{"id":"https://openalex.org/W3090741237","doi":"https://doi.org/10.3390/educsci10100270","title":"The Factors Affecting Acceptance of E-Learning: A Machine Learning Algorithm Approach","display_name":"The Factors Affecting Acceptance of E-Learning: A Machine Learning Algorithm Approach","publication_year":2020,"publication_date":"2020-09-30","ids":{"openalex":"https://openalex.org/W3090741237","doi":"https://doi.org/10.3390/educsci10100270","mag":"3090741237"},"language":"en","primary_location":{"id":"doi:10.3390/educsci10100270","doi":"https://doi.org/10.3390/educsci10100270","is_oa":true,"landing_page_url":"https://doi.org/10.3390/educsci10100270","pdf_url":"https://www.mdpi.com/2227-7102/10/10/270/pdf?version=1601455027","source":{"id":"https://openalex.org/S2738008561","display_name":"Education Sciences","issn_l":"2227-7102","issn":["2227-7102"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","erih-plus","norway-1","poland-70","russia-white-list-1","vabb-shw"],"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":"Education Sciences","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W3090741237"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2227-7102/10/10/270/pdf?version=1601455027","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033804526","display_name":"Dang-Nhac Lu","orcid":"https://orcid.org/0000-0001-6080-4527","observed_orcids":["https://orcid.org/0000-0001-6080-4527"]},"institutions":[{"id":"https://openalex.org/I4405277814","display_name":"H\u1ecdc vi\u1ec7n B\u00e1o ch\u00ed v\u00e0 Tuy\u00ean truy\u1ec1n","ror":"https://ror.org/03zwxvq16","country_code":"VN","type":"education","lineage":["https://openalex.org/I4405277814"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Dang-Nhac Lu","raw_affiliation_strings":["Academy of Journalism and Communication, 36 Xuan Thuy Street, Cau Giay District, Hanoi 123105, Vietnam"],"raw_orcid":"https://orcid.org/0000-0001-6080-4527","affiliations":[{"raw_affiliation_string":"Academy of Journalism and Communication, 36 Xuan Thuy Street, Cau Giay District, Hanoi 123105, Vietnam","institution_ids":["https://openalex.org/I4405277814"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022728286","display_name":"Hong-Quang Le","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405277814","display_name":"H\u1ecdc vi\u1ec7n B\u00e1o ch\u00ed v\u00e0 Tuy\u00ean truy\u1ec1n","ror":"https://ror.org/03zwxvq16","country_code":"VN","type":"education","lineage":["https://openalex.org/I4405277814"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Hong-Quang Le","raw_affiliation_strings":["Academy of Journalism and Communication, 36 Xuan Thuy Street, Cau Giay District, Hanoi 123105, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy of Journalism and Communication, 36 Xuan Thuy Street, Cau Giay District, Hanoi 123105, Vietnam","institution_ids":["https://openalex.org/I4405277814"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044946085","display_name":"Tuan-Ha Vu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405277814","display_name":"H\u1ecdc vi\u1ec7n B\u00e1o ch\u00ed v\u00e0 Tuy\u00ean truy\u1ec1n","ror":"https://ror.org/03zwxvq16","country_code":"VN","type":"education","lineage":["https://openalex.org/I4405277814"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Tuan-Ha Vu","raw_affiliation_strings":["Academy of Journalism and Communication, 36 Xuan Thuy Street, Cau Giay District, Hanoi 123105, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy of Journalism and Communication, 36 Xuan Thuy Street, Cau Giay District, Hanoi 123105, Vietnam","institution_ids":["https://openalex.org/I4405277814"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5022728286","https://openalex.org/A5033804526","https://openalex.org/A5044946085"],"corresponding_institution_ids":["https://openalex.org/I4405277814"],"apc_list":{"value":1000,"currency":"CHF","value_usd":1056},"apc_paid":{"value":1000,"currency":"CHF","value_usd":1056},"fwci":5.0,"has_fulltext":true,"cited_by_count":43,"citation_normalized_percentile":{"value":0.94563132,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"10","issue":"10","first_page":"270","last_page":"270"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.70169997215271,"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":0.70169997215271,"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":0.1445000022649765,"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/T14182","display_name":"Technology-Enhanced