{"id":"https://openalex.org/W2999076755","doi":"https://doi.org/10.1186/s40561-019-0112-3","title":"Role of absence in academic success: an analysis using visualization tools","display_name":"Role of absence in academic success: an analysis using visualization tools","publication_year":2020,"publication_date":"2020-01-07","ids":{"openalex":"https://openalex.org/W2999076755","doi":"https://doi.org/10.1186/s40561-019-0112-3","mag":"2999076755"},"language":"en","primary_location":{"id":"doi:10.1186/s40561-019-0112-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40561-019-0112-3","pdf_url":"https://slejournal.springeropen.com/track/pdf/10.1186/s40561-019-0112-3","source":{"id":"https://openalex.org/S2494786546","display_name":"Smart Learning Environments","issn_l":"2196-7091","issn":["2196-7091"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Smart Learning Environments","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://slejournal.springeropen.com/track/pdf/10.1186/s40561-019-0112-3","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011856599","display_name":"Ronak Etemadpour","orcid":"https://orcid.org/0000-0003-1842-367X"},"institutions":[{"id":"https://openalex.org/I125687163","display_name":"City College of New York","ror":"https://ror.org/00wmhkr98","country_code":"US","type":"education","lineage":["https://openalex.org/I125687163"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ronak Etemadpour","raw_affiliation_strings":["Computer Science, City College of New York, CUNY, 160 Convent Avenue, New York, 10031, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science, City College of New York, CUNY, 160 Convent Avenue, New York, 10031, USA","institution_ids":["https://openalex.org/I125687163"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111216072","display_name":"Yongcheng Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I125687163","display_name":"City College of New York","ror":"https://ror.org/00wmhkr98","country_code":"US","type":"education","lineage":["https://openalex.org/I125687163"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yongcheng Zhu","raw_affiliation_strings":["Computer Science, City College of New York, CUNY, 160 Convent Avenue, New York, 10031, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science, City College of New York, CUNY, 160 Convent Avenue, New York, 10031, USA","institution_ids":["https://openalex.org/I125687163"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045299779","display_name":"Qizhi Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I125687163","display_name":"City College of New York","ror":"https://ror.org/00wmhkr98","country_code":"US","type":"education","lineage":["https://openalex.org/I125687163"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qizhi Zhao","raw_affiliation_strings":["Computer Science, City College of New York, CUNY, 160 Convent Avenue, New York, 10031, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science, City College of New York, CUNY, 160 Convent Avenue, New York, 10031, USA","institution_ids":["https://openalex.org/I125687163"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001135638","display_name":"Yilun Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I125687163","display_name":"City College of New York","ror":"https://ror.org/00wmhkr98","country_code":"US","type":"education","lineage":["https://openalex.org/I125687163"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yilun Hu","raw_affiliation_strings":["Computer Science, City College of New York, CUNY, 160 Convent Avenue, New York, 10031, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science, City College of New York, CUNY, 160 Convent Avenue, New York, 10031, USA","institution_ids":["https://openalex.org/I125687163"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100774168","display_name":"Bohan Chen","orcid":"https://orcid.org/0000-0002-4159-076X"},"institutions":[{"id":"https://openalex.org/I125687163","display_name":"City College of New York","ror":"https://ror.org/00wmhkr98","country_code":"US","type":"education","lineage":["https://openalex.org/I125687163"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bohan Chen","raw_affiliation_strings":["Computer Science, City College of New York, CUNY, 160 Convent Avenue, New York, 10031, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science, City College of New York, CUNY, 160 Convent Avenue, New York, 10031, USA","institution_ids":["https://openalex.org/I125687163"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020293347","display_name":"Mohammed Asif Sharier","orcid":null},"institutions":[{"id":"https://openalex.org/I125687163","display_name":"City College of New York","ror":"https://ror.org/00wmhkr98","country_code":"US","type":"education","lineage":["https://openalex.org/I125687163"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammed Asif Sharier","raw_affiliation_strings":["Computer Science, City College of New York, CUNY, 160 Convent Avenue, New York, 10031, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science, City College of New