{"id":"https://openalex.org/W2781714994","doi":"https://doi.org/10.1109/tlt.2018.2789900","title":"Predicting Contextual Informativeness for Vocabulary Learning","display_name":"Predicting Contextual Informativeness for Vocabulary Learning","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2781714994","doi":"https://doi.org/10.1109/tlt.2018.2789900","mag":"2781714994"},"language":"en","primary_location":{"id":"doi:10.1109/tlt.2018.2789900","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tlt.2018.2789900","pdf_url":null,"source":{"id":"https://openalex.org/S130363450","display_name":"IEEE Transactions on Learning Technologies","issn_l":"1939-1382","issn":["1939-1382","2372-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Learning Technologies","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/A5068936812","display_name":"Adam Kapelner","orcid":"https://orcid.org/0000-0001-5985-6792"},"institutions":[{"id":"https://openalex.org/I40889946","display_name":"Queens University of Charlotte","ror":"https://ror.org/02nf34254","country_code":"US","type":"education","lineage":["https://openalex.org/I40889946"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Adam Kapelner","raw_affiliation_strings":["Queens University of Charlotte, Charlotte, NC, US"],"affiliations":[{"raw_affiliation_string":"Queens University of Charlotte, Charlotte, NC, US","institution_ids":["https://openalex.org/I40889946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067421013","display_name":"Jeanine Soterwood","orcid":"https://orcid.org/0000-0001-8682-661X"},"institutions":[{"id":"https://openalex.org/I2799715878","display_name":"Lake Land College","ror":"https://ror.org/04bd74a48","country_code":"US","type":"education","lineage":["https://openalex.org/I2799715878"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeanine Soterwood","raw_affiliation_strings":["Lake Land College, Mattoon, IL, US"],"affiliations":[{"raw_affiliation_string":"Lake Land College, Mattoon, IL, US","institution_ids":["https://openalex.org/I2799715878"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006360614","display_name":"Shalev Nessaiver","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shalev Nessaiver","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5032932052","display_name":"Suzanne M. Adlof","orcid":"https://orcid.org/0000-0002-0156-7231"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Suzanne Adlof","raw_affiliation_strings":["University of South Carolina School of Law, Columbia, SC, US"],"affiliations":[{"raw_affiliation_string":"University of South Carolina School of Law, Columbia, SC, US","institution_ids":["https://openalex.org/I155781252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5068936812"],"corresponding_institution_ids":["https://openalex.org/I40889946"],"apc_list":null,"apc_paid":null,"fwci":1.5231,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.86641618,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"11","issue":"1","first_page":"13","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13629","display_name":"Text Readability and Simplification","score":0.9979000091552734,"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"}},"topics":[{"id":"https://openalex.org/T13629","display_name":"Text Readability and Simplification","score":0.9979000091552734,"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/T10028","display_name":"Topic Modeling","score":0.9975000023841858,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.996399998664856,"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":0.7875115871429443},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.7051372528076172},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6779229044914246},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5777015089988708},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5005538463592529},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4877408444881439},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.46710577607154846},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45961707830429077},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.4571857154369354},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4500175714492798},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44348156452178955},{"id":"https://openalex.org/keywords/vocabulary-development","display_name":"Vocabulary development","score":0.4273444414138794},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.16350463032722473},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11745727062225342}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7875115871429443},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.7051372528076172},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6779229044914246},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5777015089988708},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5005538463592529},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4877408444881439},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.46710577607154846},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45961707830429077},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.4571857154369354},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4500175714492798},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44348156452178955},{"id":"https://openalex.org/C62737587","wikidata":"https://www.wikidata.org/wiki/Q7939179","display_name":"Vocabulary development","level":3,"score":0.4273444414138794},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.16350463032722473},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11745727062225342},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tlt.2018.2789900","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tlt.2018.2789900","pdf_url":null,"source":{"id":"https://openalex.org/S130363450","display_name":"IEEE Transactions on Learning Technologies","issn_l":"1939-1382","issn":["1939-1382","2372-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Learning