{"id":"https://openalex.org/W2575752195","doi":null,"title":"Analysis and extraction of behaviors by students in lectures.","display_name":"Analysis and extraction of behaviors by students in lectures.","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2575752195","mag":"2575752195"},"language":"en","primary_location":{"id":"mag:2575752195","doi":null,"is_oa":false,"landing_page_url":"https://www.educationaldatamining.org/EDM2014/uploads/procs2014/posters/5_EDM-2014-Poster.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306418235","display_name":"Educational Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Educational Data Mining","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5101939046","display_name":"Watanabe Eiji","orcid":"https://orcid.org/0000-0001-6484-1499","observed_orcids":["https://orcid.org/0000-0001-6484-1499"]},"institutions":[{"id":"https://openalex.org/I15991598","display_name":"Konan University","ror":"https://ror.org/059b5pb30","country_code":"JP","type":"education","lineage":["https://openalex.org/I15991598"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Watanabe Eiji","raw_affiliation_strings":["K\u00f6nan University"],"raw_orcid":"https://orcid.org/0000-0001-6484-1499","affiliations":[{"raw_affiliation_string":"K\u00f6nan University","institution_ids":["https://openalex.org/I15991598"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066267765","display_name":"Takashi Ozeki","orcid":"https://orcid.org/0000-0002-9992-0717","observed_orcids":["https://orcid.org/0000-0002-9992-0717"]},"institutions":[{"id":"https://openalex.org/I41661162","display_name":"Fukuyama University","ror":"https://ror.org/00mrjbj15","country_code":"JP","type":"education","lineage":["https://openalex.org/I41661162"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takashi Ozeki","raw_affiliation_strings":["Fukuyama University, Fukuyama, Japan"],"raw_orcid":"https://orcid.org/0000-0002-9992-0717","affiliations":[{"raw_affiliation_string":"Fukuyama University, Fukuyama, Japan","institution_ids":["https://openalex.org/I41661162"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113868046","display_name":"Takeshi Kohama","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I916559398","display_name":"Kindai University","ror":"https://ror.org/05kt9ap64","country_code":"JP","type":"education","lineage":["https://openalex.org/I916559398"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeshi Kohama","raw_affiliation_strings":["Kindai University, Osaka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kindai University, Osaka, Japan","institution_ids":["https://openalex.org/I916559398"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3531,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72425402,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"329","last_page":"330"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9286999702453613,"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":0.9286999702453613,"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/T12260","display_name":"Educational Technology and Pedagogy","score":0.019700000062584877,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.007400000002235174,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/lecturer-behavior","display_name":"lecturer behavior","score":0.7310000061988831},{"id":"https://openalex.org/keywords/peer-behavior","display_name":"peer behavior","score":0.6480000019073486},{"id":"https://openalex.org/keywords/neural-network-approximation","display_name":"neural network approximation","score":0.6890000104904175},{"id":"https://openalex.org/keywords/classroom-video-analysis","display_name":"classroom video analysis","score":0.39800000190734863}],"concepts":[{"id":"https://openalex.org/C2778562939","wikidata":"https://www.wikidata.org/wiki/Q1298791","display_name":"Synchronization (alternating current)","level":3,"score":0.6766843795776367},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5642675161361694},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4807145893573761},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.40542301535606384},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.404153048992157},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.385242760181427},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2575752195","doi":null,"is_oa":false,"landing_page_url":"https://www.educationaldatamining.org/EDM2014/uploads/procs2014/posters/5_EDM-2014-Poster.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306418235","display_name":"Educational Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Educational Data Mining","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.975600004196167,"id":"https://metadata.un.org/sdg/4","display_name":"Quality education"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2029949252"],"related_works":["https://openalex.org/W2794409332","https://openalex.org/W2949250833","https://openalex.org/W4412047900","https://openalex.org/W2988863047","https://openalex.org/W2805623898","https://openalex.org/W4313053340","https://openalex.org/W4380149082","https://openalex.org/W3197387604","https://openalex.org/W7214957775","https://openalex.org/W4408362051"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,38,65],"discuss":[4],"the":[5,7,11,20,23,26,33,53,56,67,77,82],"influence":[6],"following":[8],"behaviors":[9,27,42,70],"on":[10,76],"behavior":[12,21,34],"by":[13,22,28,35,43,47,61,71],"a":[14],"specific":[15],"student":[16],"in":[17],"lectures;":[18],"(i)":[19],"lecturer,":[24],"(ii)":[25],"other":[29],"students,":[30],"and":[31,45,73,80],"(iii)":[32],"oneself.":[36],"First,":[37],"detect":[39],"features":[40,58],"for":[41],"lecturer":[44,72],"students":[46,74],"using":[48],"image":[49],"processing":[50],"methods.":[51],"Next,":[52],"relations":[54],"among":[55],"above":[57],"are":[59],"approximated":[60],"neural":[62],"networks.":[63],"Finally,":[64],"analyze":[66],"interaction":[68],"between":[69,84],"based":[75],"internal":[78],"representations":[79],"show":[81],"synchronization":[83],"students.":[85]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-10-10T17:16:08.811792","created_date":"2017-01-26T00:00:00"}