{"id":"https://openalex.org/W4280548030","doi":"https://doi.org/10.3390/e24050722","title":"E-Learning Performance Prediction: Mining the Feature Space of Effective Learning Behavior","display_name":"E-Learning Performance Prediction: Mining the Feature Space of Effective Learning Behavior","publication_year":2022,"publication_date":"2022-05-19","ids":{"openalex":"https://openalex.org/W4280548030","doi":"https://doi.org/10.3390/e24050722","pmid":"https://pubmed.ncbi.nlm.nih.gov/35626605"},"language":"en","primary_location":{"id":"doi:10.3390/e24050722","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24050722","pdf_url":"https://www.mdpi.com/1099-4300/24/5/722/pdf?version=1652939606","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/24/5/722/pdf?version=1652939606","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057258723","display_name":"Feiyue Qiu","orcid":"https://orcid.org/0000-0001-8084-6759"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiyue Qiu","raw_affiliation_strings":["College of Education, Zhejiang University of Technology, Hangzhou 310023, China"],"raw_orcid":"https://orcid.org/0000-0001-8084-6759","affiliations":[{"raw_affiliation_string":"College of Education, Zhejiang University of Technology, Hangzhou 310023, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017661259","display_name":"Lijia Zhu","orcid":"https://orcid.org/0000-0001-9045-0635"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijia Zhu","raw_affiliation_strings":["College of Education, Zhejiang University of Technology, Hangzhou 310023, China"],"raw_orcid":"https://orcid.org/0000-0001-9045-0635","affiliations":[{"raw_affiliation_string":"College of Education, Zhejiang University of Technology, Hangzhou 310023, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026381160","display_name":"Guodao Zhang","orcid":"https://orcid.org/0000-0002-6264-5854"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]},{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guodao Zhang","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China","Department of Digital Media Technology, Hangzhou Dianzi University, Hangzhou 310018, China"],"raw_orcid":"https://orcid.org/0000-0002-6264-5854","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"Department of Digital Media Technology, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009504404","display_name":"Xin Sheng","orcid":"https://orcid.org/0000-0002-8462-6849"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Sheng","raw_affiliation_strings":["College of Education, Zhejiang University of Technology, Hangzhou 310023, China"],"raw_orcid":"https://orcid.org/0000-0002-8462-6849","affiliations":[{"raw_affiliation_string":"College of Education, Zhejiang University of Technology, Hangzhou 310023, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032648748","display_name":"Mingtao Ye","orcid":"https://orcid.org/0000-0002-7770-3957"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingtao Ye","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China"],"raw_orcid":"https://orcid.org/0000-0002-7770-3957","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080173325","display_name":"Qifeng Xiang","orcid":"https://orcid.org/0000-0003-4976-8494"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qifeng Xiang","raw_affiliation_strings":["College of Education, Zhejiang University of Technology, Hangzhou 310023, China"],"raw_orcid":"https://orcid.org/0000-0003-4976-8494","affiliations":[{"raw_affiliation_string":"College of Education, Zhejiang University of Technology, Hangzhou 310023, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027859343","display_name":"Ping\u2010Kuo Chen","orcid":"https://orcid.org/0000-0003-1373-396X"},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ping-Kuo Chen","raw_affiliation_strings":["Business School, Shantou University, Shantou 515000, China"],"raw_orcid":"https://orcid.org/0000-0003-1373-396X","affiliations":[{"raw_affiliation_string":"Business School, Shantou University, Shantou 515000, China","institution_ids":["https://openalex.org/I32574673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026381160","https://openalex.org/A5027859343"],"corresponding_institution_ids":["https://openalex.org/I32574673","https://openalex.org/I50760025","https://openalex.org/I55712492"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2227},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2227},"fwci":4.4143,"has_fulltext":true,"cited_by_count":25,"citation_normalized_percentile":{"value":0.94762696,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"24","issue":"5","first_page":"722","last_page":"722"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9825000166893005,"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"}},{"id":"https://openalex.org/T14246","display_name":"E-Learning