{"id":"https://openalex.org/W4211025734","doi":"https://doi.org/10.1145/3498765.3498768","title":"Predictive Model of Student Academic Performance from LMS data based on Learning Analytics","display_name":"Predictive Model of Student Academic Performance from LMS data based on Learning Analytics","publication_year":2021,"publication_date":"2021-10-22","ids":{"openalex":"https://openalex.org/W4211025734","doi":"https://doi.org/10.1145/3498765.3498768"},"language":"en","primary_location":{"id":"doi:10.1145/3498765.3498768","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3498765.3498768","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Education Technology and Computers","raw_type":"proceedings-article"},"type":"conference-paper","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/A5079897524","display_name":"Benjam\u00edn Maraza-Quispe","orcid":"https://orcid.org/0000-0001-8845-4979"},"institutions":[{"id":"https://openalex.org/I3130590570","display_name":"Universidad Nacional de San Agustin de Arequipa","ror":"https://ror.org/01e9gfg41","country_code":"PE","type":"education","lineage":["https://openalex.org/I3130590570"]}],"countries":["PE"],"is_corresponding":false,"raw_author_name":"Benjamin Maraza-Quispe","raw_affiliation_strings":["Education Faculty, National University of San Agustin of Arequipa, Peru"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Education Faculty, National University of San Agustin of Arequipa, Peru","institution_ids":["https://openalex.org/I3130590570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046472744","display_name":"Enrique Dami\u00e1n Valderrama-Chauca","orcid":null},"institutions":[{"id":"https://openalex.org/I3130590570","display_name":"Universidad Nacional de San Agustin de Arequipa","ror":"https://ror.org/01e9gfg41","country_code":"PE","type":"education","lineage":["https://openalex.org/I3130590570"]}],"countries":["PE"],"is_corresponding":false,"raw_author_name":"Enrique Damian Valderrama-Chauca","raw_affiliation_strings":["Education Faculty, National University of San Agustin of Arequipa, Peru"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Education Faculty, National University of San Agustin of Arequipa, Peru","institution_ids":["https://openalex.org/I3130590570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101718976","display_name":"Lenin Henry Cari-Mogrovejo","orcid":"https://orcid.org/0000-0003-0907-7859"},"institutions":[{"id":"https://openalex.org/I3130590570","display_name":"Universidad Nacional de San Agustin de Arequipa","ror":"https://ror.org/01e9gfg41","country_code":"PE","type":"education","lineage":["https://openalex.org/I3130590570"]}],"countries":["PE"],"is_corresponding":false,"raw_author_name":"Lenin Henry Cari-Mogrovejo","raw_affiliation_strings":["Education Faculty, National University of San Agustin of Arequipa, Peru"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Education Faculty, National University of San Agustin of Arequipa, Peru","institution_ids":["https://openalex.org/I3130590570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059463781","display_name":"Jorge Milton Apaza-Huanca","orcid":null},"institutions":[{"id":"https://openalex.org/I3130590570","display_name":"Universidad Nacional de San Agustin de Arequipa","ror":"https://ror.org/01e9gfg41","country_code":"PE","type":"education","lineage":["https://openalex.org/I3130590570"]}],"countries":["PE"],"is_corresponding":false,"raw_author_name":"Jorge Milton Apaza-Huanca","raw_affiliation_strings":["Education Faculty, National University of San Agustin of Arequipa, Peru"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Education Faculty, National University of San Agustin of Arequipa, Peru","institution_ids":["https://openalex.org/I3130590570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3130590570"],"apc_list":null,"apc_paid":null,"fwci":1.58,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.84024311,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"13","last_page":"19"},"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/T12395","display_name":"Educational Innovations and Technology","score":0.979200005531311,"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"}},{"id":"https://openalex.org/T14246","display_name":"E-Learning and Knowledge Management","score":0.975600004196167,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7019491195678711},{"id":"https://openalex.org/keywords/learning-analytics","display_name":"Learning analytics","score":0.6554587483406067},{"id":"https://openalex.org/keywords/learning-management","display_name":"Learning Management","score":0.5971167683601379},{"id":"https://openalex.org/keywords/simple-random-sample","display_name":"Simple random sample","score":0.564890444278717},{"id":"https://openalex.org/keywords/mean-absolute-error","display_name":"Mean absolute error","score":0.5454751253128052},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.48790690302848816},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4654216468334198},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.46193352341651917},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.42694470286369324},{"id":"https://openalex.org/keywords/educational-data-mining","display_name":"Educational data mining","score":0.4193504750728607},{"id":"https://openalex.org/keywords/standard-error","display_name":"Standard error","score":0.41134247183799744},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4039856195449829},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3860803544521332},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38431084156036377},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.3355768322944641},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.16440489888191223},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09815603494644165}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7019491195678711},{"id":"https://openalex.org/C2777648619","wikidata":"https://www.wikidata.org/wiki/Q2845208","display_name":"Learning