{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/129522"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/129522","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Analyzing lexical features to predict Indian ITAs’ performance in a university oral English assessment","abstract":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01","abstract_html":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01","abstract_has_math":false,"creators":["Rahman, Raihan"],"institution":"University of Illinois Urbana-Champaign","degree_name":"M.A.","degree_level":"Thesis","degree_discipline":"Teaching of English Sec Lang","degree_department":null,"school":null,"contributors":["Yan, Xun","Zhang, Qiusi"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2025,"date_issued":"2025-04-18","date_published":"2025-04-18","updated_at":"2026-07-22T22:25:05Z","subjects":["Oral English assessment","Lexical features","lexical diversity","lexical sophistication","collocational use","Indian ITAs","language proficiency","TESL"],"languages":["en","eng"],"rights":["Copyright 2025 Raihan Rahman"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/129522","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Yan, Xun","Zhang, Qiusi"]},{"key":"dc:creator","label":"Author","values":["Rahman, Raihan"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2025-04-18","2025-05"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Teaching of English Sec Lang"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.A."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Oral English assessment","Lexical features","lexical diversity","lexical sophistication","collocational use","Indian ITAs","language proficiency","TESL"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2025 Raihan Rahman"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/129522"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01","The student, Raihan Rahman, accepted the attached license on 2025-04-10 at 12:52.","The student, Raihan Rahman, submitted this Thesis for approval on 2025-04-10 at 13:07.","This Thesis was approved for publication on 2025-04-18 at 16:36.","DSpace SAF Submission Ingestion Package generated from Vireo submission #21741 on 2025-10-19 at 19:14:38","This study investigates the extent to which lexical features can predict human rater assessments of high-performing Indian International Teaching Assistants (ITAs), examining whether metrics of lexical diversity, sophistication, and collocational use predict between Level 4 and Level 5 ratings. To address this question, sixty-six speaking test transcripts from Indian ITAs were analyzed using computational tools that generate quantitative measures of vocabulary use, including TAALES and TAALED. Binary logistic regression analysis revealed that while lexical diversity measures did not significantly predict between advanced proficiency levels, lexical sophistication measures (word frequency) and collocational metrics demonstrated moderate predictive power. The findings show a complex pattern where Level 5 candidates tend to use less frequent individual words but more conventional multi-word expressions, suggesting sophisticated vocabulary deployment that balances precision with accessibility. These results contribute to both the theoretical understanding of lexical development at advanced proficiency levels and the practical assessment of ITAs, suggesting that beyond a certain threshold, lexical sophistication and collocational competence play more decisive roles than diversity in predicting highly proficient speakers."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Analyzing lexical features to predict Indian ITAs’ performance in a university oral English assessment"]}]}],"canonical_facts":{"dc:contributor":["Yan, Xun","Zhang, Qiusi"],"dc:creator":["Rahman, Raihan"],"dc:date":["2025-04-18","2025-05"],"dc:description":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01","The student, Raihan Rahman, accepted the attached license on 2025-04-10 at 12:52.","The student, Raihan Rahman, submitted this Thesis for approval on 2025-04-10 at 13:07.","This Thesis was approved for publication on 2025-04-18 at 16:36.","DSpace SAF Submission Ingestion Package generated from Vireo submission #21741 on 2025-10-19 at 19:14:38","This study investigates the extent to which lexical features can predict human rater assessments of high-performing Indian International Teaching Assistants (ITAs), examining whether metrics of lexical diversity, sophistication, and collocational use predict between Level 4 and Level 5 ratings. To address this question, sixty-six speaking test transcripts from Indian ITAs were analyzed using computational tools that generate quantitative measures of vocabulary use, including TAALES and TAALED. Binary logistic regression analysis revealed that while lexical diversity measures did not significantly predict between advanced proficiency levels, lexical sophistication measures (word frequency) and collocational metrics demonstrated moderate predictive power. The findings show a complex pattern where Level 5 candidates tend to use less frequent individual words but more conventional multi-word expressions, suggesting sophisticated vocabulary deployment that balances precision with accessibility. These results contribute to both the theoretical understanding of lexical development at advanced proficiency levels and the practical assessment of ITAs, suggesting that beyond a certain threshold, lexical sophistication and collocational competence play more decisive roles than diversity in predicting highly proficient speakers."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/129522"],"dc:language":["en","eng"],"dc:rights":["Copyright 2025 Raihan Rahman"],"dc:subject":["Oral English assessment","Lexical features","lexical diversity","lexical sophistication","collocational use","Indian ITAs","language proficiency","TESL"],"dc:title":["Analyzing lexical features to predict Indian ITAs’ performance in a university oral English assessment"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Teaching of English Sec Lang"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.A."],"thesis:institution_name":["University of Illinois Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:05Z"}