Are High School Students Accurate in Predicting Their AP Exam Scores?: Examining Inaccuracy and Overconfidence of Students' Predictions
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| Title: | Are High School Students Accurate in Predicting Their AP Exam Scores?: Examining Inaccuracy and Overconfidence of Students' Predictions |
|---|---|
| Language: | English |
| Authors: | Teresa M. Ober (ORCID |
| Source: | Grantee Submission. 2021. |
| Peer Reviewed: | Y |
| Page Count: | 26 |
| Publication Date: | 2021 |
| Sponsoring Agency: | National Science Foundation (NSF), Division of Research on Learning in Formal and Informal Settings (DRL) |
| Contract Number: | 1350787 |
| Document Type: | Reports - Research |
| Education Level: | High Schools Secondary Education |
| Descriptors: | High School Students, Self Evaluation (Individuals), Student Attitudes, High Stakes Tests, Advanced Placement Programs, Tests, Student Evaluation, Accuracy, Scores, Age Differences, Gender Differences, Parent Background, Educational Attainment, Mathematics Instruction, Correlation, Classroom Environment, Learner Engagement, Context Effect, Statistics, Institutional Characteristics, Prior Learning |
| DOI: | 10.1080/0969594X.2022.2037508 |
| Abstract: | We examined whether students were accurate in predicting their test performance two testing contexts (low-stakes and high-stakes). The sample comprised U.S. high school students enrolled in an advanced placement (AP) statistics course during the 2017-2018 academic year (N=209; M[subscript age]=16.6 years). We found that even two months before taking the AP exam, a high stakes summative assessment, students were moderately accurate in predicting their actual scores ([kappa][subscript weighted]=0.62). When the same variables were entered into models predicting inaccuracy and overconfidence bias, results did not provide evidence that age, gender, parental education, number of math classes previously taken, or course engagement accounted for variation in accuracy. Overconfidence bias differed between students enrolled at different schools. Results indicated that students' predictions of performance were positively associated with performance in both low- and high-stakes testing contexts. The findings shed light on ways to leverage students' self-assessment for learning. |
| Abstractor: | As Provided |
| Entry Date: | 2024 |
| Accession Number: | ED642087 |
| Database: | ERIC |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED642087 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
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| Header | DbId: eric DbLabel: ERIC An: ED642087 AccessLevel: 3 PubType: Report PubTypeId: report PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Are High School Students Accurate in Predicting Their AP Exam Scores?: Examining Inaccuracy and Overconfidence of Students' Predictions – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Teresa+M%2E+Ober%22">Teresa M. Ober</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-9698-9543">0000-0001-9698-9543</externalLink>)<br /><searchLink fieldCode="AR" term="%22Maxwell+R%2E+Hong%22">Maxwell R. Hong</searchLink><br /><searchLink fieldCode="AR" term="%22Matthew+F%2E+Carter%22">Matthew F. Carter</searchLink><br /><searchLink fieldCode="AR" term="%22Alex+S%2E+Brodersen%22">Alex S. Brodersen</searchLink><br /><searchLink fieldCode="AR" term="%22Daniella+Rebouças-Ju%22">Daniella Rebouças-Ju</searchLink><br /><searchLink fieldCode="AR" term="%22Cheng+Liu%22">Cheng Liu</searchLink><br /><searchLink fieldCode="AR" term="%22Ying+Cheng%22">Ying Cheng</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Grantee+Submission%22"><i>Grantee Submission</i></searchLink>. 2021. – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 26 – Name: DatePubCY Label: Publication Date Group: Date Data: 2021 – Name: SourceSuprt Label: Sponsoring Agency Group: SrcSuprt Data: National Science Foundation (NSF), Division of Research on Learning in Formal and Informal Settings (DRL) – Name: NumberContract Label: Contract Number Group: NumCntrct Data: 1350787 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Reports - Research – Name: Audience Label: Education Level Group: Audnce Data: <searchLink fieldCode="EL" term="%22High+Schools%22">High Schools</searchLink><br /><searchLink fieldCode="EL" term="%22Secondary+Education%22">Secondary Education</searchLink> – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22High+School+Students%22">High School Students</searchLink><br /><searchLink fieldCode="DE" term="%22Self+Evaluation+%28Individuals%29%22">Self Evaluation (Individuals)</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Attitudes%22">Student Attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22High+Stakes+Tests%22">High Stakes Tests</searchLink><br /><searchLink fieldCode="DE" term="%22Advanced+Placement+Programs%22">Advanced Placement Programs</searchLink><br /><searchLink fieldCode="DE" term="%22Tests%22">Tests</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Evaluation%22">Student Evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Accuracy%22">Accuracy</searchLink><br /><searchLink fieldCode="DE" term="%22Scores%22">Scores</searchLink><br /><searchLink fieldCode="DE" term="%22Age+Differences%22">Age Differences</searchLink><br /><searchLink fieldCode="DE" term="%22Gender+Differences%22">Gender Differences</searchLink><br /><searchLink fieldCode="DE" term="%22Parent+Background%22">Parent Background</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Attainment%22">Educational Attainment</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematics+Instruction%22">Mathematics Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Correlation%22">Correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Classroom+Environment%22">Classroom Environment</searchLink><br /><searchLink fieldCode="DE" term="%22Learner+Engagement%22">Learner Engagement</searchLink><br /><searchLink fieldCode="DE" term="%22Context+Effect%22">Context Effect</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Institutional+Characteristics%22">Institutional Characteristics</searchLink><br /><searchLink fieldCode="DE" term="%22Prior+Learning%22">Prior Learning</searchLink> – Name: DOI Label: DOI Group: ID Data: 10.1080/0969594X.2022.2037508 – Name: Abstract Label: Abstract Group: Ab Data: We examined whether students were accurate in predicting their test performance two testing contexts (low-stakes and high-stakes). The sample comprised U.S. high school students enrolled in an advanced placement (AP) statistics course during the 2017-2018 academic year (N=209; M[subscript age]=16.6 years). We found that even two months before taking the AP exam, a high stakes summative assessment, students were moderately accurate in predicting their actual scores ([kappa][subscript weighted]=0.62). When the same variables were entered into models predicting inaccuracy and overconfidence bias, results did not provide evidence that age, gender, parental education, number of math classes previously taken, or course engagement accounted for variation in accuracy. Overconfidence bias differed between students enrolled at different schools. Results indicated that students' predictions of performance were positively associated with performance in both low- and high-stakes testing contexts. The findings shed light on ways to leverage students' self-assessment for learning. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2024 – Name: AN Label: Accession Number Group: ID Data: ED642087 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=ED642087 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/0969594X.2022.2037508 Languages: – Text: English PhysicalDescription: Pagination: PageCount: 26 Subjects: – SubjectFull: High School Students Type: general – SubjectFull: Self Evaluation (Individuals) Type: general – SubjectFull: Student Attitudes Type: general – SubjectFull: High Stakes Tests Type: general – SubjectFull: Advanced Placement Programs Type: general – SubjectFull: Tests Type: general – SubjectFull: Student Evaluation Type: general – SubjectFull: Accuracy Type: general – SubjectFull: Scores Type: general – SubjectFull: Age Differences Type: general – SubjectFull: Gender Differences Type: general – SubjectFull: Parent Background Type: general – SubjectFull: Educational Attainment Type: general – SubjectFull: Mathematics Instruction Type: general – SubjectFull: Correlation Type: general – SubjectFull: Classroom Environment Type: general – SubjectFull: Learner Engagement Type: general – SubjectFull: Context Effect Type: general – SubjectFull: Statistics Type: general – SubjectFull: Institutional Characteristics Type: general – SubjectFull: Prior Learning Type: general Titles: – TitleFull: Are High School Students Accurate in Predicting Their AP Exam Scores?: Examining Inaccuracy and Overconfidence of Students' Predictions Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Teresa M. Ober – PersonEntity: Name: NameFull: Maxwell R. Hong – PersonEntity: Name: NameFull: Matthew F. Carter – PersonEntity: Name: NameFull: Alex S. Brodersen – PersonEntity: Name: NameFull: Daniella Rebouças-Ju – PersonEntity: Name: NameFull: Cheng Liu – PersonEntity: Name: NameFull: Ying Cheng IsPartOfRelationships: – BibEntity: Dates: – D: 14 M: 11 Type: published Y: 2021 Titles: – TitleFull: Grantee Submission Type: main |
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