Technologies","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309102","display_name":"City University of New York","ror":"https://ror.org/00453a208"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":83,"referenced_works":["https://openalex.org/W1041910","https://openalex.org/W136568931","https://openalex.org/W1494385208","https://openalex.org/W1494420179","https://openalex.org/W1536274117","https://openalex.org/W1546602224","https://openalex.org/W1586405805","https://openalex.org/W1587026990","https://openalex.org/W1717461208","https://openalex.org/W1768853980","https://openalex.org/W1806600124","https://openalex.org/W1894616663","https://openalex.org/W1947868837","https://openalex.org/W1970381522","https://openalex.org/W1979532929","https://openalex.org/W1985449126","https://openalex.org/W2006633576","https://openalex.org/W2008455588","https://openalex.org/W2020159140","https://openalex.org/W2023991700","https://openalex.org/W2027300592","https://openalex.org/W2029940888","https://openalex.org/W2031982155","https://openalex.org/W2034849674","https://openalex.org/W2044688197","https://openalex.org/W2048679005","https://openalex.org/W2052440237","https://openalex.org/W2059216864","https://openalex.org/W2060602715","https://openalex.org/W2061450776","https://openalex.org/W2076320060","https://openalex.org/W2082184646","https://openalex.org/W2082291422","https://openalex.org/W2091081949","https://openalex.org/W2098865355","https://openalex.org/W2101210369","https://openalex.org/W2102988123","https://openalex.org/W2104941907","https://openalex.org/W2106568252","https://openalex.org/W2111076280","https://openalex.org/W2114811706","https://openalex.org/W2117130368","https://openalex.org/W2118871974","https://openalex.org/W2119830539","https://openalex.org/W2122746007","https://openalex.org/W2126302787","https://openalex.org/W2127452865","https://openalex.org/W2145713659","https://openalex.org/W2147381999","https://openalex.org/W2151401338","https://openalex.org/W2159245874","https://openalex.org/W2161765107","https://openalex.org/W2163941886","https://openalex.org/W2166562747","https://openalex.org/W2175427726","https://openalex.org/W2237281136","https://openalex.org/W2313494261","https://openalex.org/W2339883960","https://openalex.org/W2406501289","https://openalex.org/W2406733485","https://openalex.org/W2422654740","https://openalex.org/W2490911822","https://openalex.org/W2557283755","https://openalex.org/W2787894218","https://openalex.org/W2911964244","https://openalex.org/W2943781670","https://openalex.org/W2999665664","https://openalex.org/W3122078363","https://openalex.org/W3125283999","https://openalex.org/W4230096730","https://openalex.org/W4235148177","https://openalex.org/W4236122429","https://openalex.org/W4251922965","https://openalex.org/W4255886624","https://openalex.org/W6600044377","https://openalex.org/W6632471062","https://openalex.org/W6637908687","https://openalex.org/W6677811664","https://openalex.org/W6684019304","https://openalex.org/W6703497308","https://openalex.org/W6717737217","https://openalex.org/W6730267373","https://openalex.org/W6761964121"],"related_works":["https://openalex.org/W1997182898","https://openalex.org/W1507695016","https://openalex.org/W2545648508","https://openalex.org/W2032901985","https://openalex.org/W3126764648","https://openalex.org/W3041552642","https://openalex.org/W2168844319","https://openalex.org/W2028355310","https://openalex.org/W2118989076","https://openalex.org/W2791755638"],"abstract_inverted_index":{"Vocabulary":[0],"knowledge":[1],"is":[2],"essential":[3],"to":[4,15,45,67,168],"educational":[5],"progress.":[6],"High":[7],"quality":[8,197],"vocabulary":[9],"instruction":[10],"requires":[11],"supportive":[12],"contextual":[13,83,182],"examples":[14,84],"teach":[16],"word":[17,157],"meaning":[18],"and":[19,135,184],"proper":[20],"usage.":[21],"Identifying":[22],"such":[23,172],"contexts":[24,167,177,186,201],"by":[25,96,204],"hand":[26],"for":[27,55,154],"a":[28,41,47,53,100,112,128,151,155,169],"large":[29],"number":[30],"of":[31,52,62,108,115,175,198,208],"words":[32,57,78],"can":[33,149,164],"be":[34],"difficult.":[35],"In":[36],"this":[37],"work,":[38],"we":[39,163],"take":[40],"statistical":[42],"learning":[43],"approach":[44],"engineer":[46],"system":[48,143],"that":[49,58,120,147,173],"predicts":[50],"informativeness":[51,102],"context":[54,94,110],"target":[56,156],"span":[59],"the":[60,87,106,176],"range":[61],"difficulty":[63],"from":[64,86],"middle":[65],"school":[66,210],"college":[68],"level.":[69],"Our":[70,89,142],"database":[71],"(released":[72],"open":[73],"source)":[74],"includes":[75],"1,000":[76],"hand-selected":[77],"associated":[79],"with":[80],"approximately":[81,116],"70,000":[82],"gathered":[85],"Internet.":[88],"training":[90],"data":[91],"included":[92],"each":[93,109],"rated":[95],"10":[97],"individuals":[98],"on":[99],"four-point":[101],"scale.":[103],"We":[104,125],"process":[105],"text":[107],"into":[111],"novel":[113],"collection":[114],"600":[117],"numerical":[118],"features":[119],"captures":[121],"diverse":[122],"linguistic":[123],"information.":[124],"then":[126],"fit":[127],"nonparametric":[129],"regression":[130],"model":[131],"using":[132,140],"Random":[133],"Forests":[134],"compute":[136],"out-of-sample":[137],"prediction":[138],"performance":[139],"cross-validation.":[141],"performs":[144],"well":[145],"enough":[146],"it":[148],"replace":[150],"human":[152],"judge:":[153],"not":[158],"found":[159],"in":[160],"our":[161,199],"dataset,":[162],"provide":[165],"curated":[166,200],"student":[170],"learner":[171],"most":[174],"(54":[178],"percent)":[179],"feature":[180],"rich":[181],"clues":[183],"confusing":[185],"are":[187],"rare":[188],"(":[189],"<inline-formula>":[190],"<tex-math":[191],"notation=\"LaTeX\">$&lt;$</tex-math>":[192],"</inline-formula>":[193],"1":[194],"percent).":[195],"The":[196],"was":[202],"validated":[203],"an":[205],"independent":[206],"panel":[207],"high":[209],"language":[211],"arts":[212],"teachers.":[213]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}