{"id":"https://openalex.org/W2341802753","doi":"https://doi.org/10.1145/2876034.2893416","title":"Structured Knowledge Tracing Models for Student Assessment on Coursera","display_name":"Structured Knowledge Tracing Models for Student Assessment on Coursera","publication_year":2016,"publication_date":"2016-04-14","ids":{"openalex":"https://openalex.org/W2341802753","doi":"https://doi.org/10.1145/2876034.2893416","mag":"2341802753"},"language":"en","primary_location":{"id":"doi:10.1145/2876034.2893416","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2876034.2893416","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Third (2016) ACM Conference on Learning @ Scale","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100446580","display_name":"Zhuo Wang","orcid":"https://orcid.org/0000-0002-4210-0427"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhuo Wang","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080354477","display_name":"Jile Zhu","orcid":"https://orcid.org/0009-0001-6035-5896"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jile Zhu","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101585451","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0002-1075-7694"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Li","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085608858","display_name":"Zhiting Hu","orcid":"https://orcid.org/0000-0002-6239-5031"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiting Hu","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100447221","display_name":"Ming Zhang","orcid":"https://orcid.org/0000-0001-7111-4345"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Zhang","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100446580"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":5.1417,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.95647762,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"209","last_page":"212"},"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":0.9995999932289124,"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":0.9995999932289124,"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":0.9979000091552734,"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/T10028","display_name":"Topic Modeling","score":0.9757000207901001,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7804433107376099},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.7360583543777466},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.7213174104690552},{"id":"https://openalex.org/keywords/massive-open-online-course","display_name":"Massive open online course","score":0.5220589637756348},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4572649896144867},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4272688329219818},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3490467667579651},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3449440598487854},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.30753105878829956}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7804433107376099},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.7360583543777466},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.7213174104690552},{"id":"https://openalex.org/C2777808570","wikidata":"https://www.wikidata.org/wiki/Q967853","display_name":"Massive open online course","level":2,"score":0.5220589637756348},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4572649896144867},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4272688329219818},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3490467667579651},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3449440598487854},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.30753105878829956},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2876034.2893416","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2876034.2893416","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Third (2016) ACM Conference on Learning @ Scale","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8199999928474426,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G2536092168","display_name":null,"funder_award_id":"61272343, 61472006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2015040676","https://openalex.org/W2183887294","https://openalex.org/W2467346710","https://openalex.org/W2770392263","https://openalex.org/W4253533180"],"related_works":["https://openalex.org/W3171822798","https://openalex.org/W2888673113","https://openalex.org/W2115308562","https://openalex.org/W2789571330","https://openalex.org/W4299652732","https://openalex.org/W2963744171","https://openalex.org/W2133304975","https://openalex.org/W2362901774","https://openalex.org/W4248091533","https://openalex.org/W1515178292"],"abstract_inverted_index":{"Massive":[0],"Open":[1],"Online":[2],"Courses":[3],"(MOOCs)":[4],"provide":[5,108],"an":[6],"effective":[7],"learning":[8,28],"platform":[9],"with":[10],"various":[11],"high-quality":[12],"educational":[13],"materials":[14],"accessible":[15],"to":[16,43,76,91,118],"learners":[17],"from":[18],"all":[19],"over":[20,135],"the":[21,50,61,79,82,86,93,98,103,120],"world.":[22],"However,":[23],"current":[24],"MOOCs":[25],"lack":[26],"personalized":[27],"guidance":[29],"and":[30,64,81,113,116],"intelligent":[31],"assessment":[32],"for":[33],"individuals.":[34],"Though":[35],"a":[36,71,109,126],"few":[37],"recent":[38],"attempts":[39],"have":[40,58],"been":[41],"made":[42],"trace":[44],"students'":[45,142],"knowledge":[46,67,87],"states":[47,88],"by":[48],"adapting":[49],"popular":[51],"Bayesian":[52],"Knowledge":[53],"Tracing":[54],"(BKT)":[55],"model,":[56,112],"they":[57],"largely":[59],"ignored":[60],"rich":[62],"structures":[63],"correlations":[65],"among":[66],"components":[68],"(KCs)":[69],"within":[70],"course.":[72],"This":[73],"paper":[74],"proposes":[75],"model":[77],"both":[78],"hierarchical":[80],"temporal":[83],"properties":[84],"of":[85],"in":[89],"order":[90],"improve":[92],"modeling":[94],"accuracy.":[95],"Based":[96],"on":[97,102,125,140],"content":[99],"organization":[100],"characteristics":[101],"Coursera":[104,127],"MOOC":[105],"platform,":[106],"we":[107],"well-defined":[110],"KC":[111],"develop":[114],"Multi-Grained-BKT":[115],"Historical-BKT":[117],"capture":[119],"above":[121],"features":[122],"effectively.":[123],"Experiments":[124],"course":[128],"dataset":[129],"show":[130],"our":[131],"approach":[132],"significantly":[133],"improves":[134],"previous":[136],"vanilla":[137],"BKT":[138],"models":[139],"predicting":[141],"quiz":[143],"performance.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}