{"id":"https://openalex.org/W3136580983","doi":"https://doi.org/10.1109/bigdata50022.2020.9378463","title":"A Deep Reinforcement Learning Framework for Instructional Sequencing","display_name":"A Deep Reinforcement Learning Framework for Instructional Sequencing","publication_year":2020,"publication_date":"2020-12-10","ids":{"openalex":"https://openalex.org/W3136580983","doi":"https://doi.org/10.1109/bigdata50022.2020.9378463","mag":"3136580983"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata50022.2020.9378463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9378463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","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/A5081290331","display_name":"Yanjun Pu","orcid":"https://orcid.org/0000-0001-6154-1247"},"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":"Yanjun Pu","raw_affiliation_strings":["State Key Laboratory of Software Development Environment, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Software Development Environment, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064833481","display_name":"Caimeng Wang","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":"Caimeng Wang","raw_affiliation_strings":["State Key Laboratory of Software Development Environment, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Software Development Environment, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114911190","display_name":"Wenjun Wu","orcid":"https://orcid.org/0000-0003-2998-8828"},"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":"Wenjun Wu","raw_affiliation_strings":["State Key Laboratory of Software Development Environment, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Software Development Environment, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081290331"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.5104,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7637539,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"5201","last_page":"5208"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9977999925613403,"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":0.9977999925613403,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9959999918937683,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9825999736785889,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8838996887207031},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7428609728813171},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.6450076699256897},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.5613352656364441},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5474269986152649},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4738750159740448},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45683807134628296},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36063021421432495},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09161069989204407}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8838996887207031},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7428609728813171},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.6450076699256897},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.5613352656364441},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5474269986152649},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4738750159740448},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45683807134628296},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36063021421432495},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09161069989204407},{"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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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:10.1109/bigdata50022.2020.9378463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9378463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321125","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56"},{"id":"https://openalex.org/F4320326978","display_name":"State Key Laboratory of Software Development Environment","ror":null},{"id":"https://openalex.org/F4320329053","display_name":"Beijing Advanced Innovation Center for Big Data and Brain Computing","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1514405275","https://openalex.org/W2145339207","https://openalex.org/W2155968351","https://openalex.org/W2173564293","https://openalex.org/W2201581102","https://openalex.org/W2241658675","https://openalex.org/W2251007294","https://openalex.org/W2469544569","https://openalex.org/W2514897959","https://openalex.org/W2560888500","https://openalex.org/W2572071818","https://openalex.org/W2605950514","https://openalex.org/W2736601468","https://openalex.org/W2739757962","https://openalex.org/W2746553466","https://openalex.org/W2761873684","https://openalex.org/W2805159187","https://openalex.org/W2805797235","https://openalex.org/W2857779301","https://openalex.org/W2951799221","https://openalex.org/W2963477884","https://openalex.org/W2964043796","https://openalex.org/W2964291307","https://openalex.org/W2964952717","https://openalex.org/W2966712981","https://openalex.org/W2983956398","https://openalex.org/W6685444567","https://openalex.org/W6687681856","https://openalex.org/W6689866808","https://openalex.org/W6691215711","https://openalex.org/W6692846177","https://openalex.org/W6741002519","https://openalex.org/W6744838376","https://openalex.org/W6752042869","https://openalex.org/W6766450508","https://openalex.org/W6766737981"],"related_works":["https://openalex.org/W2920061524","https://openalex.org/W4310083477","https://openalex.org/W1977959518","https://openalex.org/W2038908348","https://openalex.org/W2107890255","https://openalex.org/W2106552856","https://openalex.org/W1987513656","https://openalex.org/W2072376847","https://openalex.org/W2089013912","https://openalex.org/W2145821588"],"abstract_inverted_index":{"Reinforcement":[0,115],"Learning,":[1],"a":[2,79],"common":[3],"framework":[4,16,84],"for":[5,85,126],"AI":[6],"planing":[7],"or":[8,30,64],"decision":[9],"making,":[10],"is":[11,53,106,118],"regarded":[12],"as":[13,61],"an":[14],"effective":[15],"fro":[17],"planning":[18],"students'":[19],"learning":[20,83,94,111],"sequences.":[21],"However,":[22],"previous":[23,51],"research":[24,52],"efforts":[25],"rely":[26],"on":[27,102],"simulation":[28,130],"data":[29],"students":[31,44,91,110,127],"and":[32,72,99,113,131],"few":[33],"of":[34,39,68,138],"them":[35],"have":[36],"verified":[37],"effectiveness":[38,137],"their":[40],"algorithms":[41],"with":[42,92],"teaching":[43],"in":[45,57,96,133],"real":[46,58,65],"educational":[47],"environments.":[48],"Also,":[49],"the":[50,69,136],"hard":[54],"to":[55,108,120],"using":[56],"task":[59],"such":[60],"online":[62],"course":[63],"classroom":[66],"because":[67],"strong":[70],"assumptions":[71],"restrictions.":[73],"In":[74],"this":[75],"paper,":[76],"We":[77],"propose":[78],"new":[80],"deep":[81],"reinforcement":[82],"instructional":[86],"sequencing":[87],"that":[88],"can":[89],"recommend":[90],"personalized":[93],"exercises":[95],"both":[97],"MOOCs":[98],"classrooms.":[100],"Based":[101],"our":[103,139],"ATC":[104],"model,":[105],"used":[107,119],"trace":[109],"process":[112],"Deep":[114],"Learning":[116],"Agent":[117],"induce":[121],"efficient":[122],"l":[123],"earning":[124],"sequences":[125],"adaptively.":[128],"Both":[129],"experiment":[132],"classrooms":[134],"confirm":[135],"method.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}