{"id":"https://openalex.org/W3001705417","doi":"https://doi.org/10.1145/3369255.3369277","title":"An Interpretable Online Learner's Performance Prediction Model Based on Learning Analytics","display_name":"An Interpretable Online Learner's Performance Prediction Model Based on Learning Analytics","publication_year":2019,"publication_date":"2019-10-28","ids":{"openalex":"https://openalex.org/W3001705417","doi":"https://doi.org/10.1145/3369255.3369277","mag":"3001705417"},"language":"en","primary_location":{"id":"doi:10.1145/3369255.3369277","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3369255.3369277","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 11th International Conference on Education Technology and Computers","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/A5100441830","display_name":"Wei Zhang","orcid":"https://orcid.org/0009-0008-8218-753X"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Central China Normal University, Wuhan, Hubei, P.R. China"],"affiliations":[{"raw_affiliation_string":"Central China Normal University, Wuhan, Hubei, P.R. China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065849291","display_name":"Yilin Zhou","orcid":"https://orcid.org/0000-0002-6522-6655"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yilin Zhou","raw_affiliation_strings":["Central China Normal University, Wuhan, Hubei, P.R. China"],"affiliations":[{"raw_affiliation_string":"Central China Normal University, Wuhan, Hubei, P.R. China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055446747","display_name":"Baolin Yi","orcid":"https://orcid.org/0000-0001-8249-9279"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baolin Yi","raw_affiliation_strings":["Central China Normal University, Wuhan, Hubei, P.R. China"],"affiliations":[{"raw_affiliation_string":"Central China Normal University, Wuhan, Hubei, P.R. China","institution_ids":["https://openalex.org/I40963666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100441830"],"corresponding_institution_ids":["https://openalex.org/I40963666"],"apc_list":null,"apc_paid":null,"fwci":1.8056,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.87748187,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"148","last_page":"154"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9998999834060669,"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":0.9998999834060669,"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/T10162","display_name":"Online and Blended Learning","score":0.9290000200271606,"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"}},{"id":"https://openalex.org/T14025","display_name":"Educational Technology and Assessment","score":0.9158999919891357,"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/computer-science","display_name":"Computer science","score":0.8006025552749634},{"id":"https://openalex.org/keywords/learning-analytics","display_name":"Learning analytics","score":0.6948384046554565},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.645919919013977},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6176225543022156},{"id":"https://openalex.org/keywords/performance-prediction","display_name":"Performance prediction","score":0.6020088195800781},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.5514036417007446},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5461689829826355},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.5282151699066162},{"id":"https://openalex.org/keywords/predictive-analytics","display_name":"Predictive analytics","score":0.47562816739082336},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4347561001777649},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4249001443386078},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4219411611557007},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.10130289196968079}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8006025552749634},{"id":"https://openalex.org/C2777648619","wikidata":"https://www.wikidata.org/wiki/Q2845208","display_name":"Learning analytics","level":2,"score":0.6948384046554565},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.645919919013977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6176225543022156},{"id":"https://openalex.org/C2777115002","wikidata":"https://www.wikidata.org/wiki/Q7168246","display_name":"Performance prediction","level":2,"score":0.6020088195800781},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.5514036417007446},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5461689829826355},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.5282151699066162},{"id":"https://openalex.org/C83209312","wikidata":"https://www.wikidata.org/wiki/Q1053367","display_name":"Predictive analytics","level":2,"score":0.47562816739082336},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4347561001777649},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4249001443386078},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4219411611557007},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.10130289196968079},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3369255.3369277","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3369255.3369277","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 11th International Conference on Education Technology and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1984071766","https://openalex.org/W2018904618","https://openalex.org/W2022337613","https://openalex.org/W2050287928","https://openalex.org/W2086145942","https://openalex.org/W2087860659","https://openalex.org/W2089892729","https://openalex.org/W2123051606","https://openalex.org/W2143959207","https://openalex.org/W2146286581","https://openalex.org/W2153378020","https://openalex.org/W2253180872","https://openalex.org/W2515095688","https://openalex.org/W2518725484","https://openalex.org/W3005918788","https://openalex.org/W3211726231"],"related_works":["https://openalex.org/W4401228152","https://openalex.org/W3034358594","https://openalex.org/W3108868229","https://openalex.org/W4205686051","https://openalex.org/W3189884647","https://openalex.org/W4313451520","https://openalex.org/W4206275624","https://openalex.org/W3134571208","https://openalex.org/W3203664106","https://openalex.org/W2910942700"],"abstract_inverted_index":{"Most":[0],"of":[1,11,53],"student":[2,36,64,79],"performance":[3,37,65,80],"prediction":[4,12,18,30,38,66,68,107,114],"model":[5,19,39,51,84,110],"only":[6],"focused":[7],"on":[8,41],"the":[9,83,95],"accuracy":[10,27],"results,":[13],"but":[14],"achieving":[15],"an":[16],"interpretable":[17],"may":[20],"be":[21],"as":[22,24],"important":[23],"obtaining":[25],"high":[26],"in":[28,104],"learning":[29,43],"research.":[31],"This":[32,50],"paper":[33],"proposed":[34],"a":[35,72,101,112],"based":[40],"online":[42],"behavior":[44,48],"analytics":[45],"with":[46,85],"19":[47],"indicators.":[49],"consists":[52],"four":[54],"steps:":[55],"data":[56,62],"collection":[57],"and":[58,69],"processing,":[59],"correlation":[60],"analysis,":[61],"analytics,":[63],"algorithm,":[67],"intervention.":[70],"Moreover,":[71],"case":[73],"have":[74],"been":[75],"taken":[76],"to":[77,82],"predict":[78],"according":[81],"rule-based":[86,96],"genetic":[87,97],"programming":[88,98],"algorithm.":[89],"The":[90,109],"experiment":[91],"results":[92],"show":[93],"that":[94],"algorithm":[99],"has":[100],"stronger":[102],"interpretation":[103],"ensuring":[105],"competitive":[106],"accuracy.":[108],"achieves":[111],"good":[113],"effect.":[115]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}