{"id":"https://openalex.org/W4414463553","doi":"https://doi.org/10.1109/conit65521.2025.11167877","title":"InvestED: A Smart Financial Education Platform Using LSTM & Game Mechanics","display_name":"InvestED: A Smart Financial Education Platform Using LSTM & Game Mechanics","publication_year":2025,"publication_date":"2025-06-20","ids":{"openalex":"https://openalex.org/W4414463553","doi":"https://doi.org/10.1109/conit65521.2025.11167877"},"language":"en","primary_location":{"id":"doi:10.1109/conit65521.2025.11167877","doi":"https://doi.org/10.1109/conit65521.2025.11167877","is_oa":false,"landing_page_url":"https://doi.org/10.1109/conit65521.2025.11167877","pdf_url":null,"source":{"id":"https://openalex.org/S4363607811","display_name":"International Conference on Intelligent Technologies (CONIT)","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 5th International Conference on Intelligent Technologies (CONIT)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5017983243","display_name":"Richa Mishra","orcid":"https://orcid.org/0000-0003-1995-2012","observed_orcids":["https://orcid.org/0000-0003-1995-2012"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ravita Mishra","raw_affiliation_strings":["VES Institute of Technology,Dept. of INFT Engineering,Mumbai,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VES Institute of Technology,Dept. of INFT Engineering,Mumbai,India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119714911","display_name":"Mohd Usmaan Mogale","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohd Usmaan Mogale","raw_affiliation_strings":["VES Institute of Technology,Dept. of INFT Engineering,Mumbai,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VES Institute of Technology,Dept. of INFT Engineering,Mumbai,India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119714912","display_name":"Atharva Mulam","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Atharva Mulam","raw_affiliation_strings":["VES Institute of Technology,Dept. of INFT Engineering,Mumbai,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VES Institute of Technology,Dept. of INFT Engineering,Mumbai,India","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Nilanchala Panda","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nilanchala Panda","raw_affiliation_strings":["VES Institute of Technology,Dept. of INFT Engineering,Mumbai,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VES Institute of Technology,Dept. of INFT Engineering,Mumbai,India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5119714913","display_name":"Divesh Punjabi","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Divesh Punjabi","raw_affiliation_strings":["VES Institute of Technology,Dept. of INFT Engineering,Mumbai,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VES Institute of Technology,Dept. of INFT Engineering,Mumbai,India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31322939,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12123","display_name":"Financial Analysis and Corporate Governance","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10517","display_name":"Financial Literacy, Pension, Retirement Analysis","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/financial-education","display_name":"financial education","score":0.8989999890327454},{"id":"https://openalex.org/keywords/financial-literacy","display_name":"financial literacy","score":0.9679999947547913},{"id":"https://openalex.org/keywords/lstm","display_name":"LSTM","score":0.7699999809265137},{"id":"https://openalex.org/keywords/game-mechanics","display_name":"game mechanics","score":0.7879999876022339},{"id":"https://openalex.org/keywords/gamification","display_name":"gamification","score":0.7049999833106995},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.875},{"id":"https://openalex.org/keywords/personalized-financial-advice","display_name":"personalized financial advice","score":0.7639999985694885},{"id":"https://openalex.org/keywords/student-financial-education","display_name":"student financial education","score":0.3499999940395355},{"id":"https://openalex.org/keywords/temporal-dependency-modeling","display_name":"temporal dependency modeling","score":0.5090000033378601}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6406000256538391},{"id":"https://openalex.org/C2777941463","wikidata":"https://www.wikidata.org/wiki/Q1416374","display_name":"Financial literacy","level":2,"score":0.6122000217437744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5806000232696533},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4950000047683716},{"id":"https://openalex.org/C19244329","wikidata":"https://www.wikidata.org/wiki/Q208697","display_name":"Financial market","level":2,"score":0.4945000112056732},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45500001311302185},{"id":"https://openalex.org/C27548731","wikidata":"https://www.wikidata.org/wiki/Q88272","display_name":"Investment (military)","level":3,"score":0.44850000739097595},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43790000677108765},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.36809998750686646},{"id":"https://openalex.org/C139043278","wikidata":"https://www.wikidata.org/wiki/Q837171","display_name":"Financial services","level":2,"score":0.3621000051498413},{"id":"https://openalex.org/C547764534","wikidata":"https://www.wikidata.org/wiki/Q8236","display_name":"Literacy","level":2,"score":0.3603000044822693},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.35350000858306885},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.34599998593330383},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3336000144481659},{"id":"https://openalex.org/C23925645","wikidata":"https://www.wikidata.org/wiki/Q5449731","display_name":"Financial