{"id":"https://openalex.org/W3205836286","doi":"https://doi.org/10.1108/dta-04-2021-0088","title":"Analyzing online discussion data for understanding the student's critical thinking","display_name":"Analyzing online discussion data for understanding the student's critical thinking","publication_year":2021,"publication_date":"2021-10-07","ids":{"openalex":"https://openalex.org/W3205836286","doi":"https://doi.org/10.1108/dta-04-2021-0088","mag":"3205836286"},"language":"en","primary_location":{"id":"doi:10.1108/dta-04-2021-0088","is_oa":false,"landing_page_url":"https://doi.org/10.1108/dta-04-2021-0088","pdf_url":null,"source":{"id":"https://openalex.org/S4210171756","display_name":"Data Technologies and Applications","issn_l":"2514-9288","issn":["2514-9288","2514-9318"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Technologies and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020713789","display_name":"Juan Yang","orcid":"https://orcid.org/0000-0002-2004-8613"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Juan Yang","raw_affiliation_strings":["School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011275854","display_name":"Xu Du","orcid":"https://orcid.org/0000-0001-9069-6109"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Du","raw_affiliation_strings":["National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039483281","display_name":"Jui-Long Hung","orcid":null},"institutions":[{"id":"https://openalex.org/I120156002","display_name":"Boise State University","ror":"https://ror.org/02e3zdp86","country_code":"US","type":"education","lineage":["https://openalex.org/I120156002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jui-Long Hung","raw_affiliation_strings":["Department of Educational Technology, Boise State University, Boise, Idaho, USA"],"affiliations":[{"raw_affiliation_string":"Department of Educational Technology, Boise State University, Boise, Idaho, USA","institution_ids":["https://openalex.org/I120156002"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069333201","display_name":"Chih\u2010Hsiung Tu","orcid":"https://orcid.org/0000-0002-0316-5332"},"institutions":[{"id":"https://openalex.org/I203172682","display_name":"Northern Arizona University","ror":"https://ror.org/0272j5188","country_code":"US","type":"education","lineage":["https://openalex.org/I203172682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chih-hsiung Tu","raw_affiliation_strings":["Department of Educational Specialties, Northern Arizona University, Flagstaff, Arizona, USA"],"affiliations":[{"raw_affiliation_string":"Department of Educational Specialties, Northern Arizona University, Flagstaff, Arizona, USA","institution_ids":["https://openalex.org/I203172682"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020713789"],"corresponding_institution_ids":["https://openalex.org/I43922553"],"apc_list":null,"apc_paid":null,"fwci":5.9177,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.96313338,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"56","issue":"2","first_page":"303","last_page":"326"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10162","display_name":"Online and Blended Learning","score":0.9921000003814697,"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"}},"topics":[{"id":"https://openalex.org/T10162","display_name":"Online and Blended Learning","score":0.9921000003814697,"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/T11715","display_name":"Education and Critical Thinking Development","score":0.9907000064849854,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.984000027179718,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7751114368438721},{"id":"https://openalex.org/keywords/critical-thinking","display_name":"Critical thinking","score":0.6344022154808044},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5862408876419067},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5368905663490295},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4749215543270111},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4675425887107849},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4503291845321655},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44929423928260803},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37889641523361206},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33454465866088867},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.1684781014919281},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10547628998756409}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7751114368438721},{"id":"https://openalex.org/C533356498","wikidata":"https://www.wikidata.org/wiki/Q843894","display_name":"Critical thinking","level":2,"score":0.6344022154808044},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5862408876419067},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5368905663490295},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4749215543270111},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4675425887107849},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4503291845321655},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44929423928260803},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37889641523361206},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33454465866088867},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.1684781014919281},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10547628998756409},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/dta-04-2021-0088","is_oa":false,"landing_page_url":"https://doi.org/10.1108/dta-04-2021-0088","pdf_url":null,"source":{"id":"https://openalex.org/S4210171756","display_name":"Data Technologies and Applications","issn_l":"2514-9288","issn":["2514-9288","2514-9318"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Technologies