Assisted self‐assessment to optimize the OPIc test experience.
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| Title: | Assisted self‐assessment to optimize the OPIc test experience. |
|---|---|
| Authors: | Spino, LeAnne L.1 spino@uri.edu, Echevarría, Megan M.1, Wu, Yu1 |
| Source: | Foreign Language Annals. Sep2022, Vol. 55 Issue 3, p853-876. 24p. |
| Subject Terms: | *Classical languages, *Modern languages, *Classical literature, Modern literature |
| Company/Entity: | University of Rhode Island |
| Abstract: | The Challenge: A principal adaptive feature of the ACTFL Oral Proficiency Interview—computer (OPIc) is a self‐assessment instrument through which test takers select a level‐appropriate test form. How accurately do test takers select level‐appropriate forms on the OPIc? Would assistance with the test form selection process optimize the testing experience? The ACTFL Oral Proficiency Interview—computer (OPIc) employs a self‐assessment instrument to determine the nature of the speaking prompts to which the test taker will respond and, thus the difficulty of the test. Grounded in research demonstrating varying levels of accuracy in self‐assessment among language learners, this study examines the accuracy of test takers' autonomous selection of appropriate OPIc forms and investigates strategies for maximizing level‐appropriate form selection. Chinese, German, and Spanish language learners (n = 101) completed three different self‐assessments before taking the OPIc. Self‐assessment results across the three tools were then compared to the OPIc ratings ultimately achieved by the learners. Although accuracy in the selection of level‐appropriate OPIc forms was generally quite high, success rates were higher with a global 10‐point self‐assessment instrument. These findings suggest that test takers may benefit from the assistance of a global 10‐point scale in the OPIc form selection process. [ABSTRACT FROM AUTHOR] |
| Copyright of Foreign Language Annals is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 159063440 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Assisted self‐assessment to optimize the OPIc test experience. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Spino%2C+LeAnne+L%2E%22">Spino, LeAnne L.</searchLink><relatesTo>1</relatesTo><i> spino@uri.edu</i><br /><searchLink fieldCode="AR" term="%22Echevarría%2C+Megan+M%2E%22">Echevarría, Megan M.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Wu%2C+Yu%22">Wu, Yu</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Foreign+Language+Annals%22">Foreign Language Annals</searchLink>. Sep2022, Vol. 55 Issue 3, p853-876. 24p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Classical+languages%22">Classical languages</searchLink><br />*<searchLink fieldCode="DE" term="%22Modern+languages%22">Modern languages</searchLink><br />*<searchLink fieldCode="DE" term="%22Classical+literature%22">Classical literature</searchLink><br /><searchLink fieldCode="DE" term="%22Modern+literature%22">Modern literature</searchLink> – Name: SubjectCompany Label: Company/Entity Group: Su Data: <searchLink fieldCode="DE" term="%22University+of+Rhode+Island%22">University of Rhode Island</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The Challenge: A principal adaptive feature of the ACTFL Oral Proficiency Interview—computer (OPIc) is a self‐assessment instrument through which test takers select a level‐appropriate test form. How accurately do test takers select level‐appropriate forms on the OPIc? Would assistance with the test form selection process optimize the testing experience? The ACTFL Oral Proficiency Interview—computer (OPIc) employs a self‐assessment instrument to determine the nature of the speaking prompts to which the test taker will respond and, thus the difficulty of the test. Grounded in research demonstrating varying levels of accuracy in self‐assessment among language learners, this study examines the accuracy of test takers' autonomous selection of appropriate OPIc forms and investigates strategies for maximizing level‐appropriate form selection. Chinese, German, and Spanish language learners (n = 101) completed three different self‐assessments before taking the OPIc. Self‐assessment results across the three tools were then compared to the OPIc ratings ultimately achieved by the learners. Although accuracy in the selection of level‐appropriate OPIc forms was generally quite high, success rates were higher with a global 10‐point self‐assessment instrument. These findings suggest that test takers may benefit from the assistance of a global 10‐point scale in the OPIc form selection process. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Foreign Language Annals is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/flan.12645 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 853 Subjects: – SubjectFull: Classical languages Type: general – SubjectFull: Modern languages Type: general – SubjectFull: Classical literature Type: general – SubjectFull: Modern literature Type: general – SubjectFull: University of Rhode Island Type: general Titles: – TitleFull: Assisted self‐assessment to optimize the OPIc test experience. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Spino, LeAnne L. – PersonEntity: Name: NameFull: Echevarría, Megan M. – PersonEntity: Name: NameFull: Wu, Yu IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 0015718X Numbering: – Type: volume Value: 55 – Type: issue Value: 3 Titles: – TitleFull: Foreign Language Annals Type: main |
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