{"id":"https://openalex.org/W4409965712","doi":"https://doi.org/10.1145/3722237.3722354","title":"Generative AI in Education: Developing Personalized Learning Experiences with Hyperspherical Variational Self-Attention Autoencoder","display_name":"Generative AI in Education: Developing Personalized Learning Experiences with Hyperspherical Variational Self-Attention Autoencoder","publication_year":2024,"publication_date":"2024-11-22","ids":{"openalex":"https://openalex.org/W4409965712","doi":"https://doi.org/10.1145/3722237.3722354"},"language":"en","primary_location":{"id":"doi:10.1145/3722237.3722354","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3722237.3722354","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd International Conference on Artificial Intelligence and Education","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":null,"display_name":"Xue Han","orcid":"https://orcid.org/0009-0000-0961-7718"},"institutions":[{"id":"https://openalex.org/I12615008","display_name":"Beijing Normal-Hong Kong Baptist University","ror":"https://ror.org/04snvc712","country_code":"CN","type":"education","lineage":["https://openalex.org/I12615008"]},{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Xue Han","raw_affiliation_strings":["Guangdong Provincial Key Laboratory IRADS and Department of Computer Science, Beijing Normal University-Hong Kong Baptist University United International College, Zhuhai, Guangdong, China"],"raw_orcid":"https://orcid.org/0009-0000-0961-7718","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory IRADS and Department of Computer Science, Beijing Normal University-Hong Kong Baptist University United International College, Zhuhai, Guangdong, China","institution_ids":["https://openalex.org/I12615008","https://openalex.org/I25254941","https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhixiang Li","orcid":"https://orcid.org/0009-0008-1690-449X"},"institutions":[{"id":"https://openalex.org/I12615008","display_name":"Beijing Normal-Hong Kong Baptist University","ror":"https://ror.org/04snvc712","country_code":"CN","type":"education","lineage":["https://openalex.org/I12615008"]},{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Zhixiang Li","raw_affiliation_strings":["Guangdong Provincial Key Laboratory IRADS and Department of Computer Science, Beijing Normal University-Hong Kong Baptist University United International College, Zhuhai, Guangdong, China"],"raw_orcid":"https://orcid.org/0009-0008-1690-449X","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory IRADS and Department of Computer Science, Beijing Normal University-Hong Kong Baptist University United International College, Zhuhai, Guangdong, China","institution_ids":["https://openalex.org/I12615008","https://openalex.org/I25254941","https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090206880","display_name":"Wenchuan Zhang","orcid":"https://orcid.org/0000-0002-0805-0745"},"institutions":[{"id":"https://openalex.org/I12615008","display_name":"Beijing Normal-Hong Kong Baptist University","ror":"https://ror.org/04snvc712","country_code":"CN","type":"education","lineage":["https://openalex.org/I12615008"]},{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Wenchuan Zhang","raw_affiliation_strings":["Guangdong Provincial Key Laboratory IRADS and Department of Computer Science, Beijing Normal University-Hong Kong Baptist University United International College, Zhuhai, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0002-0805-0745","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory IRADS and Department of Computer Science, Beijing Normal University-Hong Kong Baptist University United International College, Zhuhai, Guangdong, China","institution_ids":["https://openalex.org/I12615008","https://openalex.org/I25254941","https://openalex.org/I141568987"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056455910","display_name":"Wentao Fan","orcid":"https://orcid.org/0000-0001-6694-7289"},"institutions":[{"id":"https://openalex.org/I12615008","display_name":"Beijing Normal-Hong Kong Baptist University","ror":"https://ror.org/04snvc712","country_code":"CN","type":"education","lineage":["https://openalex.org/I12615008"]},{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Wentao Fan","raw_affiliation_strings":["Guangdong Provincial Key Laboratory IRADS and Department of Computer Science, Beijing Normal University-Hong Kong Baptist University United International College, Zhuhai, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0001-6694-7289","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory IRADS and Department of Computer Science, Beijing Normal University-Hong Kong Baptist University United International