{"id":"https://openalex.org/W4390280316","doi":"https://doi.org/10.1145/3626641.3626674","title":"The Two Types of Module Access Patterns in LMS and Their Correlation with the Students' Evaluation","display_name":"The Two Types of Module Access Patterns in LMS and Their Correlation with the Students' Evaluation","publication_year":2023,"publication_date":"2023-10-24","ids":{"openalex":"https://openalex.org/W4390280316","doi":"https://doi.org/10.1145/3626641.3626674"},"language":"en","primary_location":{"id":"doi:10.1145/3626641.3626674","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3626641.3626674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Sustainable Information Engineering and Technology","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/The_Two_Types_of_Module_Access_Patterns_in_LMS_and_Their_Correlation_with_the_Students_Evaluation/26933245","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016647306","display_name":"Nanang Yudi Setiawan","orcid":"https://orcid.org/0000-0001-8715-179X"},"institutions":[{"id":"https://openalex.org/I177055848","display_name":"University of Brawijaya","ror":"https://ror.org/01wk3d929","country_code":"ID","type":"education","lineage":["https://openalex.org/I177055848"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Nanang Yudi Setiawan","raw_affiliation_strings":["Faculty of Computer Science, Universitas Brawijaya, Indonesia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, Universitas Brawijaya, Indonesia","institution_ids":["https://openalex.org/I177055848"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022512041","display_name":"Diah Priharsari","orcid":"https://orcid.org/0000-0001-9771-295X"},"institutions":[{"id":"https://openalex.org/I177055848","display_name":"University of Brawijaya","ror":"https://ror.org/01wk3d929","country_code":"ID","type":"education","lineage":["https://openalex.org/I177055848"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Diah Priharsari","raw_affiliation_strings":["Faculty of Computer Science, Universitas Brawijaya, Indonesia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, Universitas Brawijaya, Indonesia","institution_ids":["https://openalex.org/I177055848"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073807028","display_name":"Bondan Sapta Prakoso","orcid":"https://orcid.org/0009-0005-8497-9838"},"institutions":[{"id":"https://openalex.org/I177055848","display_name":"University of Brawijaya","ror":"https://ror.org/01wk3d929","country_code":"ID","type":"education","lineage":["https://openalex.org/I177055848"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Bondan Sapta Prakoso","raw_affiliation_strings":["Faculty of Computer Science, Universitas Brawijaya, Indonesia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, Universitas Brawijaya, Indonesia","institution_ids":["https://openalex.org/I177055848"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038400283","display_name":"Yusi Tyroni Mursityo","orcid":"https://orcid.org/0000-0002-9270-0885"},"institutions":[{"id":"https://openalex.org/I177055848","display_name":"University of Brawijaya","ror":"https://ror.org/01wk3d929","country_code":"ID","type":"education","lineage":["https://openalex.org/I177055848"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Yusi Tyroni Mursityo","raw_affiliation_strings":["Faculty of Computer Science, Universitas Brawijaya, Indonesia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, Universitas Brawijaya, Indonesia","institution_ids":["https://openalex.org/I177055848"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5016647306"],"corresponding_institution_ids":["https://openalex.org/I177055848"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20109553,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"332","last_page":"339"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9972000122070312,"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":0.9972000122070312,"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":0.9817000031471252,"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":0.9745000004768372,"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":0.6833150386810303},{"id":"https://openalex.org/keywords/learning-management","display_name":"Learning Management","score":0.680801510810852},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.6078773140907288},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.5367276668548584},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4884609282016754},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.46972429752349854},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44978392124176025},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.43168947100639343},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3958209156990051},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3867643475532532},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3319804072380066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2747873067855835},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10735005140304565}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6833150386810303},{"id":"https://openalex.org/C2779114481","wikidata":"https://www.wikidata.org/wiki/Q6510117","display_name":"Learning Management","level":2,"score":0.680801510810852},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.6078773140907288},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.5367276668548584},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4884609282016754},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.46972429752349854},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44978392124176025},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.43168947100639343},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3958209156990051},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3867643475532532},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3319804072380066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2747873067855835},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10735005140304565},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3626641.3626674","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3626641.3626674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Sustainable Information Engineering and Technology","raw_type":"proceedings-article"},{"id":"pmh:oai:figshare.com:article/26933245","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/The_Two_Types_of_Module_Access_Patterns_in_LMS_and_Their_Correlation_with_the_Students_Evaluation/26933245","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/26933245","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/The_Two_Types_of_Module_Access_Patterns_in_LMS_and_Their_Correlation_with_the_Students_Evaluation/26933245","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"","raw_type":"Text"},"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W66925152","https://openalex.org/W141821862","https://openalex.org/W172321832","https://openalex.org/W1866663341","https://openalex.org/W1920895891","https://openalex.org/W2108183197","https://openalex.org/W2503288504","https://openalex.org/W2559068728","https://openalex.org/W2757875814","https://openalex.org/W2891618373","https://openalex.org/W2947300670","https://openalex.org/W2953887968","https://openalex.org/W2955549133","https://openalex.org/W2968098780","https://openalex.org/W2998397704","https://openalex.org/W3006141068","https://openalex.org/W3209200483"],"related_works":["https://openalex.org/W2372194214","https://openalex.org/W3081640970","https://openalex.org/W4200439127","https://openalex.org/W2021013714","https://openalex.org/W2412250669","https://openalex.org/W2359856669","https://openalex.org/W2023979854","https://openalex.org/W2078603735","https://openalex.org/W1488551807","https://openalex.org/W2560331580"],"abstract_inverted_index":{"The":[0],"Learning":[1],"Management":[2],"System":[3],"(LMS)":[4],"is":[5,33,79],"software":[6],"specifically":[7],"designed":[8],"to":[9,53,69,128,136],"create,":[10],"distribute,":[11],"and":[12,29,43,59],"manage":[13],"the":[14,55,94,107,116],"delivery":[15],"of":[16,72,96,112],"educational":[17],"content.":[18],"Current":[19],"studies":[20],"have":[21],"reported":[22],"various":[23],"findings":[24],"on":[25,115],"students\u2019":[26,63],"LMS":[27,42],"activities":[28],"evaluations.":[30],"However,":[31],"less":[32],"known":[34],"about":[35],"how":[36],"students":[37,122],"access":[38,57,129],"available":[39],"modules":[40],"in":[41],"its":[44],"relationships":[45],"with":[46,62,86,101,106],"their":[47,60],"performance.":[48],"Therefore,":[49],"this":[50],"study":[51,91],"aimed":[52],"depict":[54],"module":[56,133],"patterns":[58],"correlation":[61],"evaluation.":[64],"We":[65],"used":[66],"data":[67,71],"mining":[68,84],"group":[70],"learning":[73],"achievements":[74],"into":[75,103],"clusters.":[76],"Each":[77],"profile":[78],"traced":[80],"through":[81],"a":[82,87,130],"process":[83],"approach":[85],"heuristic":[88],"miner.":[89],"This":[90],"has":[92],"completed":[93],"extraction":[95],"2447":[97],"trainee":[98],"evaluations,":[99],"grouped":[100],"K-Mean":[102],"2":[104],"clusters":[105],"highest":[108],"Silhouette":[109],"Coefficient":[110],"value":[111],"0.844.":[113],"Based":[114],"research,":[117],"it":[118],"was":[119],"found":[120],"that":[121],"who":[123,138],"receive":[124,139],"high":[125],"grades":[126],"tend":[127],"more":[131],"complex":[132],"system":[134],"compared":[135],"those":[137],"lower":[140],"grades.":[141]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
