured":"Clement, B., Roy, D., Oudeyer, P.-Y., Lopes, M.: Multi-armed bandits for intelligent tutoring systems. J. Educ. Data Min. 7(2), 20\u201348 (2015)","journal-title":"J. Educ. Data Min."},{"key":"5_CR4","unstructured":"Gonz\u00e1lez-Brenes, J., Huang, Y., Brusilovsky, P.: General features in knowledge tracing: applications to multiple subskills, temporal item response theory, and expert knowledge. In: Proceedings of Educational Data Mining, pp. 84\u201391 (2014)"},{"issue":"3","key":"5_CR5","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1080\/10618600.2017.1305277","volume":"26","author":"H Hofmann","year":"2017","unstructured":"Hofmann, H., Wickham, H., Kafadar, K.: Letter-value plots: boxplots for large data. J. Comput. Graph. Stat. 26(3), 469\u2013477 (2017)","journal-title":"J. Comput. Graph. Stat."},{"key":"5_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1007\/978-3-642-30950-2_49","volume-title":"Intelligent Tutoring Systems","author":"P Jaru\u0161ek","year":"2012","unstructured":"Jaru\u0161ek, P., Pel\u00e1nek, R.: Analysis of a simple model of problem solving times. In: Cerri, S.A., Clancey, W.J., Papadourakis, G., Panourgia, K. (eds.) ITS 2012. LNCS, vol. 7315, pp. 379\u2013388. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-30950-2_49"},{"key":"5_CR7","unstructured":"K\u00e4ser, T., Koedinger, K.R., Gross, M.: Different parameters - same prediction: an analysis of learning curves. In: Proceedings of Educational Data Mining, pp. 52\u201359 (2014)"},{"key":"5_CR8","unstructured":"Lan, A.S., Baraniuk, R.G.: A contextual bandits framework for personalized learning action selection. In: Proceedings of Educational Data Mining, pp. 424\u2013429 (2016)"},{"key":"5_CR9","unstructured":"Liu, Y.E., Mandel, T., Brunskill, E., Popovic, Z.: Trading off scientific knowledge and user learning with multi-armed bandits. In: Proceedings of Educational Data Mining, pp. 161\u2013168 (2014)"},{"key":"5_CR10","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"473","DOI":"10.1007\/978-3-642-39112-5_48","volume-title":"Artificial Intelligence in Education","author":"RC Murray","year":"2013","unstructured":"Murray, R.C., et al.: Revealing the learning in learning curves. In: Lane, H.C., Yacef, K., Mostow, J., Pavlik, P. (eds.) AIED 2013. LNCS (LNAI), vol. 7926, pp. 473\u2013482. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-39112-5_48"},{"key":"5_CR11","unstructured":"Nixon, T., Fancsali, S., Ritter, S.: The complex dynamics of aggregate learning curves. In: Proceedings of Educational Data Mining (2013)"},{"key":"5_CR12","doi-asserted-by":"crossref","unstructured":"Papou\u0161ek, J., Stanislav, V., Pel\u00e1nek, R.: Evaluation of an adaptive practice system for learning geography facts. In: Gasevic, D., Lynch, G., Dawson, S., Drachsler, H., Ros\u00e9, C.P. (eds.) Proceedings of Learning Analytics & Knowledge, pp. 40\u201347. ACM (2016)","DOI":"10.1145\/2883851.2883884"},{"issue":"3","key":"5_CR13","doi-asserted-by":"publisher","first-page":"346","DOI":"10.1007\/s40593-015-0039-y","volume":"25","author":"PI Pavlik","year":"2015","unstructured":"Pavlik, P.I., Yudelson, M., Koedinger, K.R.: A measurement model of microgenetic transfer for improving instructional outcomes. Int. J. Artif. Intell. Educ. 25(3), 346\u2013379 (2015)","journal-title":"Int. J. Artif. Intell. Educ."},{"issue":"3","key":"5_CR14","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1007\/s11257-017-9193-2","volume":"27","author":"R Pel\u00e1nek","year":"2017","unstructured":"Pel\u00e1nek, R.: Bayesian knowledge tracing, logistic models, and beyond: an overview of learner modeling techniques. User Model. User-Adap. Inter. 27(3), 313\u2013350 (2017)","journal-title":"User Model. User-Adap. Inter."},{"key":"5_CR15","doi-asserted-by":"crossref","unstructured":"Pel\u00e1nek, R.: The details matter: methodological nuances in the evaluationof student models. User Model. User-Adap. Inter. (2018)","DOI":"10.1007\/s11257-018-9204-y"},{"issue":"4","key":"5_CR16","doi-asserted-by":"publisher","first-page":"493","DOI":"10.1007\/s40593-015-0048-x","volume":"25","author":"R Pel\u00e1nek","year":"2015","unstructured":"Pel\u00e1nek, R., Jaru\u0161ek, P.: Student modeling based on problem solving times. Int. J. Artif. Intell. Educ. 25(4), 493\u2013519 (2015)","journal-title":"Int. J. Artif. Intell. Educ."}],"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\/978-3-030-23204-7_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T13:56:12Z","timestamp":1709819772000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-23204-7_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030232030","9783030232047"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-23204-7_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"21 June 2019","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":"Chicago, IL","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 June 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 June 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aied2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/caed-lab.com\/aied2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}