{"id":"https://openalex.org/W4285268934","doi":"https://doi.org/10.1109/access.2022.3172438","title":"Utilizing Social Clustering-Based Regression Model for Predicting Student\u2019s GPA","display_name":"Utilizing Social Clustering-Based Regression Model for Predicting Student\u2019s GPA","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285268934","doi":"https://doi.org/10.1109/access.2022.3172438"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3172438","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3172438","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2022.3172438","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025033113","display_name":"Yomna M.I. Hassan","orcid":"https://orcid.org/0000-0002-3798-300X"},"institutions":[{"id":"https://openalex.org/I47853400","display_name":"Misr International University","ror":"https://ror.org/030vg1t69","country_code":"EG","type":"education","lineage":["https://openalex.org/I47853400"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Yomna M. I. Hassan","raw_affiliation_strings":["Faculty of Computer Sciences, Misr International University, Cairo, Egypt"],"raw_orcid":"https://orcid.org/0000-0002-3798-300X","affiliations":[{"raw_affiliation_string":"Faculty of Computer Sciences, Misr International University, Cairo, Egypt","institution_ids":["https://openalex.org/I47853400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026674783","display_name":"Abeer ElKorany","orcid":"https://orcid.org/0000-0003-3626-7850"},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Abeer Elkorany","raw_affiliation_strings":["Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt"],"raw_orcid":"https://orcid.org/0000-0003-3626-7850","affiliations":[{"raw_affiliation_string":"Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt","institution_ids":["https://openalex.org/I145487455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027622725","display_name":"Khaled Wassif","orcid":"https://orcid.org/0000-0002-7401-5219"},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Khaled Wassif","raw_affiliation_strings":["Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt"],"raw_orcid":"https://orcid.org/0000-0002-7401-5219","affiliations":[{"raw_affiliation_string":"Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt","institution_ids":["https://openalex.org/I145487455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.6247,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.91516419,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"10","issue":null,"first_page":"48948","last_page":"48963"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9993000030517578,"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":0.9993000030517578,"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/T10162","display_name":"Online and Blended Learning","score":0.9333000183105469,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7793853282928467},{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.7291384935379028},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7222768664360046},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5452154874801636},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5416131615638733},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5264250040054321},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5058731436729431},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47944512963294983},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.41470879316329956},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3851255476474762},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2310105562210083},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11318299174308777}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7793853282928467},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.7291384935379028},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7222768664360046},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5452154874801636},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5416131615638733},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5264250040054321},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5058731436729431},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47944512963294983},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.41470879316329956},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3851255476474762},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2310105562210083},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11318299174308777},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3172438","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3172438","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:31d85328efb64b799ae23fe4dc5d4b33","is_oa":true,"landing_page_url":"https://doaj.org/article/31d85328efb64b799ae23fe4dc5d4b33","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 48948-48963 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3172438","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3172438","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":110,"referenced_works":["https://openalex.org/W390771207","https://openalex.org/W797456421","https://openalex.org/W1493797441","https://openalex.org/W1496853860","https://openalex.org/W1557121730","https://openalex.org/W1580699642","https://openalex.org/W1827160859","https://openalex.org/W2022466128","https://openalex.org/W2024722430","https://openalex.org/W2063978378","https://openalex.org/W2065564478","https://openalex.org/W2078609471","https://openalex.org/W2107092366","https://openalex.org/W2126641241","https://openalex.org/W2130005184","https://openalex.org/W2132228451","https://openalex.org/W2132322340","https://openalex.org/W2139339877","https://openalex.org/W2141830387","https://openalex.org/W2156567116","https://openalex.org/W2159877036","https://openalex.org/W2200755262","https://openalex.org/W2239034455","https://openalex.org/W2255539840","https://openalex.org/W2346388159","https://openalex.org/W2408821405","https://openalex.org/W2472010812","https://openalex.org/W2495025701","https://openalex.org/W2517889164","https://openalex.org/W2586678164","https://openalex.org/W2605296821","https://openalex.org/W2612059685","https://openalex.org/W2730825760","https://openalex.org/W2734326504","https://openalex.org/W2751175149","https://openalex.org/W2755104540","https://openalex.org/W2755491670","https://openalex.org/W2769342982","https://openalex.org/W2771048525","https://openalex.org/W2788433595","https://openalex.org/W2790455619","https://openalex.org/W2792002226","https://openalex.org/W2802880928","https://openalex.org/W2808990700","https://openalex.org/W2885849299","https://openalex.org/W2887833224","https://openalex.org/W2889975280","https://openalex.org/W2891483199","https://openalex.org/W2896500548","https://openalex.org/W2902204108","https://openalex.org/W2909329017","https://openalex.org/W2910327041","https://openalex.org/W2936179098","https://openalex.org/W2943560158","https://openalex.org/W2944425538","https://openalex.org/W2944775932","https://openalex.org/W2950348447","https://openalex.org/W2954464729","https://openalex.org/W2972761328","https://openalex.org/W2973117219","https://openalex.org/W2981004775","https://openalex.org/W2990636069","https://openalex.org/W3012126397","https://openalex.org/W3013448230","https://openalex.org/W3013692727","https://openalex.org/W3018063079","https://openalex.org/W3021058087","https://openalex.org/W3031354959","https://openalex.org/W3037628497","https://openalex.org/W3039352388","https://openalex.org/W3044841828","https://openalex.org/W3081367520","https://openalex.org/W3083354488","https://openalex.org/W3087473727","https://openalex.org/W3089047962","https://openalex.org/W3094843583","https://openalex.org/W3101541083","https://openalex.org/W3103021774","https://openalex.org/W3113225211","https://openalex.org/W3115495034","https://openalex.org/W3117756155","https://openalex.org/W3119538385","https://openalex.org/W3120229318","https://openalex.org/W3135311950","https://openalex.org/W3159464177","https://openalex.org/W3175745833","https://openalex.org/W3184360216","https://openalex.org/W3184676642","https://openalex.org/W3197101904","https://openalex.org/W3204653595","https://openalex.org/W3207314551","https://openalex.org/W3214630119","https://openalex.org/W4200212632","https://openalex.org/W4205895592","https://openalex.org/W4206423468","https://openalex.org/W4211015534","https://openalex.org/W4214766447","https://openalex.org/W4237262729","https://openalex.org/W4244230525","https://openalex.org/W4252208101","https://openalex.org/W4294541781","https://openalex.org/W4300007151","https://openalex.org/W6689524364","https://openalex.org/W6740285305","https://openalex.org/W6746558292","https://openalex.org/W6748082136","https://openalex.org/W6779983881","https://openalex.org/W6779988842","https://openalex.org/W6782994514","https://openalex.org/W6791040408"],"related_works":["https://openalex.org/W3174196512","https://openalex.org/W2762277149","https://openalex.org/W3129804828","https://openalex.org/W4283697347","https://openalex.org/W2371621356","https://openalex.org/W4318350883","https://openalex.org/W4223958832","https://openalex.org/W4362670612","https://openalex.org/W4200341517","https://openalex.org/W2130434665"],"abstract_inverted_index":{"The":[0,126],"importance":[1],"of":[2,46,54,101,167,181,204],"e-learning":[3],"has":[4,39],"exceeded":[5],"expectations":[6],"over":[7],"the":[8,44,55,67,80,84,92,97,102,172,176,179,197,202,205],"past":[9],"decade.":[10],"Accordingly,":[11],"several":[12],"systems":[13],"have":[14],"been":[15],"developed":[16],"in":[17],"completing":[18],"intelligent":[19],"assistive":[20],"tools":[21],"where":[22],"students\u2019":[23,35,76,138],"behavior":[24],"can":[25],"be":[26],"tracked":[27],"and":[28,99,133,153,162],"followed":[29],"with":[30,123,156,196],"suitable":[31],"recommendations":[32],"to":[33,61,70,83,175],"enhance":[34],"performance.":[36],"This":[37],"paper":[38],"two":[40],"main":[41],"objectives.":[42],"First,":[43],"Community":[45],"Inquiry":[47],"framework":[48],"(CoI)":[49],"is":[50],"utilized":[51],"as":[52,149],"one":[53],"most":[56],"prominent":[57],"student":[58,121],"behavioral":[59],"modeling":[60],"select":[62],"features":[63,173,182],"that":[64,113,142],"best":[65],"represent":[66],"students.":[68],"According":[69],"experts\u2019":[71],"annotation,":[72],"this":[73],"study":[74],"filters":[75],"measured":[77],"attributes":[78],"from":[79],"StudentLife":[81],"dataset":[82],"CoI":[85,177],"model,":[86],"focusing":[87],"on":[88,120,130,187],"social":[89],"presence.":[90],"Second,":[91],"research":[93],"looks":[94],"at":[95],"improving":[96],"accuracy":[98],"runtime":[100],"Grade":[103],"Point":[104],"Average":[105],"(GPA)":[106],"prediction":[107],"by":[108,183,208],"introducing":[109],"a":[110],"hybrid":[111],"model":[112,206],"combines":[114],"combining":[115],"k-means":[116],"clustering":[117,127,186],"phase":[118],"based":[119],"similarity":[122],"regression-based":[124],"prediction.":[125],"was":[128,190],"performed":[129],"both":[131],"static":[132],"Spatio-temporal":[134],"(spatial":[135],"time":[136],"-series)":[137],"attributes.":[139],"Results":[140],"show":[141],"LassoCV":[143],"outperforms":[144],"other":[145],"regression":[146],"techniques":[147],"such":[148],"Standard":[150],"Linear,":[151],"Lasso,":[152],"Ridge":[154],"Regression":[155],"an":[157,163],"RMSE":[158],"averaged":[159],"around":[160],"0.15":[161],"average":[164],"Adjusted":[165],"R2":[166],"0.935":[168],"overall":[169],"trials.":[170],"Selecting":[171],"according":[174],"reduces":[178],"number":[180],"62.8%.":[184],"Time-series":[185],"its":[188],"own":[189],"not":[191],"beneficial;":[192],"however,":[193],"when":[194],"conducted":[195],"selection":[198],"phase,":[199],"it":[200],"raised":[201],"quality":[203],"achieved":[207],"2-3%.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}