{"id":"https://openalex.org/W4310357190","doi":"https://doi.org/10.1109/fie56618.2022.9962581","title":"Modeling Engineering Persistence through Expectancy Value Theory and Machine Learning Techniques","display_name":"Modeling Engineering Persistence through Expectancy Value Theory and Machine Learning Techniques","publication_year":2022,"publication_date":"2022-10-08","ids":{"openalex":"https://openalex.org/W4310357190","doi":"https://doi.org/10.1109/fie56618.2022.9962581"},"language":"en","primary_location":{"id":"doi:10.1109/fie56618.2022.9962581","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fie56618.2022.9962581","pdf_url":null,"source":{"id":"https://openalex.org/S4363607793","display_name":"2022 IEEE Frontiers in Education Conference (FIE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2022 IEEE Frontiers in Education Conference (FIE)","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/A5100457091","display_name":"Xiaomei Wang","orcid":"https://orcid.org/0000-0002-8190-5076"},"institutions":[{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiaomei Wang","raw_affiliation_strings":["University of Louisville,Department of Mechanical Engineering,Louisville,KY","Department of Mechanical Engineering, University of Louisville, Louisville, KY"],"affiliations":[{"raw_affiliation_string":"University of Louisville,Department of Mechanical Engineering,Louisville,KY","institution_ids":["https://openalex.org/I142740786"]},{"raw_affiliation_string":"Department of Mechanical Engineering, University of Louisville, Louisville, KY","institution_ids":["https://openalex.org/I142740786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056333310","display_name":"Arinan Dourado","orcid":"https://orcid.org/0000-0002-0793-9577"},"institutions":[{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arinan Dourado","raw_affiliation_strings":["University of Louisville,Department of Mechanical Engineering,Louisville,KY","Department of Mechanical Engineering, University of Louisville, Louisville, KY"],"affiliations":[{"raw_affiliation_string":"University of Louisville,Department of Mechanical Engineering,Louisville,KY","institution_ids":["https://openalex.org/I142740786"]},{"raw_affiliation_string":"Department of Mechanical Engineering, University of Louisville, Louisville, KY","institution_ids":["https://openalex.org/I142740786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024198674","display_name":"Pamela Bilo Thomas","orcid":"https://orcid.org/0000-0003-1250-3572"},"institutions":[{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pamela Bilo Thomas","raw_affiliation_strings":["University of Louisville,Department of Computer Science and Computer Engineering,Louisville,KY","Department of Computer Science and Computer Engineering, University of Louisville, Louisville, KY"],"affiliations":[{"raw_affiliation_string":"University of Louisville,Department of Computer Science and Computer Engineering,Louisville,KY","institution_ids":["https://openalex.org/I142740786"]},{"raw_affiliation_string":"Department of Computer Science and Computer Engineering, University of Louisville, Louisville, KY","institution_ids":["https://openalex.org/I142740786"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079061627","display_name":"Campbell R. Bego","orcid":"https://orcid.org/0000-0002-8125-3178"},"institutions":[{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Campbell R. Bego","raw_affiliation_strings":["University of Louisville,Department of Engineering Fundamentals,Louisville,KY","Department of Engineering Fundamentals, University of Louisville, Louisville, KY"],"affiliations":[{"raw_affiliation_string":"University of Louisville,Department of Engineering Fundamentals,Louisville,KY","institution_ids":["https://openalex.org/I142740786"]},{"raw_affiliation_string":"Department of Engineering Fundamentals, University of Louisville, Louisville, KY","institution_ids":["https://openalex.org/I142740786"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100457091"],"corresponding_institution_ids":["https://openalex.org/I142740786"],"apc_list":null,"apc_paid":null,"fwci":0.6277,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.68309747,"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":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9753000140190125,"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/T10320","display_name":"Neural Networks and Applications","score":0.9753000140190125,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9502000212669373,"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":0.9398000240325928,"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/persistence","display_name":"Persistence (discontinuity)","score":0.6537305116653442},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6173810958862305},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.6132347583770752},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6030253767967224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6005285978317261},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5886847972869873},{"id":"https://openalex.org/keywords/expectancy-theory","display_name":"Expectancy theory","score":0.5297057628631592},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.44397684931755066},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4436538517475128},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19111394882202148},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11288410425186157}],"concepts":[{"id":"https://openalex.org/C2781009140","wikidata":"https://www.wikidata.org/wiki/Q7170389","display_name":"Persistence (discontinuity)","level":2,"score":0.6537305116653442},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6173810958862305},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.6132347583770752},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6030253767967224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6005285978317261},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5886847972869873},{"id":"https://openalex.org/C188353592","wikidata":"https://www.wikidata.org/wiki/Q450586","display_name":"Expectancy theory","level":2,"score":0.5297057628631592},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.44397684931755066},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4436538517475128},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19111394882202148},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11288410425186157},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fie56618.2022.9962581","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fie56618.2022.9962581","pdf_url":null,"source":{"id":"https://openalex.org/S4363607793","display_name":"2022 IEEE Frontiers in Education Conference (FIE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2022 IEEE Frontiers in Education Conference (FIE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1857367885","https://openalex.org/W1971294185","https://openalex.org/W1977177161","https://openalex.org/W1980754674","https://openalex.org/W1993403980","https://openalex.org/W2002016471","https://openalex.org/W2012224113","https://openalex.org/W2013636006","https://openalex.org/W2052727234","https://openalex.org/W2130337868","https://openalex.org/W2136131815","https://openalex.org/W2137983211","https://openalex.org/W2139204978","https://openalex.org/W2590002181","https://openalex.org/W2729814639","https://openalex.org/W2766589691","https://openalex.org/W2911964244","https://openalex.org/W2962772482","https://openalex.org/W2974902866","https://openalex.org/W2982369263","https://openalex.org/W3010804528","https://openalex.org/W3031051743","https://openalex.org/W3045200431","https://openalex.org/W3216743480","https://openalex.org/W4391562758","https://openalex.org/W4402843978","https://openalex.org/W6740723495","https://openalex.org/W6768516823","https://openalex.org/W6861034208"],"related_works":["https://openalex.org/W1995895161","https://openalex.org/W2352063914","https://openalex.org/W2047377442","https://openalex.org/W2017131795","https://openalex.org/W3205546307","https://openalex.org/W2883299638","https://openalex.org/W4387835727","https://openalex.org/W2792495574","https://openalex.org/W2589957347","https://openalex.org/W4283759719"],"abstract_inverted_index":{"This":[0],"Research":[1],"to":[2,30,49],"Practice":[3],"Full":[4],"Paper":[5],"presents":[6],"an":[7],"investigation":[8],"of":[9,27,74,87],"engineering":[10],"retention":[11,52],"using":[12],"machine":[13],"learning":[14],"models.":[15],"We":[16,55,79],"use":[17],"random":[18],"forests":[19],"and":[20,47],"artificial":[21],"neural":[22],"networks":[23],"in":[24,53,69],"the":[25,32],"form":[26],"multilayer":[28],"perceptrons":[29],"analyze":[31],"interaction":[33],"between":[34],"different":[35,85],"factors,":[36],"such":[37],"as":[38],"demographic":[39],"information,":[40],"standardized":[41],"test":[42],"scores,":[43],"first":[44],"semester":[45],"grades,":[46],"surveys":[48],"predict":[50,61],"student":[51],"engineering.":[54],"find":[56,80],"that":[57,81],"obtained":[58],"models":[59],"can":[60],"with":[62,71],"good":[63],"accuracy":[64],"if":[65],"students":[66],"will":[67],"remain":[68],"engineering,":[70],"F1":[72],"scores":[73],"at":[75],"least":[76],"75":[77],"percent.":[78],"each":[82],"model":[83],"places":[84],"levels":[86],"importance":[88],"on":[89],"distinct":[90],"factors.":[91]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
