{"id":"https://openalex.org/W2756027697","doi":null,"title":"Using Machine Learning Techniques to Predict IntroductoryProgramming Performance","display_name":"Using Machine Learning Techniques to Predict IntroductoryProgramming Performance","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2756027697","mag":"2756027697"},"language":"en","primary_location":{"id":"pmh:oai:mural.maynoothuniversity.ie:8682","doi":null,"is_oa":false,"landing_page_url":"https://mural.maynoothuniversity.ie/id/eprint/8682/1/SB-Using-2015.pdf","pdf_url":"https://mural.maynoothuniversity.ie/id/eprint/8682/1/SB-Using-2015.pdf","source":{"id":"https://openalex.org/S4306401432","display_name":"Maynooth University ePrints and eTheses Archive (Maynooth University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I157286207","host_organization_name":"National University of Ireland, Maynooth","host_organization_lineage":["https://openalex.org/I157286207"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://eprints.maynoothuniversity.ie/8682/1/SB-Using-2015.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079407666","display_name":"Susan Bergin","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Susan Bergin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022353416","display_name":"Aidan Mooney","orcid":"https://orcid.org/0000-0001-8945-0697","observed_orcids":["https://orcid.org/0000-0001-8945-0697"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aidan Mooney","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-8945-0697","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065097308","display_name":"John H. Ghent","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"John Ghent","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5008927493","display_name":"Keith Quille","orcid":"https://orcid.org/0000-0002-1414-5142","observed_orcids":["https://orcid.org/0000-0002-1414-5142"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Keith Quille","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-1414-5142","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1916,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.92743142,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10533","display_name":"Teaching and Learning Programming","score":0.98580002784729,"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/T10533","display_name":"Teaching and Learning Programming","score":0.98580002784729,"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/T11122","display_name":"Online Learning and Analytics","score":0.013500000350177288,"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/T10260","display_name":"Software Engineering Research","score":9.999999747378752e-05,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/introductory-programming","display_name":"introductory programming","score":0.968999981880188},{"id":"https://openalex.org/keywords/student-performance","display_name":"student performance","score":0.38499999046325684},{"id":"https://openalex.org/keywords/classifiers","display_name":"machine learning classifiers","score":0.6779999732971191},{"id":"https://openalex.org/keywords/naive-bayes","display_name":"naive Bayes","score":0.7940000295639038},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"logistic regression","score":0.9319999814033508},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.9070000052452087},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.8830000162124634},{"id":"https://openalex.org/keywords/decision-tree","display_name":"decision tree","score":0.843999981880188},{"id":"https://openalex.org/keywords/programming-education","display_name":"programming education","score":0.4189999997615814},{"id":"https://openalex.org/keywords/school-dropout","display_name":"school dropout","score":0.6330000162124634}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7851839065551758},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7229377031326294},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.707769513130188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.698818027973175},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6349496841430664},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5862963795661926},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.578894853591919},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5560606122016907},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4390588104724884},{"id":"https://openalex.org/C64946054","wikidata":"https://www.wikidata.org/wiki/Q4874476","display_name":"Bayesian multivariate linear