Education Studies","score":0.05660000070929527,"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/e-learning-acceptance","display_name":"e-learning acceptance","score":0.871999979019165},{"id":"https://openalex.org/keywords/e-learning","display_name":"online learning","score":0.8539999723434448},{"id":"https://openalex.org/keywords/blended-learning","display_name":"blended learning","score":0.9929999709129333},{"id":"https://openalex.org/keywords/face-to-face-learning","display_name":"face-to-face learning","score":0.777999997138977},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"K-means clustering","score":0.8460000157356262},{"id":"https://openalex.org/keywords/feature-importance","display_name":"feature importance","score":0.44999998807907104},{"id":"https://openalex.org/keywords/learning-infrastructure","display_name":"learning infrastructure","score":0.5360000133514404},{"id":"https://openalex.org/keywords/teacher-related-factors","display_name":"teacher factors","score":0.6430000066757202},{"id":"https://openalex.org/keywords/covid-19-pandemic-impact-on-higher-education","display_name":"COVID-19 pandemic impact on higher education","score":0.7620000243186951},{"id":"https://openalex.org/keywords/machine-learning-classification","display_name":"machine learning classification","score":0.6190000176429749}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6926770806312561},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6527290344238281},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6309769749641418},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.589144229888916},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5558762550354004},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4957490861415863},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4245016872882843},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41197001934051514},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38914769887924194}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/educsci10100270","doi":"https://doi.org/10.3390/educsci10100270","is_oa":true,"landing_page_url":"https://doi.org/10.3390/educsci10100270","pdf_url":"https://www.mdpi.com/2227-7102/10/10/270/pdf?version=1601455027","source":{"id":"https://openalex.org/S2738008561","display_name":"Education Sciences","issn_l":"2227-7102","issn":["2227-7102"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","erih-plus","norway-1","poland-70","russia-white-list-1","vabb-shw"],"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":"Education Sciences","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bdbc9432cc1b49ada757a253fd9d084d","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/bdbc9432cc1b49ada757a253fd9d084d","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,"listed_in":[],"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":"Education Sciences, Vol 10, Iss 10, p 270 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/educsci10100270","doi":"https://doi.org/10.3390/educsci10100270","is_oa":true,"landing_page_url":"https://doi.org/10.3390/educsci10100270","pdf_url":"https://www.mdpi.com/2227-7102/10/10/270/pdf?version=1601455027","source":{"id":"https://openalex.org/S2738008561","display_name":"Education Sciences","issn_l":"2227-7102","issn":["2227-7102"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","erih-plus","norway-1","poland-70","russia-white-list-1","vabb-shw"],"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":"Education Sciences","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality education","score":0.9901999831199646}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3090741237.pdf","grobid_xml":"https://content.openalex.org/works/W3090741237.