and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"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":72,"referenced_works":["https://openalex.org/W1590495275","https://openalex.org/W1614298861","https://openalex.org/W1634431212","https://openalex.org/W1817561967","https://openalex.org/W1832693441","https://openalex.org/W1894439495","https://openalex.org/W1958077162","https://openalex.org/W1974776846","https://openalex.org/W1985258458","https://openalex.org/W1997205773","https://openalex.org/W2012321650","https://openalex.org/W2024722430","https://openalex.org/W2024982405","https://openalex.org/W2033090074","https://openalex.org/W2048529682","https://openalex.org/W2055235810","https://openalex.org/W2055854942","https://openalex.org/W2058675706","https://openalex.org/W2060707028","https://openalex.org/W2067404301","https://openalex.org/W2071565134","https://openalex.org/W2085970550","https://openalex.org/W2093950336","https://openalex.org/W2100406905","https://openalex.org/W2118020653","https://openalex.org/W2118778378","https://openalex.org/W2119821739","https://openalex.org/W2127779460","https://openalex.org/W2170486810","https://openalex.org/W2210596465","https://openalex.org/W2298414609","https://openalex.org/W2510263599","https://openalex.org/W2533613678","https://openalex.org/W2576302906","https://openalex.org/W2578118850","https://openalex.org/W2594111172","https://openalex.org/W2597485909","https://openalex.org/W2607395990","https://openalex.org/W2620036265","https://openalex.org/W2735743598","https://openalex.org/W2760317388","https://openalex.org/W2765803301","https://openalex.org/W2769392727","https://openalex.org/W2780932362","https://openalex.org/W2792301539","https://openalex.org/W2797135302","https://openalex.org/W2797267599","https://openalex.org/W2797448668","https://openalex.org/W2884001105","https://openalex.org/W2909803291","https://openalex.org/W2910191085","https://openalex.org/W2910779049","https://openalex.org/W2911964244","https://openalex.org/W2919115771","https://openalex.org/W2923528470","https://openalex.org/W2924988155","https://openalex.org/W2942753551","https://openalex.org/W2943485487","https://openalex.org/W2950577311","https://openalex.org/W2972201468","https://openalex.org/W2973325524","https://openalex.org/W2976395159","https://openalex.org/W2980573211","https://openalex.org/W2981868774","https://openalex.org/W2998861456","https://openalex.org/W3084624816","https://openalex.org/W3106237638","https://openalex.org/W3143021555","https://openalex.org/W4234506655","https://openalex.org/W4236122429","https://openalex.org/W4239510810","https://openalex.org/W4242121546"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Purpose":[0],"Critical":[1],"thinking":[2,60,133,249],"is":[3,38,67,96,213],"considered":[4],"important":[5],"in":[6,69,85,138],"psychological":[7,113,237],"science":[8],"because":[9],"it":[10,212],"enables":[11],"students":[12],"to":[13,39,98,126,154,278],"make":[14],"effective":[15],"decisions":[16],"and":[17,25,54,78,103,112,128,181,199,264,286],"optimizes":[18],"their":[19],"performance.":[20,289],"Aiming":[21],"at":[22],"the":[23,29,33,57,75,79,88,117,121,156,159,167,182,188,204,208,216,232,242,246,253,256,267,281],"challenges":[24],"issues":[26],"of":[27,35,123,145,158,175,191,255,270],"understanding":[28,56],"student's":[30,58,282],"critical":[31,59,132,248],"thinking,":[32],"objective":[34],"this":[36,70],"study":[37],"analyze":[40],"online":[41,139,260,271],"discussion":[42,86,140,243],"data":[43],"through":[44],"an":[45],"advanced":[46,64],"multi-feature":[47],"fusion":[48],"modeling":[49],"(MFFM)":[50],"approach":[51,66,170],"for":[52,203,225],"automatically":[53,127],"accurately":[55,129],"levels.":[61],"Design/methodology/approach":[62],"An":[63],"MFFM":[65,169,258],"proposed":[68,97,160,168,257],"study.":[71],"Specifically,":[72],"with":[73,110,147,245],"considering":[74],"time-series":[76],"characteristic":[77],"high":[80],"correlations":[81],"between":[82],"adjacent":[83],"words":[84],"contents,":[87],"long":[89],"short-term":[90],"memory\u2013convolutional":[91],"neural":[92],"network":[93],"(LSTM-CNN)":[94],"architecture":[95],"extract":[99],"deep":[100],"semantic":[101,106,217],"features,":[102,238],"then":[104],"these":[105],"features":[107,177,218],"are":[108,136,222],"combined":[109],"linguistic":[111],"knowledge":[114,283],"generated":[115],"by":[116,220],"LIWC2015":[118],"tool":[119],"as":[120,234,236],"inputs":[122],"full-connected":[124],"layers":[125],"predict":[130],"students'":[131,149],"levels":[134],"that":[135,166,171,215],"hidden":[137],"data.":[141],"Findings":[142],"A":[143],"series":[144],"experiments":[146],"94":[148],"7,691":[150],"posts":[151,244],"were":[152],"conducted":[153],"verify":[155],"effectiveness":[157],"approach.":[161],"The":[162],"experimental":[163],"results":[164],"show":[165],"combines":[172],"two":[173],"types":[174],"textual":[176],"outperforms":[178],"baseline":[179],"methods,":[180],"semantic-based":[183],"padding":[184],"can":[185,194,239,262,274],"further":[186],"improve":[187,287],"prediction":[189],"performance":[190],"MFFM.":[192],"It":[193],"achieve":[195],"0.8205":[196],"overall":[197],"accuracy":[198],"0.6172":[200],"F1":[201],"score":[202],"\u201chigh\u201d":[205],"category":[206],"on":[207],"validation":[209],"dataset.":[210],"Furthermore,":[211],"found":[214],"extracted":[219],"LSTM-CNN":[221],"more":[223],"powerful":[224],"identifying":[226],"self-introduction":[227],"or":[228],"off-topic":[229],"discussions,":[230,272],"while":[231],"linguistic,":[233],"well":[235],"better":[240,279],"distinguish":[241],"highest":[247],"level.":[250],"Originality/value":[251],"With":[252],"support":[254,275],"approach,":[259],"teachers":[261],"conveniently":[263],"effectively":[265],"understand":[266],"interaction":[268],"quality":[269],"which":[273],"instructional":[276],"decision-making":[277],"promote":[280],"construction":[284],"process":[285],"learning":[288]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
