{"id":"https://openalex.org/W2518445232","doi":"https://doi.org/10.48550/arxiv.1608.04789","title":"Modelling Student Behavior using Granular Large Scale Action Data from a MOOC","display_name":"Modelling Student Behavior using Granular Large Scale Action Data from a MOOC","publication_year":2016,"publication_date":"2016-08-16","ids":{"openalex":"https://openalex.org/W2518445232","doi":"https://doi.org/10.48550/arxiv.1608.04789","mag":"2518445232"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:1608.04789","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1608.04789","pdf_url":"https://arxiv.org/pdf/1608.04789","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"parent_works":[],"lineage":["https://openalex.org/W2518445232"],"child_works_count":0,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1608.04789","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035076469","display_name":"Steven Tang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tang, Steven","raw_affiliation_strings":["UC Berkeley"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UC Berkeley","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047380888","display_name":"Joshua C. Peterson","orcid":"https://orcid.org/0000-0001-6713-1353","observed_orcids":["https://orcid.org/0000-0001-6713-1353"]},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peterson, Joshua C.","raw_affiliation_strings":["UC Berkeley"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UC Berkeley","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021273980","display_name":"Zachary A. Pardos","orcid":"https://orcid.org/0000-0002-6016-7051","observed_orcids":["https://orcid.org/0000-0002-6016-7051"]},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pardos, Zachary A.","raw_affiliation_strings":["UC Berkeley"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UC Berkeley","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":1.0,"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":1.0,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":9.999999747378752e-05,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/moocs","display_name":"MOOCs","score":0.8529999852180481},{"id":"https://openalex.org/keywords/sequential-data","display_name":"sequential data","score":0.5619999766349792},{"id":"https://openalex.org/keywords/n-gram-language-models","display_name":"n-gram language models","score":0.7129999995231628},{"id":"https://openalex.org/keywords/recurrent-neural-networks","display_name":"recurrent neural networks","score":1.0},{"id":"https://openalex.org/keywords/learning-recommendation","display_name":"learning recommendation","score":0.5210000276565552},{"id":"https://openalex.org/keywords/digital-learning-environments","display_name":"digital learning environments","score":0.5960000157356262}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7231074571609497},{"id":"https://openalex.org/C2777808570","wikidata":"https://www.wikidata.org/wiki/Q967853","display_name":"Massive open online course","level":2,"score":0.5615386366844177},{"id":"https://openalex.org/C96865113","wikidata":"https://www.wikidata.org/wiki/Q2946816","display_name":"Certificate","level":2,"score":0.5424668192863464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.539980947971344},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.524128258228302},{"id":"https://openalex.org/C2777206241","wikidata":"https://www.wikidata.org/wiki/Q194431","display_name":"Paragraph","level":2,"score":0.5051153302192688},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5034469962120056},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.4686042070388794},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4633275866508484},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4544920325279236},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4506087005138397},{"id":"https://openalex.org/C45504901","wikidata":"https://www.wikidata.org/wiki/Q935222","display_name":"Syllabus","level":2,"score":0.41537606716156006},{"id":"https://openalex.org/C74672266","wikidata":"https://www.wikidata.org/wiki/Q815859","display_name":"Language acquisition","level":2,"score":0.4126884937286377},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4093393087387085},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36474132537841797},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.29015910625457764},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2533429265022278},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1641629934310913},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10792037844657898},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.10382258892059326},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:1608.04789","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1608.04789","pdf_url":"https://arxiv.org/pdf/1608.04789","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.1608.04789","doi":"https://doi.org/10.48550/arxiv.1608.04789","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1608.04789","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1608.04789","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1608.04789","pdf_url":"https://arxiv.org/pdf/1608.04789","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Quality