{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T09:04:42Z","timestamp":1772010282021,"version":"3.50.1"},"reference-count":66,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T00:00:00Z","timestamp":1612137600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Brazilian National Research Council","award":["141089\/2016-4"],"award-info":[{"award-number":["141089\/2016-4"]}]},{"name":"Research Foundation of the State of Rio de Janeiro","award":["E26\/202.838\/2017-CNE"],"award-info":[{"award-number":["E26\/202.838\/2017-CNE"]}]},{"name":"Coordination of Improvement of Higher Education Personnel","award":["PROEX - 1201036"],"award-info":[{"award-number":["PROEX - 1201036"]}]},{"name":"Brazilian National Research Council","award":["306258\/2019-6"],"award-info":[{"award-number":["306258\/2019-6"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Learning Technol."],"published-print":{"date-parts":[[2021,2]]},"DOI":"10.1109\/tlt.2021.3056907","type":"journal-article","created":{"date-parts":[[2021,2,5]],"date-time":"2021-02-05T13:23:03Z","timestamp":1612531383000},"page":"42-54","source":"Crossref","is-referenced-by-count":5,"title":["Clustering Introductory Computer Science Exercises Using Topic Modeling Methods"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0965-6703","authenticated-orcid":false,"given":"Laura","family":"Oliveira Moraes","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8151-8909","authenticated-orcid":false,"given":"Carlos Eduardo","family":"Pedreira","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/1658377.1658381"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014087"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICALIP.2016.7846525"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3303772.3303813"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s10664-015-9402-8"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3209542.3209578"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-20161-5_34"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.chb.2016.10.012"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/2723576.2723613"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-30146-0_8"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1145\/1789934.1789935"},{"key":"ref62","first-page":"1959","article-title":"Sparse factor analysis for learning and content analytics","volume":"15","author":"lan","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1145\/2538862.2538966"},{"key":"ref63","first-page":"288","article-title":"Reading tea leaves: How humans interpret topic models","author":"chang","year":"2009","journal-title":"Proc 23rd Annu Conf Neural Inf Process Syst"},{"key":"ref28","first-page":"192","article-title":"Evaluation of a data-driven feedback algorithm for open-ended programming","author":"price","year":"2017","journal-title":"Proc 10th Int Conf Educ Data Mining"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1007\/s10664-016-9473-1"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.12.108"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/W14-3110"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177730491"},{"key":"ref29","first-page":"334","article-title":"Domain-independent proximity measures in intelligent tutoring systems","author":"mokbel","year":"2013","journal-title":"Proc 6th Int Conf Data Mining"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/44565"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/2207243.2207248"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.tele.2018.04.015"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.tele.2019.01.007"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/1306039"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICALT.2008.60"},{"key":"ref23","first-page":"129","article-title":"Spectral clustering in educational data mining","author":"trivedi","year":"2011","journal-title":"Proc 4th Int Conf Educ Data Mining"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/2566486.2568023"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-39112-5"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1587\/transfun.E92.A.708"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2015.02.055"},{"key":"ref59","first-page":"165","article-title":"Problem distributions in a CS1 course","volume":"52","author":"robins","year":"2006","journal-title":"Proc 8th Australas Conf Comput Educ"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1145\/1151588.1151593"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1145\/2534860"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/E14-1056"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020480"},{"key":"ref54","first-page":"612","article-title":"Topic model diagnostics: Assessing domain relevance via topical alignment","author":"chuang","year":"2013","journal-title":"Proc 30th Int Conf Mach Learn"},{"key":"ref53","first-page":"281","article-title":"Random search for hyperparameter optimization","volume":"13","author":"bergstra","year":"2012","journal-title":"J Mach Learn Res"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2018.08.011"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/2684822.2685324"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/237661.237715"},{"key":"ref40","first-page":"2855","article-title":"Tag-weighted topic model for mining semi-structured documents","author":"li","year":"2013","journal-title":"Proc 23rd Int Joint Conf Artif Intell"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2016911.2016920"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/1953163.1953340"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICICS.2003.1292768"},{"key":"ref15","first-page":"56","article-title":"Toward the automatic labeling of course questions for ensuring their alignment with learning outcomes","author":"supraja","year":"2017","journal-title":"Proc 10th Int Conf Educ Data Mining"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93846-2_20"},{"key":"ref17","first-page":"394","article-title":"Towards automatic classification of learning objects: Reducing the number of used features","author":"gonz\u00e1lez","year":"2017","journal-title":"Proc 10th Int Conf Educ Data Mining"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.24059\/olj.v20i2.790"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2654247"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.4324\/9780203936399"},{"key":"ref3","first-page":"993","article-title":"Latent Dirichlet allocation","volume":"3","author":"blei","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1982.1056489"},{"key":"ref5","first-page":"289","article-title":"Probabilistic latent semantic analysis","author":"hofmann","year":"1999","journal-title":"Proc Conf Uncertainty of Artificial Intelligence"},{"key":"ref8","first-page":"262","article-title":"Optimizing semantic coherence in topic models","author":"mimno","year":"2011","journal-title":"Proc Conf Empirical Methods Natural Lang Process"},{"key":"ref7","first-page":"100","article-title":"Automatic evaluation of topic coherence","author":"newman","year":"2010","journal-title":"Proc Annu Conf North Amer Chapter Assoc Comput Linguistics"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/2396761.2398615"},{"key":"ref9","first-page":"13","article-title":"Evaluating topic coherence using distributional semantics","author":"aletras","year":"2013","journal-title":"Proc 10th Int Conf Comput Semantics"},{"key":"ref46","article-title":"W3Resource","year":"2018"},{"key":"ref45","article-title":"Python programming exercises","author":"hu","year":"2018"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2010.08.066"},{"key":"ref47","author":"salton","year":"1986","journal-title":"Introduction to Modern Information Retrieval"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA.2017.61"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/1718487.1718520"},{"key":"ref44","article-title":"Python school","author":"sentance","year":"2016"},{"key":"ref43","article-title":"Practice python","author":"pratusevich","year":"2017"}],"container-title":["IEEE Transactions on Learning Technologies"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4620076\/9382312\/09347808.pdf?arnumber=9347808","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:52:45Z","timestamp":1652194365000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9347808\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2]]},"references-count":66,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tlt.2021.3056907","relation":{},"ISSN":["1939-1382","2372-0050"],"issn-type":[{"value":"1939-1382","type":"electronic"},{"value":"2372-0050","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,2]]}}}