{"id":"https://openalex.org/W2540026235","doi":"https://doi.org/10.1109/icetc.2014.6998902","title":"Sequential pattern mining method for analysis of programming learning history based on the learning process","display_name":"Sequential pattern mining method for analysis of programming learning history based on the learning process","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W2540026235","doi":"https://doi.org/10.1109/icetc.2014.6998902","mag":"2540026235"},"language":"en","primary_location":{"id":"doi:10.1109/icetc.2014.6998902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icetc.2014.6998902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Education Technologies and Computers (ICETC)","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/A5109373744","display_name":"Shoichi Nakamura","orcid":null},"institutions":[{"id":"https://openalex.org/I58089638","display_name":"Fukushima University","ror":"https://ror.org/03zjb7z20","country_code":"JP","type":"education","lineage":["https://openalex.org/I58089638"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shoichi Nakamura","raw_affiliation_strings":["Department Computer Science and Mathematics, Fukushima University, Japan"],"affiliations":[{"raw_affiliation_string":"Department Computer Science and Mathematics, Fukushima University, Japan","institution_ids":["https://openalex.org/I58089638"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087921875","display_name":"Kaname Nozaki","orcid":null},"institutions":[{"id":"https://openalex.org/I161107111","display_name":"Tokyo Gakugei University","ror":"https://ror.org/00khh5r84","country_code":"JP","type":"education","lineage":["https://openalex.org/I161107111"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kaname Nozaki","raw_affiliation_strings":["Faculty of Education, Tokyo Gakugei University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Education, Tokyo Gakugei University, Tokyo, Japan","institution_ids":["https://openalex.org/I161107111"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078425375","display_name":"Yasuhiko Morimoto","orcid":"https://orcid.org/0000-0001-7130-2864"},"institutions":[{"id":"https://openalex.org/I161107111","display_name":"Tokyo Gakugei University","ror":"https://ror.org/00khh5r84","country_code":"JP","type":"education","lineage":["https://openalex.org/I161107111"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuhiko Morimoto","raw_affiliation_strings":["Faculty of Education, Tokyo Gakugei University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Education, Tokyo Gakugei University, Tokyo, Japan","institution_ids":["https://openalex.org/I161107111"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108683274","display_name":"Youzou Miyadera","orcid":null},"institutions":[{"id":"https://openalex.org/I161107111","display_name":"Tokyo Gakugei University","ror":"https://ror.org/00khh5r84","country_code":"JP","type":"education","lineage":["https://openalex.org/I161107111"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Youzou Miyadera","raw_affiliation_strings":["Faculty of Education, Tokyo Gakugei University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Education, Tokyo Gakugei University, Tokyo, Japan","institution_ids":["https://openalex.org/I161107111"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5109373744"],"corresponding_institution_ids":["https://openalex.org/I58089638"],"apc_list":null,"apc_paid":null,"fwci":2.3667,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.91832482,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"107","issue":null,"first_page":"55","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9951000213623047,"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"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9951000213623047,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9843000173568726,"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/T11122","display_name":"Online Learning and Analytics","score":0.9746000170707703,"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":0.7823557257652283},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6460632085800171},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5696698427200317},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5200481414794922},{"id":"https://openalex.org/keywords/sequence-learning","display_name":"Sequence learning","score":0.5154424905776978},{"id":"https://openalex.org/keywords/instance-based-learning","display_name":"Instance-based learning","score":0.47389450669288635},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.45716655254364014},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.43978753685951233},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.15221264958381653}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7823557257652283},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6460632085800171},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5696698427200317},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5200481414794922},{"id":"https://openalex.org/C40506919","wikidata":"https://www.wikidata.org/wiki/Q7452469","display_name":"Sequence learning","level":2,"score":0.5154424905776978},{"id":"https://openalex.org/C24138899","wikidata":"https://www.wikidata.org/wiki/Q17141258","display_name":"Instance-based learning","level":3,"score":0.47389450669288635},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.45716655254364014},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.43978753685951233},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.15221264958381653},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icetc.2014.6998902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icetc.2014.6998902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Education Technologies and Computers (ICETC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7400000095367432,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1608194207","https://openalex.org/W1996457152","https://openalex.org/W2027711578","https://openalex.org/W2079777076","https://openalex.org/W2139471083","https://openalex.org/W2158454296","https://openalex.org/W2292578178","https://openalex.org/W2905113622"],"related_works":["https://openalex.org/W2883195674","https://openalex.org/W2072736607","https://openalex.org/W3196155444","https://openalex.org/W2962840010","https://openalex.org/W4286799911","https://openalex.org/W3033485676","https://openalex.org/W4319309271","https://openalex.org/W4306321456","https://openalex.org/W4224009465","https://openalex.org/W4206195464"],"abstract_inverted_index":{"This":[0,21,38,75,108],"research":[1],"aims":[2],"to":[3,111,129],"realize":[4],"a":[5,42],"novel":[6],"method":[7,28,45],"for":[8,30],"learning":[9,15,33,48,80,117,123,133,138],"history":[10],"analysis":[11,31,72,87,126],"based":[12,52,85,96,145],"on":[13,53,86,97,146],"the":[14,24,54,89,93,105,114],"processes":[16,118],"in":[17,64,119,135],"programming":[18,120],"exercise":[19],"classes.":[20],"paper":[22,39,69],"proposes":[23],"sequential":[25],"pattern":[26],"mining":[27],"specialized":[29],"of":[32,35,56,79,83,88,92,102,132,142],"histories":[34],"programing":[36],"learning.":[37],"initially":[40],"describes":[41,70],"data":[43],"processing":[44],"which":[46],"investigates":[47],"transitions":[49],"as":[50],"sequences":[51],"analyses":[55],"learners'":[57],"source":[58],"codes":[59],"and":[60,100,122,140],"compile":[61],"errors":[62],"generated":[63],"their":[65],"exercises.":[66],"Next,":[67],"this":[68],"an":[71],"support":[73],"tool.":[74],"tool":[76,109],"assists":[77],"collection":[78],"histories,":[81,90],"generation":[82],"sequence":[84],"extraction":[91],"noteworthy":[94],"patterns":[95],"SPADE":[98],"algorithm":[99],"acquisition":[101,141],"findings":[103,144],"from":[104],"extracted":[106],"patterns.":[107],"enables":[110],"effectively":[112],"analyze":[113],"relationships":[115],"between":[116],"exercises":[121],"situations.":[124],"Such":[125],"can":[127],"contribute":[128],"practical":[130],"grasping":[131],"situations":[134],"accordance":[136],"with":[137],"process":[139],"advanced":[143],"it.":[147]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