education","score":0.9235000014305115,"id":"https://metadata.un.org/sdg/4"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G2434251193","display_name":"BIGDATA: EAGER: Deep Learning in Higher Education Big Data to Explore Latent Student Archetypes and Knowledge Profiles","funder_award_id":"1547055","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2518445232.pdf","grobid_xml":"https://content.openalex.org/works/W2518445232.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W1591801644","https://openalex.org/W1689711448","https://openalex.org/W1971129545","https://openalex.org/W2006332834","https://openalex.org/W2064675550","https://openalex.org/W2121227244","https://openalex.org/W2131571251","https://openalex.org/W2143612262","https://openalex.org/W2339000510","https://openalex.org/W2964195932"],"related_works":["https://openalex.org/W2610677610","https://openalex.org/W2995799559","https://openalex.org/W2891873222","https://openalex.org/W2273136441","https://openalex.org/W3155754361","https://openalex.org/W6926319531","https://openalex.org/W4226275943","https://openalex.org/W2740197573","https://openalex.org/W2736203412","https://openalex.org/W2611285220"],"abstract_inverted_index":{"Digital":[0],"learning":[1,16,49,72,264],"environments":[2,265],"generate":[3],"a":[4,135,157,202,212,259],"precise":[5],"record":[6,54],"of":[7,27,55,77,129,159,172,225,269],"the":[8,31,52,75,101,105,109,138,164,186,198,221,226,239,253],"actions":[9],"learners":[10],"take":[11],"as":[12,113,137,145,178],"they":[13],"interact":[14,205],"with":[15,206,242,248],"materials":[17],"and":[18,44,83,99,132,140,244,261],"complete":[19],"exercises":[20],"towards":[21],"comprehension.":[22],"With":[23],"this":[24,116,123,148,235],"high":[25,267],"quantity":[26],"sequential":[28,66,270],"data":[29,67,271],"comes":[30],"potential":[32],"to":[33,38,93,122,176,180,210],"apply":[34],"time":[35],"series":[36],"models":[37],"learn":[39],"about":[40],"underlying":[41],"behavioral":[42],"patterns":[43],"trends":[45],"that":[46,185,201,218],"characterize":[47],"successful":[48],"based":[50,246],"on":[51,153,229],"granular":[53],"student":[56,127,203],"actions.":[57],"There":[58],"exist":[59],"several":[60],"methods":[61,247],"for":[62,170,256],"looking":[63],"at":[64],"longitudinal,":[65],"like":[68],"those":[69],"recorded":[70],"from":[71],"environments.":[73],"In":[74,115,147,161],"field":[76],"language":[78,98],"modelling,":[79],"traditional":[80],"n-gram":[81,240],"techniques":[82],"modern":[84],"recurrent":[85],"neural":[86],"network":[87],"(RNN)":[88],"approaches":[89],"have":[90],"been":[91],"applied":[92],"algorithmically":[94],"find":[95,217],"structure":[96,224],"in":[97,108,134,189,233,258],"predict":[100],"next":[102,143,207],"word":[103],"given":[104],"previous":[106],"words":[107],"sentence":[110],"or":[111],"paragraph":[112],"input.":[114],"paper,":[117],"we":[118,150],"draw":[119],"an":[120],"analogy":[121],"work":[124,255],"by":[125,238],"treating":[126],"sequences":[128,173],"resource":[130,200],"views":[131],"interactions":[133],"MOOC":[136,187,260],"inputs":[139],"predicting":[141,197],"students'":[142],"interaction":[144],"outputs.":[146],"study,":[149],"train":[151],"only":[152],"students":[154],"who":[155],"received":[156],"certificate":[158],"completion.":[160],"doing":[162],"so,":[163],"model":[165],"could":[166],"potentially":[167],"be":[168,211],"used":[169,188],"recommendation":[171,257],"eventually":[174],"leading":[175],"success,":[177],"opposed":[179],"perpetuating":[181],"unproductive":[182],"behavior.":[183],"Given":[184],"our":[190],"study":[191],"had":[192],"over":[193],"3,500":[194],"unique":[195],"resources,":[196],"exact":[199],"will":[204],"might":[208],"appear":[209],"difficult":[213],"classification":[214],"problem.":[215],"We":[216],"simply":[219],"following":[220],"syllabus":[222],"(built-in":[223],"course)":[227],"gives":[228],"average":[230],"23%":[231],"accuracy":[232],"making":[234],"prediction,":[236],"followed":[237],"method":[241],"70.4%,":[243],"RNN":[245],"72.2%.":[249],"This":[250],"research":[251],"lays":[252],"ground":[254],"other":[262],"digital":[263],"where":[266],"volumes":[268],"exist.":[272]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2016-09-16T00:00:00"}