regression","level":3,"score":0.4226114749908447},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.3319300711154938}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:mural.maynoothuniversity.ie:8682","doi":null,"is_oa":false,"landing_page_url":"https://mural.maynoothuniversity.ie/id/eprint/8682/1/SB-Using-2015.pdf","pdf_url":"https://mural.maynoothuniversity.ie/id/eprint/8682/1/SB-Using-2015.pdf","source":{"id":"https://openalex.org/S4306401432","display_name":"Maynooth University ePrints and eTheses Archive (Maynooth University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I157286207","host_organization_name":"National University of Ireland, Maynooth","host_organization_lineage":["https://openalex.org/I157286207"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:eprints.maynoothuniversity.ie:8682","doi":null,"is_oa":true,"landing_page_url":"http://eprints.maynoothuniversity.ie/8682/1/SB-Using-2015.pdf","pdf_url":"http://eprints.maynoothuniversity.ie/8682/1/SB-Using-2015.pdf","source":{"id":"https://openalex.org/S4306401432","display_name":"Maynooth University ePrints and eTheses Archive (Maynooth University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I157286207","host_organization_name":"National University of Ireland, Maynooth","host_organization_lineage":["https://openalex.org/I157286207"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"mag:2756027697","doi":null,"is_oa":false,"landing_page_url":"http://eprints.maynoothuniversity.ie/8682/","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:eprints.maynoothuniversity.ie:8682","doi":null,"is_oa":true,"landing_page_url":"http://eprints.maynoothuniversity.ie/8682/1/SB-Using-2015.pdf","pdf_url":"http://eprints.maynoothuniversity.ie/8682/1/SB-Using-2015.pdf","source":{"id":"https://openalex.org/S4306401432","display_name":"Maynooth University ePrints and eTheses Archive (Maynooth University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I157286207","host_organization_name":"National University of Ireland, Maynooth","host_organization_lineage":["https://openalex.org/I157286207"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},"sustainable_development_goals":[{"score":0.5,"display_name":"Quality education","id":"https://metadata.un.org/sdg/4"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2756027697.pdf","grobid_xml":"https://content.openalex.org/works/W2756027697.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7006653528","https://openalex.org/W7043392681","https://openalex.org/W652482510","https://openalex.org/W4298005434","https://openalex.org/W4313546876","https://openalex.org/W2883598591","https://openalex.org/W3188237241","https://openalex.org/W4388296646","https://openalex.org/W4390646309","https://openalex.org/W4387113893"],"abstract_inverted_index":{"Learning":[0],"to":[1,20,29,38,60,91],"program":[2],"is":[3,85],"difficult":[4],"and":[5,12,28,110,122,138],"can":[6],"result":[7],"in":[8],"high":[9],"drop":[10],"out":[11],"failure":[13],"rates.":[14],"Numerous":[15],"research":[16],"studies":[17],"have":[18,92],"attempted":[19],"determine":[21,61],"the":[22,44,82,93,105,136,139,142],"factors":[23,62,137],"that":[24,63,134],"influence":[25,64],"programming":[26,65,79],"success":[27],"develop":[30],"suitable":[31],"prediction":[32,95],"models.":[33],"The":[34,126],"models":[35],"built":[36],"tend":[37],"be":[39],"statistical,":[40],"with":[41,129],"linear":[42],"regression":[43],"most":[45],"common":[46],"technique":[47],"used.":[48],"Over":[49],"a":[50,54,130],"three":[51],"year":[52],"period":[53],"multi-institutional,":[55],"multivariate":[56],"study":[57,133],"was":[58,89],"performed":[59],"success.":[66],"In":[67],"this":[68,108],"paper":[69,127],"an":[70],"investigation":[71],"of":[72,107,141],"six":[73],"machine":[74],"learning":[75],"algorithms":[76],"for":[77],"predicting":[78],"success,":[80],"using":[81],"predetermined":[83],"factors,":[84],"described.":[86],"Na\u00efve":[87],"Bayes":[88,144],"found":[90,103],"highest":[94],"accuracy.":[96],"However,":[97],"no":[98],"significant":[99],"statistical":[100],"differences":[101],"were":[102],"between":[104],"accuracy":[106],"algorithm":[109],"logistic":[111],"regression,":[112],"SMO":[113],"(support":[114],"vector":[115],"machine),":[116],"back":[117],"propagation":[118],"(artificial":[119],"neural":[120],"network)":[121],"C4.5":[123],"(decision":[124],"tree).":[125],"concludes":[128],"recent":[131],"epilogue":[132],"re-validates":[135],"performance":[140],"na\u00efve":[143],"model.":[145]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2017-09-25T00:00:00"}