analytics","level":2,"score":0.6554587483406067},{"id":"https://openalex.org/C2779114481","wikidata":"https://www.wikidata.org/wiki/Q6510117","display_name":"Learning Management","level":2,"score":0.5971167683601379},{"id":"https://openalex.org/C20353970","wikidata":"https://www.wikidata.org/wiki/Q1056998","display_name":"Simple random sample","level":3,"score":0.564890444278717},{"id":"https://openalex.org/C188154048","wikidata":"https://www.wikidata.org/wiki/Q6803609","display_name":"Mean absolute error","level":3,"score":0.5454751253128052},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.48790690302848816},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4654216468334198},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.46193352341651917},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.42694470286369324},{"id":"https://openalex.org/C2777598771","wikidata":"https://www.wikidata.org/wiki/Q5341279","display_name":"Educational data mining","level":2,"score":0.4193504750728607},{"id":"https://openalex.org/C18747219","wikidata":"https://www.wikidata.org/wiki/Q620994","display_name":"Standard error","level":2,"score":0.41134247183799744},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4039856195449829},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3860803544521332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38431084156036377},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.3355768322944641},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.16440489888191223},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09815603494644165},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3498765.3498768","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3498765.3498768","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Education Technology and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W643967429","https://openalex.org/W1539947443","https://openalex.org/W1968295086","https://openalex.org/W1994211543","https://openalex.org/W2005372638","https://openalex.org/W2006444123","https://openalex.org/W2018904618","https://openalex.org/W2022337613","https://openalex.org/W2086145942","https://openalex.org/W2123051606","https://openalex.org/W2143959207","https://openalex.org/W2153378020","https://openalex.org/W2394824715","https://openalex.org/W2514832122","https://openalex.org/W2515095688","https://openalex.org/W2518725484","https://openalex.org/W2789389039","https://openalex.org/W3001705417","https://openalex.org/W3092634373","https://openalex.org/W4234042746","https://openalex.org/W4288079856","https://openalex.org/W6683137221"],"related_works":["https://openalex.org/W2912668742","https://openalex.org/W3133135863","https://openalex.org/W4253709724","https://openalex.org/W3061763893","https://openalex.org/W2995766734","https://openalex.org/W3188589169","https://openalex.org/W2065718809","https://openalex.org/W2529601000","https://openalex.org/W3157139468","https://openalex.org/W3021163624"],"abstract_inverted_index":{"The":[0,43,108,125,147,177],"present":[1],"research":[2],"aims":[3],"to":[4,13,37,192,213,233,257],"implement":[5],"a":[6,25,135],"predictive":[7],"model":[8,109,151,183,253],"in":[9,35,49,77,97,113,174],"the":[10,17,66,78,81,87,114,118,150,161,169,181,187,193,196,208,214,217,228,234,237,251],"KNIME":[11,115],"platform":[12,116],"analyze":[14],"and":[15,40,62,106,202,227],"compare":[16],"prediction":[18,154,178],"of":[19,68,80,83,86,90,129,137,149,155,171,180,195,206,216,225,236,245],"academic":[20,33,157,172,261],"performance":[21,158,173,262],"using":[22,117],"data":[23,54,56,58,266],"from":[24,133,263],"Learning":[26],"Management":[27],"System":[28],"(LMS),":[29],"identifying":[30],"students":[31],"at":[32],"risk":[34],"order":[36],"generate":[38],"timely":[39,41],"interventions.":[42],"CRISP-DM":[44],"methodology":[45],"was":[46,199,220,240],"used,":[47],"structured":[48],"six":[50],"phases:":[51],"Problem":[52],"analysis,":[53,55],"understanding,":[57],"preparation,":[59],"modeling,":[60],"evaluation":[61],"implementation.":[63],"Based":[64],"on":[65],"analysis":[67],"online":[69],"learning":[70],"behavior":[71],"through":[72],"22":[73,162],"behavioral":[74,164],"indicators":[75,94,165],"observed":[76,163],"LMS":[79,265],"Faculty":[82],"Educational":[84],"Sciences":[85],"National":[88],"University":[89],"San":[91],"Agustin.":[92],"These":[93,247],"are":[95,166,184],"distributed":[96],"five":[98],"dimensions:":[99],"Academic":[100],"Performance,":[101],"Access,":[102],"Homework,":[103],"Social":[104],"Aspects":[105],"Quizzes.":[107],"has":[110,140],"been":[111,141],"implemented":[112,182],"Simple":[119],"Regression":[120],"Tree":[121],"Learner":[122],"training":[123],"algorithm.":[124],"total":[126],"population":[127],"consists":[128],"30,000":[130],"student":[131],"records":[132,139],"which":[134],"sample":[136],"1,000":[138],"taken":[142],"by":[143],"simple":[144],"random":[145],"sampling.":[146],"accuracy":[148,205,224,244],"for":[152],"early":[153],"students'":[156,259],"is":[159],"evaluated,":[160],"compared":[167,191,212,232],"with":[168,203,222,242],"means":[170],"three":[175],"courses.":[176],"results":[179,248],"satisfactory":[185],"where":[186],"mean":[188,194,209,215,229,235],"absolute":[189,210,230],"error":[190,211,231],"first":[197],"course":[198,219,239],"3.":[200],"813":[201],"an":[204,223,243,264],"89.7%,":[207],"second":[218],"2.809":[221],"94.2%":[226],"third":[238],"2.779":[241],"93.8%.":[246],"demonstrate":[249],"that":[250],"proposed":[252],"can":[254],"be":[255],"used":[256],"predict":[258],"future":[260],"set.":[267]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
