{"id":"https://openalex.org/W5590877","doi":null,"title":"On the Faithfulness of Simulated Student Performance Data.","display_name":"On the Faithfulness of Simulated Student Performance Data.","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W5590877","mag":"5590877"},"language":"en","primary_location":{"id":"pmh:oai:publications.polymtl.ca:18410","doi":null,"is_oa":true,"landing_page_url":"https://publications.polymtl.ca/18410/","pdf_url":"https://educationaldatamining.org/EDM2010/uploads/proc/2010%20Proceedings%20Preface,%20TOC.pdf","source":{"id":"https://openalex.org/S4306401013","display_name":"PolyPublie (\u00c9cole Polytechnique de Montr\u00e9al)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I45683168","host_organization_name":"Polytechnique Montr\u00e9al","host_organization_lineage":["https://openalex.org/I45683168"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Desmarais, M. C., & Pelczer, I. (2010, June). On the Faithfulness of Simulated Student Performance Data [Paper]. 3rd International Conference on Educational Data Mining (EDM 2010), Pittsburgh, PA, USA.","raw_type":"http://purl.org/coar/resource_type/c_5794"},"volume":null,"type":"conference-paper","indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://educationaldatamining.org/EDM2010/uploads/proc/2010%20Proceedings%20Preface,%20TOC.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005514400","display_name":"Michel C. Desmarais","orcid":"https://orcid.org/0000-0002-2990-1078","observed_orcids":["https://orcid.org/0000-0002-2990-1078"]},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Michel C. Desmarais","raw_affiliation_strings":["Ecole Polytechnique de Montr\u00e9al,"],"raw_orcid":"https://orcid.org/0000-0002-2990-1078","affiliations":[{"raw_affiliation_string":"Ecole Polytechnique de Montr\u00e9al,","institution_ids":["https://openalex.org/I45683168"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021025225","display_name":"Ildik\u00f3 Pelczer","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ildik\u00f3 Pelczer","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2894,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.7838524,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"21","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.8184000253677368,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.8184000253677368,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.15530000627040863,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10467","display_name":"Psychometric Methodologies and Testing","score":0.005499999970197678,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/data-fidelity","display_name":"data fidelity","score":0.6240000128746033},{"id":"https://openalex.org/keywords/skill-assessment","display_name":"skill assessment","score":0.7440000176429749},{"id":"https://openalex.org/keywords/item-response-theory","display_name":"item response theory","score":0.8960000276565552},{"id":"https://openalex.org/keywords/latent-trait-models","display_name":"latent trait models","score":0.9190000295639038},{"id":"https://openalex.org/keywords/model-validation","display_name":"model validation","score":0.7910000085830688},{"id":"https://openalex.org/keywords/skill-prediction","display_name":"skill prediction","score":0.4740000069141388}],"concepts":[{"id":"https://openalex.org/C2781162219","wikidata":"https://www.wikidata.org/wiki/Q26250693","display_name":"Replicate","level":2,"score":0.7463527917861938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6817004680633545},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5971567034721375},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5619412660598755},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5140577554702759},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4966140389442444},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.4786704480648041},{"id":"https://openalex.org/C55037315","wikidata":"https://www.wikidata.org/wiki/Q5421151","display_name":"Experimental data","level":2,"score":0.4574403762817383},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.416225790977478},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4154939651489258},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37755638360977173},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25041013956069946},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13654112815856934},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:publications.polymtl.ca:18410","doi":null,"is_oa":true,"landing_page_url":"https://publications.polymtl.ca/18410/","pdf_url":"https://educationaldatamining.org/EDM2010/uploads/proc/2010%20Proceedings%20Preface,%20TOC.pdf","source":{"id":"https://openalex.org/S4306401013","display_name":"PolyPublie (\u00c9cole Polytechnique de Montr\u00e9al)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I45683168","host_organization_name":"Polytechnique Montr\u00e9al","host_organization_lineage":["https://openalex.org/I45683168"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Desmarais, M. C., & Pelczer, I. (2010, June). On the Faithfulness of Simulated Student Performance Data [Paper]. 