{"id":"https://openalex.org/W2775537264","doi":"https://doi.org/10.1109/fie.2017.8190730","title":"Supporting quality teaching using educational data mining based on OpenEdX platform","display_name":"Supporting quality teaching using educational data mining based on OpenEdX platform","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2775537264","doi":"https://doi.org/10.1109/fie.2017.8190730","mag":"2775537264"},"language":"en","primary_location":{"id":"doi:10.1109/fie.2017.8190730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fie.2017.8190730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Frontiers in Education Conference (FIE)","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/A5101545018","display_name":"Han Wan","orcid":"https://orcid.org/0000-0002-9238-451X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wan Han","raw_affiliation_strings":["Honors College of Beihang University, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Honors College of Beihang University, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107640037","display_name":"Ding Jun","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ding Jun","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Gao Xiaopeng","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gao Xiaopeng","raw_affiliation_strings":["Honors College of Beihang University, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Honors College of Beihang University, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045078202","display_name":"Kangxu Liu","orcid":"https://orcid.org/0000-0003-1273-1778"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Kangxu","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101545018"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":1.1753,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.84867098,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9997000098228455,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9380000233650208,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/grading","display_name":"Grading (engineering)","score":0.7258113026618958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7190437316894531},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5222000479698181},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5017406940460205},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4740222096443176},{"id":"https://openalex.org/keywords/online-course","display_name":"Online course","score":0.4732566177845001},{"id":"https://openalex.org/keywords/online-learning","display_name":"Online learning","score":0.42348992824554443},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42242786288261414},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.32849326729774475},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.24780750274658203},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11476284265518188},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10010549426078796}],"concepts":[{"id":"https://openalex.org/C2777286243","wikidata":"https://www.wikidata.org/wiki/Q5591926","display_name":"Grading (engineering)","level":2,"score":0.7258113026618958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7190437316894531},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5222000479698181},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5017406940460205},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4740222096443176},{"id":"https://openalex.org/C2986081426","wikidata":"https://www.wikidata.org/wiki/Q1068473","display_name":"Online course","level":2,"score":0.4732566177845001},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.42348992824554443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42242786288261414},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.32849326729774475},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.24780750274658203},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11476284265518188},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10010549426078796},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fie.2017.8190730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fie.2017.8190730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Frontiers in Education Conference (FIE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1576953604","https://openalex.org/W1792679987","https://openalex.org/W2086145942","https://openalex.org/W2110462947","https://openalex.org/W2227197167","https://openalex.org/W2395088234","https://openalex.org/W2531767846","https://openalex.org/W2558215449","https://openalex.org/W2558576199","https://openalex.org/W2575195813","https://openalex.org/W2577299708","https://openalex.org/W3204892469","https://openalex.org/W6712324605","https://openalex.org/W6728802812","https://openalex.org/W6730220541","https://openalex.org/W6732225318","https://openalex.org/W6732494843"],"related_works":["https://openalex.org/W2091648021","https://openalex.org/W4230431923","https://openalex.org/W2952622176","https://openalex.org/W1532638840","https://openalex.org/W2317849288","https://openalex.org/W4252800746","https://openalex.org/W1964092863","https://openalex.org/W1594490194","https://openalex.org/W2617103710","https://openalex.org/W4390476759"],"abstract_inverted_index":{"Our":[0,153],"lab-based":[1],"small":[2],"private":[3],"online":[4,8,170],"course":[5,180],"(SPOC)":[6],"combined":[7],"resources":[9],"and":[10,16,37,60,82,101,130,172],"technology":[11],"with":[12,24],"engagement":[13],"between":[14],"faculty":[15],"students":[17,54],"based":[18],"on":[19,75],"OpenEdX":[20],"platform.":[21],"It":[22],"worked":[23],"an":[25,134],"auto-grading":[26],"submission":[27],"system":[28,49],"which":[29],"could":[30,173],"reduce":[31],"the":[32,48,61,102,142,145,151,178],"instructors'":[33],"burden":[34],"of":[35,147],"evaluation":[36,154],"provide":[38,67],"better":[39],"learners'":[40],"experience.":[41],"Different":[42],"study":[43,83,106],"behaviors":[44],"were":[45],"observed":[46],"from":[47,78,123],"tracking":[50],"logs.":[51],"Identifying":[52],"at-risk":[53],"becomes":[55],"timely":[56],"important":[57,113],"in":[58,115,127,144,161,169,193],"SPOC,":[59],"early":[62],"prediction":[63],"can":[64],"help":[65],"instructors":[66],"proper":[68],"supports.":[69],"In":[70,177],"this":[71],"paper,":[72],"we":[73,182],"focused":[74],"extracting":[76],"features":[77,109,121],"students'":[79,92,117,166],"learning":[80,88,167],"activities":[81],"habits":[84,107],"for":[85,190],"building":[86],"machine":[87],"models":[89],"to":[90,97,187],"predict":[91],"performance.":[93,118,152],"We":[94],"conducted":[95],"experiments":[96],"compare":[98],"feature":[99],"importance,":[100],"results":[103],"showed":[104,155],"that":[105,156],"related":[108],"had":[110],"played":[111],"more":[112],"role":[114],"predicting":[116,150],"34":[119],"predictive":[120],"extracted":[122],"Computer":[124],"Structure":[125],"Course":[126],"Fall":[128],"2016,":[129],"our":[131],"model":[132],"achieved":[133],"ROC":[135],"(Receiver":[136],"Operating":[137],"Characteristic":[138],"Curve)-AUC":[139],"(area":[140],"under":[141],"curve)":[143],"range":[146],"0.927-0.984":[148],"when":[149,164],"data":[157],"mining":[158],"is":[159],"useful":[160],"education":[162],"especially":[163],"examining":[165],"behavior":[168],"environment,":[171],"support":[174],"quality":[175],"teaching.":[176],"next":[179],"iteration,":[181],"will":[183],"do":[184],"A/B":[185],"testing":[186],"determine":[188],"efficacy":[189],"subsequent":[191],"interventions":[192],"a":[194],"SPOC.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}