{"id":"https://openalex.org/W2807428256","doi":"https://doi.org/10.1609/aaai.v32i1.11393","title":"Predictive Modeling of Learning Continuation in Preschool Education Using Temporal Patterns of Development Tests","display_name":"Predictive Modeling of Learning Continuation in Preschool Education Using Temporal Patterns of Development Tests","publication_year":2018,"publication_date":"2018-04-27","ids":{"openalex":"https://openalex.org/W2807428256","doi":"https://doi.org/10.1609/aaai.v32i1.11393","mag":"2807428256"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v32i1.11393","doi":"https://doi.org/10.1609/aaai.v32i1.11393","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v32i1.11393","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W2807428256"],"child_works_count":0,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v32i1.11393","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019482465","display_name":"Junpei Naito","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Junpei Naito","raw_affiliation_strings":["Kyoto University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010710732","display_name":"Yukino Baba","orcid":"https://orcid.org/0000-0001-5310-9841","observed_orcids":["https://orcid.org/0000-0001-5310-9841"]},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yukino Baba","raw_affiliation_strings":["Kyoto University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031707680","display_name":"Hisashi Kashima","orcid":"https://orcid.org/0000-0002-2770-0184","observed_orcids":["https://orcid.org/0000-0002-2770-0184"]},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hisashi Kashima","raw_affiliation_strings":["Kyoto University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031211302","display_name":"Takenori Takaki","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Takenori Takaki","raw_affiliation_strings":["Shimane IT Open-Innovation Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shimane IT Open-Innovation Center","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073240401","display_name":"Takuya Funo","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405261951","display_name":"Shimane Industrial Promotion Foundation","ror":"https://ror.org/00h52rc17","country_code":"JP","type":"nonprofit","lineage":["https://openalex.org/I4405261951"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuya Funo","raw_affiliation_strings":["Shimane Industrial Promotion Foundation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shimane Industrial Promotion Foundation","institution_ids":["https://openalex.org/I4405261951"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7746,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.630107,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":"32","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":1.0,"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":1.0,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.0,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.0,"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/learning-analytics","display_name":"learning analytics","score":0.7620000243186951},{"id":"https://openalex.org/keywords/preschool-education","display_name":"preschool education","score":0.9700000286102295},{"id":"https://openalex.org/keywords/temporal-patterns","display_name":"temporal patterns","score":0.8140000104904175},{"id":"https://openalex.org/keywords/time-series-clustering","display_name":"time series clustering","score":0.9940000176429749},{"id":"https://openalex.org/keywords/early-childhood-education","display_name":"early childhood education","score":0.5329999923706055},{"id":"https://openalex.org/keywords/student-retention-prediction","display_name":"student retention prediction","score":0.4099999964237213}],"concepts":[{"id":"https://openalex.org/C88626702","wikidata":"https://www.wikidata.org/wiki/Q1128903","display_name":"Continuation","level":2,"score":0.7767181992530823},{"id":"https://openalex.org/C2777648619","wikidata":"https://www.wikidata.org/wiki/Q2845208","display_name":"Learning analytics","level":2,"score":0.7554914951324463},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.574333667755127},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5184142589569092},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5086394548416138},{"id":"https://openalex.org/C83209312","wikidata":"https://www.wikidata.org/wiki/Q1053367","display_name":"Predictive analytics","level":2,"score":0.4764690399169922},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4711947441101074},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4697611331939697},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3227660655975342},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v32i1.11393","doi":"https://doi.org/10.1609/aaai.v32i1.11393","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v32i1.11393","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/11393","doi":null,"is_oa":true,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/11393","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/11393/11252","source":{"id":"https://openalex.org/S4306400155","display_name":"AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801652627","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/I2801652627"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v32i1.11393","doi":"https://doi.org/10.1609/aaai.v32i1.11393","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v32i1.11393","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality education","score":0.975600004196167}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2807428256.pdf","grobid_xml":"https://content.openalex.org/works/W2807428256.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W116902681","https://openalex.org/W193988059","https://openalex.org/W2063293722","https://openalex.org/W2069992838","https://openalex.org/W2091921805","https://openalex.org/W2395088234","https://openalex.org/W2402294922","https://openalex.org/W6605342837"],"related_works":["https://openalex.org/W3017257313","https://openalex.org/W6941748334","https://openalex.org/W4388543576","https://openalex.org/W3193612000","https://openalex.org/W7172137687","https://openalex.org/W3188564113","https://openalex.org/W2037040146","https://openalex.org/W2095642485","https://openalex.org/W3016656527","https://openalex.org/W3026413913"],"abstract_inverted_index":{"Learning":[0],"analytics":[1,29,50],"applies":[2],"data":[3,8],"analysis":[4],"techniques":[5],"to":[6,11,17,27,51,54],"learning":[7,14,28,49,59],"in":[9,39,70],"order":[10],"support":[12],"students\u2019":[13],"processes":[15],"and":[16,41,90],"improve":[18],"the":[19,24,56,71,84,94,110,113,117],"quality":[20],"of":[21,58,60,74,96,112,120,123],"education.":[22,43],"Despite":[23],"increasing":[25],"attention":[26],"for":[30,80],"higher":[31],"education,":[32],"it":[33],"has":[34],"not":[35],"been":[36],"fully":[37],"addressed":[38],"primary":[40],"preschool":[42,52,61,105],"In":[44],"this":[45],"research,":[46],"we":[47,82],"apply":[48],"education":[53,106],"predict":[55],"continuation":[57,122],"children.":[62],"Based":[63],"on":[64],"our":[65],"hypothesis":[66],"that":[67,109],"temporal":[68,85,114],"patterns":[69,86,115],"assessment":[72],"scores":[73],"development":[75],"tests":[76],"are":[77],"effective":[78],"features":[79,95],"prediction,":[81],"extract":[83],"using":[87,102],"time-series":[88],"clustering,":[89],"use":[91,111],"them":[92],"as":[93],"prediction":[97],"models.":[98],"The":[99],"experimental":[100],"results":[101],"a":[103],"real":[104],"dataset":[107],"show":[108],"improves":[116],"predictive":[118],"accuracy":[119],"future":[121],"study.":[124]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2018-06-13T00:00:00"}
