{"id":"https://openalex.org/W2803461117","doi":"https://doi.org/10.1109/educon.2018.8363352","title":"Evaluation of grade prediction using model-based collaborative filtering methods","display_name":"Evaluation of grade prediction using model-based collaborative filtering methods","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2803461117","doi":"https://doi.org/10.1109/educon.2018.8363352","mag":"2803461117"},"language":"en","primary_location":{"id":"doi:10.1109/educon.2018.8363352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/educon.2018.8363352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Engineering Education Conference (EDUCON)","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/A5016069525","display_name":"Ljupcho Rechkoski","orcid":null},"institutions":[{"id":"https://openalex.org/I76245029","display_name":"Saints Cyril and Methodius University of Skopje","ror":"https://ror.org/02wk2vx54","country_code":"MK","type":"education","lineage":["https://openalex.org/I76245029"]}],"countries":["MK"],"is_corresponding":true,"raw_author_name":"Ljupcho Rechkoski","raw_affiliation_strings":["Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Skopje, Macedonia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Skopje, Macedonia","institution_ids":["https://openalex.org/I76245029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028288416","display_name":"Vangel V. Ajanovski","orcid":"https://orcid.org/0000-0002-6789-0111"},"institutions":[{"id":"https://openalex.org/I76245029","display_name":"Saints Cyril and Methodius University of Skopje","ror":"https://ror.org/02wk2vx54","country_code":"MK","type":"education","lineage":["https://openalex.org/I76245029"]}],"countries":["MK"],"is_corresponding":false,"raw_author_name":"Vangel V. Ajanovski","raw_affiliation_strings":["Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Skopje, Macedonia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Skopje, Macedonia","institution_ids":["https://openalex.org/I76245029"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055088515","display_name":"Marija Mihova","orcid":null},"institutions":[{"id":"https://openalex.org/I76245029","display_name":"Saints Cyril and Methodius University of Skopje","ror":"https://ror.org/02wk2vx54","country_code":"MK","type":"education","lineage":["https://openalex.org/I76245029"]}],"countries":["MK"],"is_corresponding":false,"raw_author_name":"Marija Mihova","raw_affiliation_strings":["Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Skopje, Macedonia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Skopje, Macedonia","institution_ids":["https://openalex.org/I76245029"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016069525"],"corresponding_institution_ids":["https://openalex.org/I76245029"],"apc_list":null,"apc_paid":null,"fwci":2.2059,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.89018303,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"1096","last_page":"1103"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9995999932289124,"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":0.9995999932289124,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.996399998664856,"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/T14025","display_name":"Educational Technology and Assessment","score":0.9753000140190125,"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/computer-science","display_name":"Computer science","score":0.7005997896194458},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.5898049473762512},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5473619699478149},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.546755850315094},{"id":"https://openalex.org/keywords/graduation","display_name":"Graduation (instrument)","score":0.546319305896759},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.46978986263275146},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.44784796237945557},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43741393089294434},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.43718796968460083},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4311610162258148},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4250679314136505},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4244464635848999},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35001426935195923},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2601841688156128},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1764083206653595},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.1697738766670227},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07848688960075378}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7005997896194458},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.5898049473762512},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5473619699478149},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.546755850315094},{"id":"https://openalex.org/C2779529714","wikidata":"https://www.wikidata.org/wiki/Q2632744","display_name":"Graduation (instrument)","level":2,"score":0.546319305896759},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.46978986263275146},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.44784796237945557},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43741393089294434},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.43718796968460083},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4311610162258148},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4250679314136505},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4244464635848999},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35001426935195923},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2601841688156128},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1764083206653595},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.1697738766670227},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07848688960075378},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/educon.2018.8363352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/educon.2018.8363352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Engineering Education Conference (EDUCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1690919088","https://openalex.org/W2002973748","https://openalex.org/W2003445122","https://openalex.org/W2012026581","https://openalex.org/W2025063172","https://openalex.org/W2041646609","https://openalex.org/W2135793722","https://openalex.org/W2137245235","https://openalex.org/W2206224721","https://openalex.org/W2227197167","https://openalex.org/W2521727579","https://openalex.org/W2549873392","https://openalex.org/W2582503872","https://openalex.org/W2623516000","https://openalex.org/W2747279697","https://openalex.org/W2782887564","https://openalex.org/W2888828063","https://openalex.org/W2963864707","https://openalex.org/W6680451568","https://openalex.org/W6729573052","https://openalex.org/W6754239809","https://openalex.org/W6765726137"],"related_works":["https://openalex.org/W2377126482","https://openalex.org/W2939460163","https://openalex.org/W4312883327","https://openalex.org/W4312987116","https://openalex.org/W47045813","https://openalex.org/W4312251697","https://openalex.org/W4313128210","https://openalex.org/W4251896702","https://openalex.org/W4312814915","https://openalex.org/W2355395916"],"abstract_inverted_index":{"Estimating":[0],"grades":[1,83,170,180],"for":[2,34],"courses":[3,36],"that":[4,126,154,167],"are":[5],"yet":[6],"to":[7,98,128,144,158,177],"be":[8,129],"enrolled":[9],"by":[10,131],"students":[11],"can":[12],"help":[13],"them":[14],"in":[15,61,69,96,121,134,172,181],"making":[16],"decisions":[17],"towards":[18],"timely":[19],"graduation":[20],"and":[21,46,72,82,104,115],"achieving":[22],"better":[23],"overall":[24],"results.":[25],"This":[26],"paper":[27],"presents":[28],"an":[29,66],"evaluation":[30,92],"of":[31,65,80,102,108,185],"grade":[32,125],"prediction":[33,57,110],"future":[35,136],"using":[37,51],"the":[38,88,100,106,109,118,123,147,151,168,173,178,186],"model-based":[39],"collaborative":[40],"filtering":[41],"methods:":[42],"Probabilistic":[43,48],"Matrix":[44,49],"Factorization":[45,50],"Bayesian":[47],"Markov":[52],"Chain":[53],"Monte":[54],"Carlo.":[55],"The":[56,164],"model":[58],"was":[59],"evaluated":[60],"a":[62,70,77,132,135,142],"simulated":[63],"scenario":[64],"enrollment":[67],"cycle":[68],"winter":[71],"summer":[73],"semester,":[74],"based":[75],"on":[76],"real":[78],"data-set":[79],"enrollments":[81],"over":[84],"several":[85],"years":[86],"at":[87,161],"authors'":[89],"institution.":[90],"Several":[91],"metrics":[93],"were":[94,171],"used":[95],"order":[97],"assess":[99],"accuracy":[101],"predictions":[103],"analyze":[105],"distribution":[107],"deviation":[111],"across":[112],"study":[113],"programs":[114],"grades.":[116],"Beside":[117],"standard":[119],"approach":[120],"predicting":[122],"final":[124],"is":[127],"achieved":[130],"student":[133,148],"course,":[137,152],"we":[138],"have":[139,157],"also":[140],"devised":[141],"method":[143],"estimate":[145],"if":[146],"will":[149,156],"fail":[150],"so":[153],"he":[155],"re-enroll":[159],"it":[160],"least":[162],"once.":[163],"results":[165],"showed":[166],"predicted":[169],"range":[174],"\u00b11":[175],"compared":[176],"actual":[179],"more":[182],"than":[183],"80%":[184],"records.":[187]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}