and Knowledge Management","score":0.9470999836921692,"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/machine-learning","display_name":"Machine learning","score":0.7165433764457703},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6866229176521301},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6699496507644653},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5201725959777832},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.45517826080322266},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.44207072257995605},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.4264023005962372},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.4262917637825012},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4131714403629303},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12195387482643127},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09940066933631897},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.08532306551933289}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7165433764457703},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6866229176521301},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6699496507644653},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5201725959777832},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.45517826080322266},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.44207072257995605},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.4264023005962372},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.4262917637825012},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4131714403629303},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12195387482643127},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09940066933631897},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.08532306551933289},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e24050722","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24050722","pdf_url":"https://www.mdpi.com/1099-4300/24/5/722/pdf?version=1652939606","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:35626605","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35626605","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:38042cb1dbfb49438669761b969a8b4a","is_oa":true,"landing_page_url":"https://doaj.org/article/38042cb1dbfb49438669761b969a8b4a","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":"Entropy, Vol 24, Iss 5, p 722 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/24/5/722/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e24050722","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy; Volume 24; Issue 5; Pages: 722","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9140884","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9140884","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e24050722","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24050722","pdf_url":"https://www.mdpi.com/1099-4300/24/5/722/pdf?version=1652939606","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1346590817","display_name":null,"funder_award_id":"2018C01080","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5047669214","display_name":null,"funder_award_id":"71872131","funder_id":"https://openalex.org/F4320338469","funder_display_name":"Science and Technology Program of Zhejiang Province"},{"id":"https://openalex.org/G8931139822","display_name":"\u533a\u5757\u94fe\u4e0b\u7684\u8de8\u56fd\u4f9b\u5e94\u94fe\u5408\u4f5c\u98ce\u9669\u8bc4\u4ef7\u4e0e\u9884\u8b66\u673a\u5236\u7814\u7a76","funder_award_id":"71872131","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G953098600","display_name":null,"funder_award_id":"2018C01080","funder_id":"https://openalex.org/F4320338469","funder_display_name":"Science and Technology Program of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320310972","display_name":"Shantou University","ror":"https://ror.org/01a099706"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338469","display_name":"Science and Technology Program of Zhejiang Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4280548030.pdf","grobid_xml":"https://content.openalex.org/works/W4280548030.