3rd International Conference on Educational Data Mining (EDM 2010), Pittsburgh, PA, USA.","raw_type":"http://purl.org/coar/resource_type/c_5794"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.174.6126","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.174.6126","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://educationaldatamining.org/EDM2010/uploads/proc/edm2010_submission_56.pdf","raw_type":"text"},{"id":"mag:5590877","doi":null,"is_oa":false,"landing_page_url":"http://educationaldatamining.org/EDM2010/uploads/proc/edm2010_submission_56.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306418235","display_name":"Educational Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Educational Data Mining","raw_type":null}],"best_oa_location":{"id":"pmh:oai:publications.polymtl.ca:18410","doi":null,"is_oa":true,"landing_page_url":"https://publications.polymtl.ca/18410/","pdf_url":"https://educationaldatamining.org/EDM2010/uploads/proc/2010%20Proceedings%20Preface,%20TOC.pdf","source":{"id":"https://openalex.org/S4306401013","display_name":"PolyPublie (\u00c9cole Polytechnique de Montr\u00e9al)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I45683168","host_organization_name":"Polytechnique Montr\u00e9al","host_organization_lineage":["https://openalex.org/I45683168"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Desmarais, M. C., & Pelczer, I. (2010, June). On the Faithfulness of Simulated Student Performance Data [Paper]. 3rd International Conference on Educational Data Mining (EDM 2010), Pittsburgh, PA, USA.","raw_type":"http://purl.org/coar/resource_type/c_5794"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality education","score":0.9235000014305115}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W5590877.pdf","grobid_xml":"https://content.openalex.org/works/W5590877.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W1528202753","https://openalex.org/W1968455934","https://openalex.org/W2039625536","https://openalex.org/W2110515480","https://openalex.org/W2129187472","https://openalex.org/W2146406076","https://openalex.org/W2148415528","https://openalex.org/W2163566104","https://openalex.org/W2182632805","https://openalex.org/W2185371065"],"related_works":["https://openalex.org/W2466656563","https://openalex.org/W7222202101","https://openalex.org/W1985040287","https://openalex.org/W335743615","https://openalex.org/W2607267352","https://openalex.org/W7097552706","https://openalex.org/W7100573461","https://openalex.org/W17557535","https://openalex.org/W2004360025","https://openalex.org/W2105317523"],"abstract_inverted_index":{"Abstract.":[0],"The":[1,39,121],"validation":[2],"of":[3,41,62,74,93,123,162],"models":[4,33],"for":[5,65,84,117],"skills":[6,17,31,53],"assessment":[7],"is":[8,25,109,133],"often":[9],"conducted":[10],"by":[11,49,69],"using":[12],"simulated":[13,67,82,107],"students":[14],"because":[15],"their":[16],"mastery":[18],"can":[19,45,155],"be":[20,47],"predefined.":[21],"Student":[22],"performance":[23,73,103,141],"data":[24,68,83,96,108,115],"generated":[26],"according":[27],"to":[28,90,112,138,158],"the":[29,51,55,60,71,86,94,106,113,128,160],"predefined":[30,52],"and":[32,143,151],"are":[34,88],"trained":[35],"over":[36,79],"this":[37],"data.":[38,164],"accuracy":[40],"model":[42,78,131],"skill":[43],"predictions":[44],"thereafter":[46],"verified":[48],"comparing":[50,70],"with":[54],"predicted":[56],"ones.":[57],"We":[58],"investigate":[59],"faithfulness":[61],"different":[63],"methods":[64,146],"generating":[66],"predictive":[72],"a":[75,118,134],"Bayesian":[76],"student":[77,140],"real":[80,95,114,163],"vs.":[81],"which":[85],"parameters":[87],"set":[89],"reflect":[91,159],"those":[92],"as":[97,99],"closely":[98],"possible.":[100],"A":[101],"similar":[102],"suggests":[104],"that":[105,127,144,147],"more":[110],"faithful":[111],"than":[116],"dissimilar":[119],"performace.":[120],"results":[122],"our":[124],"simulations":[125],"show":[126],"latent":[129],"trait":[130],"(IRT)":[132],"relatively":[135],"good":[136],"candidate":[137],"simulate":[139],"data,":[142],"simple":[145],"solely":[148],"replicate":[149],"mean":[150],"standard":[152],"deviation":[153],"distributions":[154],"fail":[156],"drastically":[157],"characteristics":[161],"1":[165]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-11-03T10:50:19.383937","created_date":"2016-06-24T00:00:00"}