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W173329933","https://openalex.org/W1680797894","https://openalex.org/W1820154741","https://openalex.org/W2254629858","https://openalex.org/W2464186230","https://openalex.org/W2504919575","https://openalex.org/W2582366123","https://openalex.org/W2739573821","https://openalex.org/W2765388454","https://openalex.org/W2795108508","https://openalex.org/W2888806208","https://openalex.org/W2922068527","https://openalex.org/W2943120267","https://openalex.org/W2952380632","https://openalex.org/W2972209519","https://openalex.org/W2974964651","https://openalex.org/W2980609755","https://openalex.org/W2982574146","https://openalex.org/W2997916679","https://openalex.org/W3001940038","https://openalex.org/W3019170348","https://openalex.org/W3023473905","https://openalex.org/W3026875471","https://openalex.org/W3042009104"],"related_works":["https://openalex.org/W4411805421","https://openalex.org/W3123097336","https://openalex.org/W4391388698","https://openalex.org/W4281678794","https://openalex.org/W4390044762","https://openalex.org/W4381744786","https://openalex.org/W4362686208","https://openalex.org/W7216995111","https://openalex.org/W3016007887","https://openalex.org/W7220879816"],"abstract_inverted_index":{"The":[0,176,207],"Covid-19":[1],"epidemic":[2],"is":[3,23,32,81,111,169,200,273],"affecting":[4],"all":[5,39],"areas":[6],"of":[7,13,61,79,97,101,114,134,157,223,243,251,260],"life,":[8],"including":[9],"the":[10,16,19,28,59,77,99,105,116,127,132,141,144,158,181,204,221,233,240,255,258,261],"training":[11,40],"activities":[12],"universities":[14,87],"around":[15],"world.":[17],"Therefore,":[18,58],"online":[20,51],"learning":[21,70,159,271],"method":[22,26,96,179,272],"an":[24,269],"effective":[25],"in":[27,54,71,140],"present":[29],"time":[30],"and":[31,46,118,174,196,225,246],"used":[33],"by":[34,85],"many":[35,86],"universities.":[36],"However,":[37],"not":[38],"institutions":[41],"have":[42,137],"sufficient":[43],"conditions,":[44],"resources,":[45],"experience":[47],"to":[48,65,151,154,202,267,275],"carry":[49],"out":[50],"learning,":[52,167],"especially":[53],"under-resourced":[55],"developing":[56],"countries.":[57],"construction":[60,120],"traditional":[62],"courses":[63],"(face":[64],"face),":[66],"e-learning,":[67],"or":[68,165],"blended":[69,166],"limited":[72],"conditions":[73],"that":[74],"still":[75],"meet":[76],"needs":[78],"students":[80,135,153,218,266],"a":[82,95,112,149],"problem":[83],"faced":[84],"today.":[88],"To":[89],"solve":[90],"this":[91],"problem,":[92],"we":[93,147],"propose":[94,148],"evaluating":[98],"influence":[100],"these":[102,252],"factors":[103],"on":[104,126,211],"e-learning":[106,164],"system.":[107,142],"From":[108],"there,":[109],"it":[110],"matter":[113],"clarifying":[115],"importance":[117],"prioritizing":[119],"investment":[121],"for":[122,171,239],"each":[123],"factor":[124],"based":[125],"K-means":[128],"clustering":[129],"algorithm,":[130],"using":[131],"data":[133,177,213],"who":[136],"been":[138],"participating":[139],"At":[143,254],"same":[145,256],"time,":[146,257],"model":[150,205],"support":[152,192],"choose":[155,268],"one":[156],"methods,":[160],"such":[161],"as":[162,249],"traditional,":[163],"which":[168,264],"suitable":[170],"their":[172],"skills":[173],"abilities.":[175],"classification":[178],"with":[180],"algorithms":[182],"multilayer":[183],"perceptron":[184],"(MP),":[185],"random":[186],"forest":[187],"(RF),":[188],"K-nearest":[189],"neighbor":[190],"(KNN),":[191],"vector":[193],"machine":[194],"(SVM)":[195],"na\u00efve":[197],"bayes":[198],"(NB)":[199],"applied":[201],"find":[203],"fit.":[206],"experiment":[208],"was":[209],"conducted":[210],"679":[212],"samples":[214],"collected":[215],"from":[216,237],"303":[217],"studying":[219],"at":[220],"Academy":[222],"Journalism":[224],"Communication":[226],"(AJC),":[227],"Vietnam.":[228],"With":[229],"our":[230],"proposed":[231],"method,":[232],"results":[234,263],"are":[235],"obtained":[236],"experimentation":[238],"different":[241],"effects":[242],"infrastructure,":[244],"teachers,":[245],"courses,":[247],"also":[248],"features":[250],"factors.":[253],"accuracy":[259],"prediction":[262],"help":[265],"appropriate":[270],"up":[274],"81.52%.":[276]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2020-10-08T00:00:00"}