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1951228191","https://openalex.org/W1989052356","https://openalex.org/W2045256553","https://openalex.org/W2085760745","https://openalex.org/W2085970550","https://openalex.org/W2104836915","https://openalex.org/W2130695501","https://openalex.org/W2143959207","https://openalex.org/W2153378020","https://openalex.org/W2196907121","https://openalex.org/W2228649217","https://openalex.org/W2238418303","https://openalex.org/W2412453891","https://openalex.org/W2518782678","https://openalex.org/W2533014371","https://openalex.org/W2586955972","https://openalex.org/W2601347191","https://openalex.org/W2787299695","https://openalex.org/W2794802448","https://openalex.org/W2803932126","https://openalex.org/W2891857646","https://openalex.org/W2898172420","https://openalex.org/W2912201209","https://openalex.org/W2957007523","https://openalex.org/W2965839620","https://openalex.org/W2970787375","https://openalex.org/W2982463400","https://openalex.org/W2994613842","https://openalex.org/W3006432334","https://openalex.org/W3012398293","https://openalex.org/W3035905514","https://openalex.org/W3042071846","https://openalex.org/W3043370102","https://openalex.org/W3084314056","https://openalex.org/W3132859330","https://openalex.org/W4206157917","https://openalex.org/W6672148295","https://openalex.org/W6683432113","https://openalex.org/W6690169685"],"related_works":["https://openalex.org/W3147584709","https://openalex.org/W2977677679","https://openalex.org/W1992327129","https://openalex.org/W2803309984","https://openalex.org/W2963872552","https://openalex.org/W2381986121","https://openalex.org/W2370918718","https://openalex.org/W2237537322","https://openalex.org/W2898649268","https://openalex.org/W4289752279"],"abstract_inverted_index":{"Learning":[0,191],"analysis":[1],"provides":[2,281],"a":[3,41,45,102,133,173,180,277],"new":[4,278],"opportunity":[5],"for":[6,285],"the":[7,49,64,69,79,88,115,124,127,153,187,196,207,222,232,244,247,252,272],"development":[8],"of":[9,51,126,217,246,255],"online":[10,286],"education,":[11],"and":[12,21,27,36,76,92,121,147,163,172,212,251,258,270,280,288],"has":[13,221],"received":[14],"extensive":[15],"attention":[16],"from":[17,276],"scholars":[18,57],"at":[19],"home":[20],"abroad.":[22],"How":[23],"to":[24,29,62,86,113,178],"use":[25,58],"data":[26,75],"models":[28],"predict":[30],"learners'":[31],"academic":[32],"success":[33],"or":[34],"failure":[35],"give":[37],"teaching":[38],"feedback":[39],"in":[40,48,95,238],"timely":[42],"manner":[43],"is":[44,83,150,156,203,229],"core":[46],"problem":[47],"field":[50],"learning":[52,60,73,96,109,128,148,181,218,226,248],"analytics.":[53],"At":[54,78],"present,":[55],"many":[56],"key":[59],"behaviors":[61],"improve":[63,123,243],"prediction":[65,93,130],"effect":[66],"by":[67,159],"exploring":[68],"implicit":[70],"relationship":[71],"between":[72,90],"behavior":[74,97,110,118,134,210,215,219],"grades.":[77],"same":[80],"time,":[81],"it":[82,228],"very":[84],"important":[85],"explore":[87],"association":[89],"categories":[91],"effects":[94],"classification.":[98],"This":[99,264],"paper":[100,240],"proposes":[101],"self-adaptive":[103,174,233],"feature":[104,119,154,175,201,234,274],"fusion":[105,176,235],"strategy":[106,177,236],"based":[107,143],"on":[108,144],"classification,":[111],"aiming":[112],"mine":[114],"effective":[116,200,273],"E-learning":[117,267],"space":[120,155,202,275],"further":[122],"performance":[125,129,182,245,249,253,268],"model.":[131],"First,":[132],"classification":[135],"model":[136],"(E-learning":[137],"Behavior":[138],"Classification":[139],"Model,":[140],"EBC":[141,170],"Model)":[142],"interaction":[145,214],"objects":[146],"process":[149],"constructed;":[151],"second,":[152],"preliminarily":[157],"reduced":[158],"entropy":[160],"weight":[161],"method":[162],"variance":[164],"filtering":[165],"method;":[166],"finally,":[167],"combined":[168],"with":[169,225],"Model":[171],"build":[179],"predictor.":[183],"The":[184],"experiment":[185],"uses":[186],"British":[188],"Open":[189],"University":[190],"Analysis":[192],"Dataset":[193],"(OULAD).":[194],"Through":[195],"experimental":[197],"analysis,":[198],"an":[199],"obtained,":[204],"that":[205,231],"is,":[206],"basic":[208],"interactive":[209],"(BI)":[211],"knowledge":[213],"(KI)":[216],"category":[220],"strongest":[223],"correlation":[224],"performance.And":[227],"proved":[230],"proposed":[237],"this":[239],"can":[241],"effectively":[242],"predictor,":[250],"index":[254],"accuracy(ACC),":[256],"F1-score(F1)":[257],"kappa(K)":[259],"reach":[260],"98.44%,":[261],"0.9893,":[262],"0.9600.":[263],"study":[265],"constructs":[266],"predictors":[269],"mines":[271],"perspective,":[279],"some":[282],"auxiliary":[283],"references":[284],"learners":[287],"managers.":[289]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