College, Zhuhai, Guangdong, China","institution_ids":["https://openalex.org/I12615008","https://openalex.org/I25254941","https://openalex.org/I141568987"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2219,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.840646,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"670","last_page":"674"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.9980000257492065,"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":0.972599983215332,"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/T10320","display_name":"Neural Networks and Applications","score":0.9641000032424927,"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/autoencoder","display_name":"Autoencoder","score":0.9658612012863159},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.725105881690979},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6973505020141602},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5958848595619202},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5578956604003906},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4595123827457428},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.31576526165008545}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.9658612012863159},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.725105881690979},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6973505020141602},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5958848595619202},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5578956604003906},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4595123827457428},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.31576526165008545}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3722237.3722354","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3722237.3722354","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd International Conference on Artificial Intelligence and Education","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1981276685","https://openalex.org/W1987626674","https://openalex.org/W2008924408","https://openalex.org/W2972668418","https://openalex.org/W2998861456","https://openalex.org/W3187558201","https://openalex.org/W3207716104","https://openalex.org/W4360980141","https://openalex.org/W4388582970","https://openalex.org/W4393864430","https://openalex.org/W4402724329","https://openalex.org/W6600297362","https://openalex.org/W6604009900","https://openalex.org/W6614377781","https://openalex.org/W6702248584"],"related_works":["https://openalex.org/W2669956259","https://openalex.org/W4249005693","https://openalex.org/W4392946183","https://openalex.org/W4405887298","https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380075502","https://openalex.org/W4391584540","https://openalex.org/W4394785709","https://openalex.org/W4309969736"],"abstract_inverted_index":{"With":[0],"the":[1,16,44,71,97,106,126,139],"advancement":[2],"of":[3,18,28,37],"artificial":[4],"intelligence":[5],"(AI)":[6],"technology,":[7],"content":[8,46,118],"generation":[9],"has":[10],"sparked":[11],"a":[12,26,85,103],"transformative":[13],"revolution":[14],"in":[15],"field":[17],"education.":[19,155],"In":[20],"traditional":[21],"education,":[22],"teachers":[23,39,74,129],"often":[24],"spend":[25],"lot":[27],"time":[29],"preparing":[30],"lessons,":[31],"because":[32],"students":[33],"have":[34],"varying":[35],"levels":[36],"proficiency,":[38],"need":[40],"to":[41,57,114],"consider":[42],"whether":[43],"teaching":[45],"is":[47],"suitable":[48],"for":[49,149],"everyone.":[50],"Generative":[51],"AI":[52],"provides":[53],"an":[54],"effective":[55],"solution":[56],"this":[58],"problem":[59],"by":[60],"automatically":[61],"generating":[62],"personalized,":[63],"high-quality":[64,143],"educational":[65,144],"content,":[66],"which":[67,112],"not":[68],"only":[69],"alleviates":[70],"burden":[72,127],"on":[73,84,92,120,128],"but":[75],"also":[76],"enhances":[77],"students'":[78,121],"learning":[79,117,122,132],"outcomes.":[80,133],"This":[81],"study":[82],"focuses":[83],"novel":[86],"deep":[87],"generative":[88],"model\u2014a":[89],"framework":[90],"based":[91,119],"Variational":[93,108],"Autoencoders":[94],"(VAE)":[95],"and":[96,130,153],"self-attention":[98],"mechanism":[99],"(Transformer).":[100],"We":[101],"propose":[102],"model":[104,140],"called":[105],"Hyperspherical":[107],"Self-Attention":[109],"Autoencoder":[110],"(HVSAE),":[111],"aims":[113],"generate":[115,142],"personalized":[116,152],"situations,":[123],"thereby":[124],"reducing":[125],"improving":[131],"The":[134],"experimental":[135],"results":[136],"indicate":[137],"that":[138],"can":[141],"resources,":[145],"providing":[146],"important":[147],"support":[148],"achieving":[150],"more":[151],"efficient":[154]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