modeling","level":2,"score":0.3328999876976013},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.32499998807907104},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.3244999945163727},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.32109999656677246},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.2946000099182129},{"id":"https://openalex.org/C191654821","wikidata":"https://www.wikidata.org/wiki/Q247506","display_name":"Financial instrument","level":2,"score":0.290800005197525},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.28679999709129333},{"id":"https://openalex.org/C2778865806","wikidata":"https://www.wikidata.org/wiki/Q6060850","display_name":"Investment decisions","level":3,"score":0.28529998660087585},{"id":"https://openalex.org/C198036527","wikidata":"https://www.wikidata.org/wiki/Q2074634","display_name":"Black swan theory","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.26820001006126404},{"id":"https://openalex.org/C126388530","wikidata":"https://www.wikidata.org/wiki/Q1131737","display_name":"Imitation","level":2,"score":0.26669999957084656},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.2662999927997589},{"id":"https://openalex.org/C76073288","wikidata":"https://www.wikidata.org/wiki/Q1337875","display_name":"Financial risk","level":2,"score":0.2556000053882599},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.2547999918460846},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.25459998846054077},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.25450000166893005},{"id":"https://openalex.org/C2777064627","wikidata":"https://www.wikidata.org/wiki/Q3151423","display_name":"Financial innovation","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/conit65521.2025.11167877","doi":"https://doi.org/10.1109/conit65521.2025.11167877","is_oa":false,"landing_page_url":"https://doi.org/10.1109/conit65521.2025.11167877","pdf_url":null,"source":{"id":"https://openalex.org/S4363607811","display_name":"International Conference on Intelligent Technologies (CONIT)","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 5th International Conference on Intelligent Technologies (CONIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality education","score":0.9235000014305115}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2918784286","https://openalex.org/W2999191972","https://openalex.org/W3020574666","https://openalex.org/W3134281945","https://openalex.org/W3208106936","https://openalex.org/W4200347874","https://openalex.org/W4205749588","https://openalex.org/W4313816405","https://openalex.org/W4396792921","https://openalex.org/W4401666288","https://openalex.org/W4402587755"],"related_works":[],"abstract_inverted_index":{"In":[0,43],"the":[1,54,109,122,179,188,220,244],"era":[2],"of":[3,59,66,78,124,213,222,249],"state-of-the-art":[4],"machine":[5],"learning,":[6],"Long":[7],"Short-Term":[8],"Memory":[9],"(LSTM)":[10],"networks":[11,62],"and":[12,24,63,92,116,134,174,227,246],"Large":[13],"Language":[14],"Models":[15],"(LLMs)":[16],"have":[17,32],"shown":[18],"remarkable":[19],"capabilities":[20,58],"in":[21,38,215],"sequence":[22],"prediction":[23],"natural":[25,99,228],"language":[26,100,229],"comprehension":[27],"respectively.":[28],"Although":[29],"such":[30,131,154,161],"technologies":[31],"remade":[33],"several":[34],"domains,":[35],"their":[36],"application":[37],"financial":[39,70,104,176,234,254],"education":[40,72,235],"remains":[41],"unexplored.":[42],"this":[44],"research,":[45],"we":[46],"present":[47],"InvestED,":[48],"a":[49,163,237],"new":[50],"platform":[51,152],"that":[52,162],"taps":[53],"temporal":[55],"dependency":[56],"modeling":[57],"LSTM":[60,79,111],"neural":[61,189],"contextual":[64],"knowledge":[65],"LLMs":[67,97],"to":[68,84,120,168,231],"redefine":[69,232],"literacy":[71],"for":[73,102,146,193,210],"students.":[74],"The":[75,151],"bidirectional":[76],"property":[77],"enables":[80],"sophisticated":[81],"market":[82,196],"patterns":[83],"be":[85],"captured":[86],"by":[87,136,183],"its":[88],"dedicated":[89],"forget,":[90],"input,":[91],"output":[93],"gates,":[94],"while":[95],"transformerbased":[96],"provide":[98],"processing":[101,230],"personalized":[103],"suggestions.":[105],"Our":[106],"setup":[107],"utilizes":[108],"double-layer":[110],"model":[112],"($\\mathbf{1":[113],"0":[114],"0}$":[115,118],"$\\mathbf{5":[117],"units)":[119],"predict":[121],"performance":[123],"mutual":[125,148],"funds,":[126],"beating":[127],"conventional":[128],"statistical":[129],"frameworks":[130],"as":[132,203,205,236],"ARIMA":[133],"Prophet":[135],"$\\mathbf{2":[137],"9":[138],"-":[139],"4":[140,141],"\\%}$":[142,209],"lower":[143],"error":[144],"rates":[145],"all":[147],"fund":[149],"types.":[150],"includes":[153],"advanced":[155,223],"AI":[156],"models":[157],"within":[158],"game-like":[159],"interfaces":[160],"computation":[164],"arena":[165],"is":[166],"availed":[167],"test":[169],"investment":[170],"decisions,":[171],"monitor":[172],"expenses,":[173],"learn":[175],"aspects":[177],"through":[178],"feedback":[180],"loops":[181],"produced":[182],"algorithms.":[184],"Performance":[185],"evaluation":[186],"demonstrates":[187,219],"network\u2019s":[190],"superior":[191],"potential":[192,221],"identifying":[194],"non-linear":[195],"dependencies":[197],"with":[198,253],"mean":[199],"absolute":[200],"percentage":[201],"errors":[202],"low":[204],"$\\mathbf{2.":[206],"3":[207],"1":[208],"certain":[211],"classes":[212],"investments":[214],"out-of-sample":[216],"tests.":[217],"InvestED":[218],"deep":[224],"learning":[225,240],"architectures":[226],"abstract":[233],"fun,":[238],"data-driven":[239],"experience,":[241],"effectively":[242],"bridging":[243],"pedagogical":[245],"technological":[247],"challenges":[248],"equipping":[250],"digitally-native":[251],"generations":[252],"literacy.":[255]},"counts_by_year":[],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2025-10-10T00:00:00"}