York, CUNY, 160 Convent Avenue, New York, 10031, USA","institution_ids":["https://openalex.org/I125687163"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056047884","display_name":"Shirong Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I125687163","display_name":"City College of New York","ror":"https://ror.org/00wmhkr98","country_code":"US","type":"education","lineage":["https://openalex.org/I125687163"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shirong Zheng","raw_affiliation_strings":["Computer Science, City College of New York, CUNY, 160 Convent Avenue, New York, 10031, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science, City College of New York, CUNY, 160 Convent Avenue, New York, 10031, USA","institution_ids":["https://openalex.org/I125687163"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052995018","display_name":"Jos\u00e9 Gustavo S. Paiva","orcid":"https://orcid.org/0000-0003-3228-6974"},"institutions":[{"id":"https://openalex.org/I80850581","display_name":"Universidade Federal de Uberl\u00e2ndia","ror":"https://ror.org/04x3wvr31","country_code":"BR","type":"education","lineage":["https://openalex.org/I80850581"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Jose Gustavo S. Paiva","raw_affiliation_strings":["Faculty of Computing, Federal University of Uberlandia, UFU, Av. Joao Naves de Avila, 2121, Uberlandia, 38408100, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computing, Federal University of Uberlandia, UFU, Av. Joao Naves de Avila, 2121, Uberlandia, 38408100, Brazil","institution_ids":["https://openalex.org/I80850581"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5052995018"],"corresponding_institution_ids":["https://openalex.org/I80850581"],"apc_list":null,"apc_paid":null,"fwci":2.2945,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.89645689,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"7","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.998199999332428,"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":0.998199999332428,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/variety","display_name":"Variety (cybernetics)","score":0.7826869487762451},{"id":"https://openalex.org/keywords/attendance","display_name":"Attendance","score":0.7447856068611145},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.712515115737915},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6834186315536499},{"id":"https://openalex.org/keywords/learning-analytics","display_name":"Learning analytics","score":0.6709285974502563},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6252917647361755},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.583265483379364},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.5755392909049988},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5392031073570251},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5126139521598816},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4652031362056732},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.41974854469299316},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2445077896118164},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.20729699730873108}],"concepts":[{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.7826869487762451},{"id":"https://openalex.org/C2778173179","wikidata":"https://www.wikidata.org/wiki/Q25339289","display_name":"Attendance","level":2,"score":0.7447856068611145},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.712515115737915},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6834186315536499},{"id":"https://openalex.org/C2777648619","wikidata":"https://www.wikidata.org/wiki/Q2845208","display_name":"Learning analytics","level":2,"score":0.6709285974502563},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6252917647361755},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.583265483379364},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.5755392909049988},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5392031073570251},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5126139521598816},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4652031362056732},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.41974854469299316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2445077896118164},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.20729699730873108},{"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40561-019-0112-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40561-019-0112-3","pdf_url":"https://slejournal.springeropen.com/track/pdf/10.1186/s40561-019-0112-3","source":{"id":"https://openalex.org/S2494786546","display_name":"Smart Learning Environments","issn_l":"2196-7091","issn":["2196-7091"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Smart Learning Environments","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fa4b70113e4d4b2eba2c0272a98bcaf0","is_oa":false,"landing_page_url":"https://doaj.org/article/fa4b70113e4d4b2eba2c0272a98bcaf0","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Smart Learning Environments, Vol 7, Iss 1, Pp 1-25 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40561-019-0112-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40561-019-0112-3","pdf_url":"https://slejournal.springeropen.com/track/pdf/10.1186/s40561-019-0112-3","source":{"id":"https://openalex.org/S2494786546","display_name":"Smart Learning Environments","issn_l":"2196-7091","issn":["2196-7091"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Smart Learning Environments","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.800000011920929,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2999076755.pdf","grobid_xml":"https://content.openalex.org/works/W2999076755.