{"id":"https://openalex.org/W99120435","doi":null,"title":"Labeling Student Behavior Faster and More Precisely with Text Replays.","display_name":"Labeling Student Behavior Faster and More Precisely with Text Replays.","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W99120435","mag":"99120435"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.142.257","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.142.257","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-2.cs.cmu.edu/~rsbaker/EDM2008TextReplayAlgebraG.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5088695714","display_name":"Ryan S. Baker","orcid":"https://orcid.org/0000-0002-3051-3232","observed_orcids":["https://orcid.org/0000-0002-3051-3232"]},"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":"Ryan S. Baker","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":"https://orcid.org/0000-0002-3051-3232","affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067429093","display_name":"Adriana M. J. B. de Carvalho","orcid":null,"observed_orcids":[]},"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":"Adriana M. J. B. de Carvalho","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, United States","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":9.7947,"has_fulltext":false,"cited_by_count":77,"citation_normalized_percentile":{"value":0.97886631,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"38","last_page":"47"},"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":0.6226000189781189,"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":0.6226000189781189,"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":0.3621000051498413,"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/T11492","display_name":"Academic integrity and plagiarism","score":0.0010999999940395355,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gaming-the-system","display_name":"gaming the system","score":0.8519999980926514},{"id":"https://openalex.org/keywords/intelligent-tutoring-systems","display_name":"intelligent tutoring systems","score":0.8999999761581421},{"id":"https://openalex.org/keywords/decision-tree","display_name":"decision tree","score":0.968999981880188},{"id":"https://openalex.org/keywords/field-observations","display_name":"field observations","score":0.3619999885559082},{"id":"https://openalex.org/keywords/classifier-training","display_name":"classifier training","score":0.4880000054836273},{"id":"https://openalex.org/keywords/behavior-prediction","display_name":"behavior prediction","score":0.3190000057220459}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8429235219955444},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.620469331741333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5760247707366943},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4584069550037384},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38205182552337646},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35725367069244385},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3511192202568054},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3440273404121399},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33829933404922485},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0737525224685669},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.142.257","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.142.257","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-2.cs.cmu.edu/~rsbaker/EDM2008TextReplayAlgebraG.pdf","raw_type":"text"},{"id":"mag:99120435","doi":null,"is_oa":false,"landing_page_url":"http://einstein.pslc.cs.cmu.edu/uploads/mypslc/publications/edm2008textreplayalgebrag.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":null,"sustainable_development_goals":[{"display_name":"Quality education","id":"https://metadata.un.org/sdg/4","score":0.9235000014305115}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W82502179","https://openalex.org/W120065238","https://openalex.org/W1487907352","https://openalex.org/W1565016070","https://openalex.org/W1570448133","https://openalex.org/W1740977785","https://openalex.org/W1823967723","https://openalex.org/W1951445929","https://openalex.org/W2047525153","https://openalex.org/W2055276505","https://openalex.org/W2065546066","https://openalex.org/W2096363625","https://openalex.org/W2108183197","https://openalex.org/W2109901510","https://openalex.org/W2112038415","https://openalex.org/W2115486496","https://openalex.org/W2121080242","https://openalex.org/W2157825442","https://openalex.org/W2623846867"],"related_works":["https://openalex.org/W7095397119","https://openalex.org/W1588158394","https://openalex.org/W2290556078","https://openalex.org/W2339248168","https://openalex.org/W2805623898","https://openalex.org/W2952759850","https://openalex.org/W7097819508","https://openalex.org/W3040330056","https://openalex.org/W17254076","https://openalex.org/W3128826581"],"abstract_inverted_index":{"Abstract.":[0],"We":[1,20],"present":[2],"text":[3,130,142],"replays,":[4],"a":[5],"method":[6,23,87],"for":[7,53],"generating":[8,54],"labels":[9],"that":[10],"can":[11],"be":[12],"used":[13],"to":[14,24,28,67,83,134,136],"train":[15],"classifiers":[16,69,114,123],"of":[17,102,111],"student":[18,103],"behavior.":[19],"use":[21,110],"this":[22,86],"label":[25,49],"data":[26,72,132,144],"as":[27,57,116,125],"whether":[29],"students":[30],"are":[31,44,160],"gaming":[32],"the":[33,74,109,169],"system,":[34],"within":[35],"20":[36],"intelligent":[37],"tutor":[38],"units":[39],"on":[40,70,81],"Algebra.":[41],"Text":[42,96],"replays":[43,97],"2-6":[45],"times":[46,90],"faster":[47,91],"per":[48],"than":[50,78,92,151,163],"previous":[51],"methods":[52],"labels,":[55],"such":[56,115,124],"quantitative":[58,93,155],"field":[59,94,156],"observations":[60],"and":[61,121,148],"screen":[62],"replays;":[63],"however,":[64],"being":[65,79],"able":[66],"generate":[68],"retrospective":[71],"at":[73,105,165],"coder\u2019s":[75],"convenience":[76],"(rather":[77],"dependent":[80],"visits":[82],"schools)":[84],"makes":[85],"about":[88],"40":[89],"observations.":[95],"also":[98],"give":[99],"precise":[100,162],"predictions":[101],"behavior":[104,170],"multiple":[106],"grain-sizes,":[107],"allowing":[108],"both":[112],"hierarchical":[113],"Latent":[117],"Response":[118],"Models":[119],"(LRMs),":[120],"non-hierarchical":[122],"Decision":[126,158],"Trees.":[127],"Training":[128],"using":[129,141,154],"replay":[131,143],"appears":[133],"lead":[135],"better":[137],"classifiers:":[138],"LRMs":[139,152,164],"trained":[140,153],"achieve":[145],"higher":[146],"correlation":[147],"A":[149],"'":[150],"observations;":[157],"Trees":[159],"more":[161],"identifying":[166],"exactly":[167],"when":[168],"occurs.":[171],"1":[172]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":14},{"year":2012,"cited_by_count":6}],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2016-06-24T00:00:00"}
