Templates and Objects in Authoring Problem-Solving Assessments. CRESST Report 735
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| Title: | Templates and Objects in Authoring Problem-Solving Assessments. CRESST Report 735 |
|---|---|
| Language: | English |
| Authors: | Vendlinski, Terry P., Baker, Eva L., Niemi, David, National Center for Research on Evaluation, Standards, and Student Testing |
| Source: | National Center for Research on Evaluation, Standards, and Student Testing (CRESST). 2008. |
| Availability: | National Center for Research on Evaluation, Standards, and Student Testing (CRESST). 300 Charles E Young Drive N, GSE&IS Building 3rd Floor, Mailbox 951522, Los Angeles, CA 90095-1522. Tel: 310-206-1532; Fax: 310-825-3883; Web site: http://www.cresst.org |
| Peer Reviewed: | Y |
| Page Count: | 29 |
| Publication Date: | 2008 |
| Contract Number: | R305A050004 |
| Document Type: | Reports - Evaluative |
| Descriptors: | Student Evaluation, Educational Research, Models, Problem Solving, Simulation, Outcomes of Education, Technology Uses in Education |
| Abstract: | Assessing whether students can both re-present a corpus of learned knowledge and also demonstrate that they can apply that knowledge to solve problems is key to assessing student understanding. This notion, in turn, impacts our thinking about what we assess, how we author such assessments, and how we interpret assessment results. The diffusion of technology into venues of learning offers new opportunities in the area of student assessment. Specifically, computer-based simulations seem to provide sufficiently rich environments and the tools necessary to allow us to infer accurately how well a student's individual mental model of the world can accommodate, integrate, and be used to exploit concepts from a domain of interest. In this paper then, we first identify the characteristics of simulations that our experience suggests are necessary to make them appropriate for pedagogical and assessment purposes. Next, we discuss the models and frameworks (templates) we have used to ensure these characteristics are considered. Finally, we describe two computerized instantiations (objects) of these frameworks and implications for the follow-on design of simulations. (Contains 3 footnotes.) [The work reported in this document was supported by the Inter-agency Educational Research Initiative. This report was first printed as chapter 16 of "Assessments of Problem Solving Using Simulations" (Vendlinski, Baker, & Niemi, 2008).] |
| Abstractor: | As Provided |
| Number of References: | 87 |
| IES Funded: | Yes |
| Entry Date: | 2008 |
| Accession Number: | ED502628 |
| Database: | ERIC |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED502628 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
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| Items | – Name: Title Label: Title Group: Ti Data: Templates and Objects in Authoring Problem-Solving Assessments. CRESST Report 735 – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Vendlinski%2C+Terry+P%2E%22">Vendlinski, Terry P.</searchLink><br /><searchLink fieldCode="AR" term="%22Baker%2C+Eva+L%2E%22">Baker, Eva L.</searchLink><br /><searchLink fieldCode="AR" term="%22Niemi%2C+David%22">Niemi, David</searchLink><br /><searchLink fieldCode="AR" term="%22National+Center+for+Research+on+Evaluation%2C+Standards%2C+and+Student+Testing%22">National Center for Research on Evaluation, Standards, and Student Testing</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22National+Center+for+Research+on+Evaluation%2C+Standards%2C+and+Student+Testing+%28CRESST%29%22"><i>National Center for Research on Evaluation, Standards, and Student Testing (CRESST)</i></searchLink>. 2008. – Name: Avail Label: Availability Group: Avail Data: National Center for Research on Evaluation, Standards, and Student Testing (CRESST). 300 Charles E Young Drive N, GSE&IS Building 3rd Floor, Mailbox 951522, Los Angeles, CA 90095-1522. Tel: 310-206-1532; Fax: 310-825-3883; Web site: http://www.cresst.org – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 29 – Name: DatePubCY Label: Publication Date Group: Date Data: 2008 – Name: NumberContract Label: Contract Number Group: NumCntrct Data: R305A050004 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Reports - Evaluative – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Student+Evaluation%22">Student Evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Research%22">Educational Research</searchLink><br /><searchLink fieldCode="DE" term="%22Models%22">Models</searchLink><br /><searchLink fieldCode="DE" term="%22Problem+Solving%22">Problem Solving</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation%22">Simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Outcomes+of+Education%22">Outcomes of Education</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Assessing whether students can both re-present a corpus of learned knowledge and also demonstrate that they can apply that knowledge to solve problems is key to assessing student understanding. This notion, in turn, impacts our thinking about what we assess, how we author such assessments, and how we interpret assessment results. The diffusion of technology into venues of learning offers new opportunities in the area of student assessment. Specifically, computer-based simulations seem to provide sufficiently rich environments and the tools necessary to allow us to infer accurately how well a student's individual mental model of the world can accommodate, integrate, and be used to exploit concepts from a domain of interest. In this paper then, we first identify the characteristics of simulations that our experience suggests are necessary to make them appropriate for pedagogical and assessment purposes. Next, we discuss the models and frameworks (templates) we have used to ensure these characteristics are considered. Finally, we describe two computerized instantiations (objects) of these frameworks and implications for the follow-on design of simulations. (Contains 3 footnotes.) [The work reported in this document was supported by the Inter-agency Educational Research Initiative. This report was first printed as chapter 16 of "Assessments of Problem Solving Using Simulations" (Vendlinski, Baker, & Niemi, 2008).] – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: Ref Label: Number of References Group: RefInfo Data: 87 – Name: CodeSource Label: IES Funded Group: SrcInfo Data: Yes – Name: DateEntry Label: Entry Date Group: Date Data: 2008 – Name: AN Label: Accession Number Group: ID Data: ED502628 |
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| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 29 Subjects: – SubjectFull: Student Evaluation Type: general – SubjectFull: Educational Research Type: general – SubjectFull: Models Type: general – SubjectFull: Problem Solving Type: general – SubjectFull: Simulation Type: general – SubjectFull: Outcomes of Education Type: general – SubjectFull: Technology Uses in Education Type: general Titles: – TitleFull: Templates and Objects in Authoring Problem-Solving Assessments. CRESST Report 735 Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: National Center for Research on Evaluation, Standards, and Student Testing – PersonEntity: Name: NameFull: Vendlinski, Terry P. – PersonEntity: Name: NameFull: Baker, Eva L. – PersonEntity: Name: NameFull: Niemi, David IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Type: published Y: 2008 Titles: – TitleFull: National Center for Research on Evaluation, Standards, and Student Testing (CRESST) Type: main |
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