{"id":"https://openalex.org/W2206224721","doi":"https://doi.org/10.1109/bigdata.2015.7363847","title":"Next-term student grade prediction","display_name":"Next-term student grade prediction","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2206224721","doi":"https://doi.org/10.1109/bigdata.2015.7363847","mag":"2206224721"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2015.7363847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2015.7363847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 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/A5088592451","display_name":"Mack Sweeney","orcid":null},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mack Sweeney","raw_affiliation_strings":["George Mason University, Fairfax, VA, United States","George Mason Univ, Fairfax, VA, United States"],"affiliations":[{"raw_affiliation_string":"George Mason University, Fairfax, VA, United States","institution_ids":["https://openalex.org/I162714631"]},{"raw_affiliation_string":"George Mason Univ, Fairfax, VA, United States","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004915403","display_name":"Jaime Lester","orcid":"https://orcid.org/0000-0002-5399-1157"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jaime Lester","raw_affiliation_strings":["George Mason University, Fairfax, VA, United States","George Mason Univ, Fairfax, VA, United States"],"affiliations":[{"raw_affiliation_string":"George Mason University, Fairfax, VA, United States","institution_ids":["https://openalex.org/I162714631"]},{"raw_affiliation_string":"George Mason Univ, Fairfax, VA, United States","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006581225","display_name":"Huzefa Rangwala","orcid":"https://orcid.org/0000-0003-0435-0035"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huzefa Rangwala","raw_affiliation_strings":["George Mason University, Fairfax, VA, United States","George Mason Univ, Fairfax, VA, United States"],"affiliations":[{"raw_affiliation_string":"George Mason University, Fairfax, VA, United States","institution_ids":["https://openalex.org/I162714631"]},{"raw_affiliation_string":"George Mason Univ, Fairfax, VA, United States","institution_ids":["https://openalex.org/I162714631"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088592451"],"corresponding_institution_ids":["https://openalex.org/I162714631"],"apc_list":null,"apc_paid":null,"fwci":11.062,"has_fulltext":false,"cited_by_count":104,"citation_normalized_percentile":{"value":0.9802693,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"970","last_page":"975"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9793000221252441,"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/T14025","display_name":"Educational Technology and Assessment","score":0.9617000222206116,"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/term","display_name":"Term (time)","score":0.7476897239685059},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7169495820999146},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6745694875717163},{"id":"https://openalex.org/keywords/graduation","display_name":"Graduation (instrument)","score":0.6438431143760681},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5324211120605469},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.46466195583343506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.464471697807312},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.4558899998664856},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.41768568754196167},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.3441435694694519},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.3201647996902466},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1504678726196289},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13393902778625488},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09974858164787292}],"concepts":[{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.7476897239685059},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7169495820999146},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6745694875717163},{"id":"https://openalex.org/C2779529714","wikidata":"https://www.wikidata.org/wiki/Q2632744","display_name":"Graduation (instrument)","level":2,"score":0.6438431143760681},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5324211120605469},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.46466195583343506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.464471697807312},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.4558899998664856},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.41768568754196167},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.3441435694694519},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.3201647996902466},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1504678726196289},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13393902778625488},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09974858164787292},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2015.7363847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2015.7363847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7300000190734863,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1522177097","https://openalex.org/W1527463082","https://openalex.org/W1966165526","https://openalex.org/W1971389588","https://openalex.org/W2021601071","https://openalex.org/W2028795295","https://openalex.org/W2045871438","https://openalex.org/W2079777076","https://openalex.org/W2094286023","https://openalex.org/W2099866409","https://openalex.org/W2110462947","https://openalex.org/W2151464835","https://openalex.org/W2153385788","https://openalex.org/W2159094788","https://openalex.org/W2165949563","https://openalex.org/W2289525833","https://openalex.org/W3159103470","https://openalex.org/W3204892469","https://openalex.org/W4256102880","https://openalex.org/W6766912420"],"related_works":["https://openalex.org/W1484355083","https://openalex.org/W4220714703","https://openalex.org/W2170391450","https://openalex.org/W2735929803","https://openalex.org/W2098758514","https://openalex.org/W3008845055","https://openalex.org/W2041004656","https://openalex.org/W2202724490","https://openalex.org/W2119611366","https://openalex.org/W2103058005"],"abstract_inverted_index":{"An":[0],"enduring":[1],"issue":[2],"in":[3,33,42,51,72,78,158,166],"higher":[4],"education":[5],"is":[6,64,118,183],"student":[7,71,89,197],"retention":[8],"to":[9,65,96,126,155,193],"successful":[10],"graduation.":[11],"To":[12,179],"further":[13],"this":[14,84,116,182],"goal,":[15],"we":[16,162],"develop":[17],"a":[18,34,43,97,108,127],"system":[19],"for":[20,28,55,69,115,143,176],"the":[21,29,52,67,73,80,87,121,138,169,184,195],"task":[22,63],"of":[23,46,129],"predicting":[24],"students'":[25],"course":[26],"grades":[27,50,68],"next":[30,81],"enrollment":[31],"term":[32],"traditional":[35],"university":[36],"setting.":[37],"Each":[38],"term,":[39],"students":[40],"enroll":[41,77],"limited":[44],"number":[45],"courses":[47,74],"and":[48,124,146,168,173],"earn":[49],"range":[53],"A-F":[54],"each":[56,70],"course.":[57],"Given":[58],"historical":[59],"grade":[60,90,198],"data,":[61],"our":[62,180],"predict":[66,157],"they":[75],"will":[76],"during":[79],"term.":[82],"With":[83],"problem":[85,92],"formulation,":[86],"next-term":[88,196],"prediction":[91,99,140,148,199],"becomes":[93],"quite":[94],"similar":[95],"rating":[98],"or":[100],"next-basket":[101],"recommendation":[102],"problem.":[103,200],"The":[104],"factorization":[105,111],"machine":[106],"(FM),":[107],"general-purpose":[109],"matrix":[110],"(MF)":[112],"algorithm":[113],"suitable":[114],"task,":[117],"leveraged":[119],"as":[120],"state-of-the-art":[122,189],"method":[123],"compared":[125],"variety":[128],"other":[130,170],"methods.":[131],"Our":[132],"experiments":[133],"show":[134],"that":[135,150,187],"FMs":[136,151,167],"achieve":[137],"lowest":[139],"error.":[141],"Results":[142],"both":[144,159],"cold-start":[145],"non-cold-start":[147],"demonstrate":[149],"can":[152],"be":[153],"used":[154],"accurately":[156],"settings.":[160],"Finally,":[161],"identify":[163],"limitations":[164],"observed":[165],"models":[171],"tested":[172],"discuss":[174],"directions":[175],"future":[177],"work.":[178],"knowledge,":[181],"first":[185],"study":[186],"applies":[188],"collaborative":[190],"filtering":[191],"algorithms":[192],"solve":[194]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":4}],"updated_date":"2026-01-21T23:30:37.877113","created_date":"2025-10-10T00:00:00"}