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W41622561","https://openalex.org/W76891003","https://openalex.org/W113913559","https://openalex.org/W273955616","https://openalex.org/W565133926","https://openalex.org/W1528081447","https://openalex.org/W1570448133","https://openalex.org/W1868317231","https://openalex.org/W1913242211","https://openalex.org/W1929579363","https://openalex.org/W1979711143","https://openalex.org/W1987799154","https://openalex.org/W2001141328","https://openalex.org/W2004733943","https://openalex.org/W2016741434","https://openalex.org/W2017929503","https://openalex.org/W2024424774","https://openalex.org/W2025361487","https://openalex.org/W2047752105","https://openalex.org/W2059821814","https://openalex.org/W2079905355","https://openalex.org/W2119862467","https://openalex.org/W2122825543","https://openalex.org/W2137226992","https://openalex.org/W2146872957","https://openalex.org/W2213039416","https://openalex.org/W2288572692","https://openalex.org/W2289501167","https://openalex.org/W2290063373","https://openalex.org/W2335086884","https://openalex.org/W2441672559","https://openalex.org/W2492294785","https://openalex.org/W2521500625","https://openalex.org/W2592909217","https://openalex.org/W2789308566","https://openalex.org/W2795136442","https://openalex.org/W2886007173","https://openalex.org/W2909059443","https://openalex.org/W2911964244","https://openalex.org/W2915027006","https://openalex.org/W4212774754","https://openalex.org/W4245891287","https://openalex.org/W4249572517"],"related_works":["https://openalex.org/W1987827786","https://openalex.org/W2799586942","https://openalex.org/W2504091800","https://openalex.org/W2331775400","https://openalex.org/W2768832457","https://openalex.org/W2816728186","https://openalex.org/W2804624249","https://openalex.org/W605203981","https://openalex.org/W2560130217","https://openalex.org/W2911048623"],"abstract_inverted_index":{"Abstract":[0],"Understanding":[1],"the":[2,37,122,158,187,205],"academic":[3],"performance":[4],"of":[5,39,61,75,108,124,131,190],"students":[6,27],"in":[7,13,24,45,68],"colleges":[8],"is":[9,66],"an":[10],"essential":[11],"topic":[12],"Education":[14],"research":[15],"field.":[16],"Educators,":[17],"program":[18,112],"coordinators":[19],"and":[20,64,81,99,146,150,162,194],"professors":[21],"are":[22,28],"interested":[23],"understanding":[25],"how":[26,32,42],"learning":[29,38,101,135],"specific":[30,33],"topics,":[31,41],"topics":[34],"may":[35,48,203],"influence":[36],"other":[40,57],"students\u2019":[43,109,140],"grades/attendances":[44],"each":[46],"course":[47,212],"represent":[49],"important":[50],"indicators":[51],"to":[52,71,78,103,120,138,185,208],"measure":[53],"their":[54],"performance,":[55],"among":[56,174],"tasks.":[58],"The":[59],"use":[60],"data":[62,79,97,110,116,183],"visualization":[63,98],"analytics":[65],"expanding":[67],"education":[69,172,206],"institutions":[70],"perform":[72,104],"a":[73,91,129,152],"variety":[74,130],"tasks":[76],"related":[77],"processing":[80],"gaining":[82],"into":[83],"data-informed":[84],"insights.":[85],"In":[86],"this":[87],"paper,":[88],"we":[89,195],"present":[90],"visual":[92,106],"analytic":[93],"tool":[94],"that":[95,156,200],"combines":[96],"machine":[100,134],"techniques":[102],"some":[105],"analysis":[107,202],"from":[111],"courses.":[113],"Two":[114],"educational":[115],"collections":[117],"were":[118],"used":[119],"guide":[121],"creation":[123],"i)":[125],"predictive":[126],"models":[127],"employing":[128],"well":[132],"known":[133],"strategies,":[136],"attempting":[137],"predict":[139],"future":[141],"grade":[142,145],"based":[143],"on":[144,211],"attendance":[147],"previous":[148],"semesters":[149],"ii)":[151],"set":[153],"interactive":[154],"layouts":[155,188],"highlight":[157],"relationship":[159],"between":[160],"grades":[161],"attendance,":[163],"also":[164,180],"including":[165],"additional":[166],"variables":[167],"such":[168,201],"as":[169],"gender,":[170],"parents":[171],"level,":[173],"others.":[175],"We":[176],"performed":[177],"several":[178],"experiments,":[179],"using":[181],"these":[182],"collections,":[184],"evaluate":[186],"ability":[189],"highlighting":[191],"interesting":[192],"patterns,":[193],"obtained":[196],"promising":[197],"results,":[198],"demonstrating":[199],"help":[204],"experts":[207],"understand":[209],"deficiencies":[210],"structures.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
