{"id":"https://openalex.org/W2593348673","doi":"https://doi.org/10.1145/3017680.3017792","title":"Evaluating Neural Networks as a Method for Identifying Students in Need of Assistance","display_name":"Evaluating Neural Networks as a Method for Identifying Students in Need of Assistance","publication_year":2017,"publication_date":"2017-03-07","ids":{"openalex":"https://openalex.org/W2593348673","doi":"https://doi.org/10.1145/3017680.3017792","mag":"2593348673"},"language":"en","primary_location":{"id":"doi:10.1145/3017680.3017792","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3017680.3017792","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://opus.lib.uts.edu.au/bitstream/10453/56028/1/evaluating-neural-networks.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036013298","display_name":"Karo Castro-Wunsch","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Karo Castro-Wunsch","raw_affiliation_strings":["University of Toronto Mississauga, Mississauga, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto Mississauga, Mississauga, ON, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017006322","display_name":"Alireza Ahadi","orcid":"https://orcid.org/0000-0002-2018-3065"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Alireza Ahadi","raw_affiliation_strings":["University of Technology, Sydney, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology, Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047964559","display_name":"Andrew Petersen","orcid":"https://orcid.org/0000-0003-1337-7985"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Andrew Petersen","raw_affiliation_strings":["University of Toronto Mississauga, Mississauga, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto Mississauga, Mississauga, ON, Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.6223,"has_fulltext":true,"cited_by_count":72,"citation_normalized_percentile":{"value":0.97411548,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"111","last_page":"116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9965999722480774,"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":0.9965999722480774,"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/T10533","display_name":"Teaching and Learning Programming","score":0.9858999848365784,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9681000113487244,"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/computer-science","display_name":"Computer science","score":0.7804239988327026},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.69701087474823},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6559726595878601},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6430990695953369},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5919340252876282},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5087178349494934},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.5021882057189941},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4987645149230957},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.4679267406463623},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.44517359137535095},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.101006418466568},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08941495418548584}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7804239988327026},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.69701087474823},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6559726595878601},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6430990695953369},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5919340252876282},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5087178349494934},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.5021882057189941},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4987645149230957},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.4679267406463623},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.44517359137535095},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.101006418466568},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08941495418548584},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3017680.3017792","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3017680.3017792","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/56028","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/56028","pdf_url":"https://opus.lib.uts.edu.au/bitstream/10453/56028/1/evaluating-neural-networks.pdf","source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":{"id":"pmh:oai:opus.lib.uts.edu.au:10453/56028","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/56028","pdf_url":"https://opus.lib.uts.edu.au/bitstream/10453/56028/1/evaluating-neural-networks.pdf","source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"},"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2593348673.pdf","grobid_xml":"https://content.openalex.org/works/W2593348673.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W173866368","https://openalex.org/W986585644","https://openalex.org/W1486195850","https://openalex.org/W1969675023","https://openalex.org/W1975665666","https://openalex.org/W1982866217","https://openalex.org/W2018722143","https://openalex.org/W2023735971","https://openalex.org/W2036955327","https://openalex.org/W2044490101","https://openalex.org/W2067438752","https://openalex.org/W2067963826","https://openalex.org/W2077361439","https://openalex.org/W2077539104","https://openalex.org/W2081868109","https://openalex.org/W2082157010","https://openalex.org/W2106525823","https://openalex.org/W2112328469","https://openalex.org/W2133990480","https://openalex.org/W2246250695","https://openalex.org/W2264893711","https://openalex.org/W2290063373","https://openalex.org/W2461343855","https://openalex.org/W2469269292","https://openalex.org/W2517883482","https://openalex.org/W2551949838","https://openalex.org/W2998768810","https://openalex.org/W3204892469","https://openalex.org/W4247129940","https://openalex.org/W4389515286"],"related_works":["https://openalex.org/W3008339103","https://openalex.org/W1667647204","https://openalex.org/W2404647514","https://openalex.org/W4247536566","https://openalex.org/W4241418540","https://openalex.org/W2018477250","https://openalex.org/W3119814709","https://openalex.org/W1508895727","https://openalex.org/W2725786787","https://openalex.org/W1590965489"],"abstract_inverted_index":{"Course":[0],"instructors":[1],"need":[2,10,190],"to":[3,6,29,40,68,117,171],"be":[4,36,169,172],"able":[5],"identify":[7],"students":[8,188],"in":[9,15,70,86,100,140,182],"of":[11,31,81,94,97,109,114,124,186],"assistance":[12],"as":[13,18,155,157],"early":[14],"the":[16,95,107,122,158,184],"course":[17,143],"possible.":[19],"Recent":[20],"work":[21,57,73],"has":[22,64],"suggested":[23],"that":[24,128,149],"machine":[25,129],"learning":[26,130],"approaches":[27,153],"applied":[28],"snapshots":[30],"small":[32],"programming":[33],"exercises":[34],"may":[35,177],"an":[37,92],"effective":[38,156],"solution":[39],"this":[41,102],"problem.":[42,103],"However,":[43],"these":[44],"results":[45],"have":[46],"been":[47,65],"obtained":[48],"using":[49,58],"data":[50],"from":[51,61],"a":[52,78,87,119,141,179],"single":[53,142],"institution,":[54],"and":[55,90,121,144,147,161],"prior":[56],"features":[59,111],"extracted":[60],"student":[62],"code":[63],"highly":[66],"sensitive":[67],"differences":[69],"context.":[71],"This":[72],"provides":[74],"two":[75,110],"contributions:":[76],"first,":[77],"partial":[79],"reproduction":[80],"previously":[82],"published":[83],"results,":[84],"but":[85],"different":[88],"context,":[89],"second,":[91],"exploration":[93],"efficacy":[96],"neural":[98,150,166],"networks":[99,167],"solving":[101,183],"Our":[104],"findings":[105],"confirm":[106],"importance":[108],"(the":[112],"number":[113],"steps":[115],"required":[116],"solve":[118],"problem":[120,185],"correctness":[123],"key":[125],"problems),":[126],"indicate":[127],"techniques":[131],"are":[132,154],"relatively":[133],"stable":[134],"across":[135,138,145],"contexts":[136],"(both":[137],"terms":[139],"courses),":[146],"suggest":[148],"network":[151],"based":[152],"best":[159],"Bayesian":[160],"decision":[162],"tree":[163],"methods.":[164],"Furthermore,":[165],"can":[168],"tuned":[170],"reliably":[173],"pessimistic,":[174],"so":[175],"they":[176],"serve":[178],"complementary":[180],"role":[181],"identifying":[187],"who":[189],"assistance.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
