{"id":"https://openalex.org/W2339170461","doi":"https://doi.org/10.1145/2876034.2893409","title":"ASSISTments Dataset from Multiple Randomized Controlled Experiments","display_name":"ASSISTments Dataset from Multiple Randomized Controlled Experiments","publication_year":2016,"publication_date":"2016-04-14","ids":{"openalex":"https://openalex.org/W2339170461","doi":"https://doi.org/10.1145/2876034.2893409","mag":"2339170461"},"language":"en","primary_location":{"id":"doi:10.1145/2876034.2893409","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2876034.2893409","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2893409&type=pdf","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":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=2893409&type=pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074734777","display_name":"Douglas Selent","orcid":null},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Douglas Selent","raw_affiliation_strings":["Worcester Polytechnic Institute, Worcester, MA, USA"],"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute, Worcester, MA, USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082375962","display_name":"Thanaporn Patikorn","orcid":"https://orcid.org/0000-0002-9879-2709"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thanaporn Patikorn","raw_affiliation_strings":["Worcester Polytechnic Institute, Worcester, MA, USA"],"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute, Worcester, MA, USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078998782","display_name":"Neil T. Heffernan","orcid":"https://orcid.org/0000-0002-3280-288X"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neil Heffernan","raw_affiliation_strings":["Worcester Polytechnic Institute, Worcester, MA, USA"],"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute, Worcester, MA, USA","institution_ids":["https://openalex.org/I107077323"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5074734777"],"corresponding_institution_ids":["https://openalex.org/I107077323"],"apc_list":null,"apc_paid":null,"fwci":6.2521,"has_fulltext":true,"cited_by_count":31,"citation_normalized_percentile":{"value":0.96111159,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"181","last_page":"184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9879000186920166,"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":0.9879000186920166,"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":0.9700999855995178,"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":0.9699000120162964,"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":0.8102073669433594},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6925089359283447},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.652198314666748},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5963116884231567},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.5388367772102356},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5199664831161499},{"id":"https://openalex.org/keywords/column","display_name":"Column (typography)","score":0.5100001096725464},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3902395963668823},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3812708854675293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3001278340816498}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8102073669433594},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6925089359283447},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.652198314666748},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5963116884231567},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.5388367772102356},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5199664831161499},{"id":"https://openalex.org/C2780551164","wikidata":"https://www.wikidata.org/wiki/Q2306599","display_name":"Column (typography)","level":3,"score":0.5100001096725464},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3902395963668823},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3812708854675293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3001278340816498},{"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/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2876034.2893409","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2876034.2893409","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2893409&type=pdf","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":{"id":"doi:10.1145/2876034.2893409","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2876034.2893409","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2893409&type=pdf","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"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2050073735","display_name":null,"funder_award_id":"1316736","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3313002345","display_name":null,"funder_award_id":"DRL-1252297","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G440167496","display_name":null,"funder_award_id":"1535428","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4482130029","display_name":null,"funder_award_id":"R305A120125 & R305C100024","funder_id":"https://openalex.org/F4320332210","funder_display_name":"Institute of Education Sciences"},{"id":"https://openalex.org/G5594358474","display_name":null,"funder_award_id":"multiple","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5906722674","display_name":null,"funder_award_id":"ACI-1440753, DRL-1252297, DRL-1109483, DRL-1316736, DGE-1535428 & DRL-1031398","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6133684713","display_name":null,"funder_award_id":"1109483","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6507447573","display_name":null,"funder_award_id":"several","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8254802686","display_name":null,"funder_award_id":"DRL-1031398","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8337109446","display_name":null,"funder_award_id":"1440753","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G842482667","display_name":null,"funder_award_id":"GAANN","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8763841068","display_name":null,"funder_award_id":"1252297","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G899203672","display_name":null,"funder_award_id":"1031398","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"},{"id":"https://openalex.org/F4320332210","display_name":"Institute of Education Sciences","ror":"https://ror.org/04et59085"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2339170461.pdf","grobid_xml":"https://content.openalex.org/works/W2339170461.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W1444691871","https://openalex.org/W2160133757","https://openalex.org/W2340375877","https://openalex.org/W2397974594","https://openalex.org/W2404488675","https://openalex.org/W2462018304","https://openalex.org/W2805850675","https://openalex.org/W2829293416"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W3092506759","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W120741642","https://openalex.org/W138569904","https://openalex.org/W2390914021","https://openalex.org/W2389417819"],"abstract_inverted_index":{"In":[0],"this":[1,62],"paper,":[2],"we":[3],"present":[4],"a":[5,39,81],"dataset":[6,27,63,79],"consisting":[7],"of":[8,68,83],"data":[9,29,37,50],"generated":[10],"from":[11],"22":[12],"previously":[13],"and":[14,80],"currently":[15],"running":[16],"randomized":[17],"controlled":[18],"experiments":[19,44],"inside":[20],"the":[21,46,75,78,91],"ASSIStments":[22],"online":[23],"learning":[24],"platform.":[25],"This":[26],"provides":[28],"mining":[30],"opportunities":[31],"for":[32],"researchers":[33,59],"to":[34,57,73,88],"analyze":[35],"ASSISTments":[36],"in":[38,55,77],"convenient":[40],"format":[41],"across":[42],"multiple":[43],"at":[45],"same":[47],"time.":[48],"The":[49],"preprocessing":[51],"steps":[52],"are":[53,86],"explained":[54],"detail":[56],"inform":[58],"about":[60],"how":[61],"was":[64],"generated.":[65],"A":[66],"list":[67],"column":[69],"descriptions":[70],"is":[71],"provided":[72],"define":[74],"columns":[76],"set":[82],"summary":[84],"statistics":[85],"presented":[87],"briefly":[89],"describe":[90],"dataset.":[92]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
