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An Evaluation of a Placement Assessment for an Adaptive Learning System

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Title: An Evaluation of a Placement Assessment for an Adaptive Learning System
Language: English
Authors: Jeffrey Matayoshi, Eric Cosyn, Christopher Lechuga, Hasan Uzun
Source: International Educational Data Mining Society. 2024.
Availability: International Educational Data Mining Society. e-mail: admin@educationaldatamining.org; Web site: https://educationaldatamining.org/conferences/
Peer Reviewed: Y
Page Count: 8
Publication Date: 2024
Document Type: Speeches/Meeting Papers
Reports - Evaluative
Education Level: Elementary Secondary Education
Descriptors: Student Placement, Evaluation Methods, Elementary Secondary Education, Accuracy, Computer Assisted Testing, Adaptive Testing, Placement Tests, Knowledge Level, Test Validity, Mathematics Education
Abstract: ALEKS is an adaptive learning and assessment system, with courses covering subjects such as math, chemistry, and statistics. In this work, we focus on the ALEKS math courses, which cover a wide range of content starting at second grade math and continuing through college-level precalculus. To help instructors and students navigate this content, the system recently introduced an adaptive placement assessment for its K-12 users in the U.S. This assessment evaluates a student's mathematical knowledge and recommends the most appropriate ALEKS course for that student. In what follows, we present several evaluations of this placement assessment. After first analyzing the performance of the assessment with standard classifier metrics, such as AUROC, we next look in more detail at the accuracy of the knowledge states--that is, we look at the accuracy of the assessment when classifying problem types as being known or not known by students. For our last analysis, we look at student outcomes in their ALEKS courses after taking the placement assessment. We then finish with a discussion of these results and their implications for the assessment. [For the complete proceedings, see ED675485.]
Abstractor: As Provided
Entry Date: 2025
Accession Number: ED675621
Database: ERIC
FullText Text:
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  Data: An Evaluation of a Placement Assessment for an Adaptive Learning System
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  Data: <searchLink fieldCode="AR" term="%22Jeffrey+Matayoshi%22">Jeffrey Matayoshi</searchLink><br /><searchLink fieldCode="AR" term="%22Eric+Cosyn%22">Eric Cosyn</searchLink><br /><searchLink fieldCode="AR" term="%22Christopher+Lechuga%22">Christopher Lechuga</searchLink><br /><searchLink fieldCode="AR" term="%22Hasan+Uzun%22">Hasan Uzun</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22International+Educational+Data+Mining+Society%22"><i>International Educational Data Mining Society</i></searchLink>. 2024.
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  Data: International Educational Data Mining Society. e-mail: admin@educationaldatamining.org; Web site: https://educationaldatamining.org/conferences/
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  Data: 8
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  Data: Speeches/Meeting Papers<br />Reports - Evaluative
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  Data: <searchLink fieldCode="DE" term="%22Student+Placement%22">Student Placement</searchLink><br /><searchLink fieldCode="DE" term="%22Evaluation+Methods%22">Evaluation Methods</searchLink><br /><searchLink fieldCode="DE" term="%22Elementary+Secondary+Education%22">Elementary Secondary Education</searchLink><br /><searchLink fieldCode="DE" term="%22Accuracy%22">Accuracy</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Assisted+Testing%22">Computer Assisted Testing</searchLink><br /><searchLink fieldCode="DE" term="%22Adaptive+Testing%22">Adaptive Testing</searchLink><br /><searchLink fieldCode="DE" term="%22Placement+Tests%22">Placement Tests</searchLink><br /><searchLink fieldCode="DE" term="%22Knowledge+Level%22">Knowledge Level</searchLink><br /><searchLink fieldCode="DE" term="%22Test+Validity%22">Test Validity</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematics+Education%22">Mathematics Education</searchLink>
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  Data: ALEKS is an adaptive learning and assessment system, with courses covering subjects such as math, chemistry, and statistics. In this work, we focus on the ALEKS math courses, which cover a wide range of content starting at second grade math and continuing through college-level precalculus. To help instructors and students navigate this content, the system recently introduced an adaptive placement assessment for its K-12 users in the U.S. This assessment evaluates a student's mathematical knowledge and recommends the most appropriate ALEKS course for that student. In what follows, we present several evaluations of this placement assessment. After first analyzing the performance of the assessment with standard classifier metrics, such as AUROC, we next look in more detail at the accuracy of the knowledge states--that is, we look at the accuracy of the assessment when classifying problem types as being known or not known by students. For our last analysis, we look at student outcomes in their ALEKS courses after taking the placement assessment. We then finish with a discussion of these results and their implications for the assessment. [For the complete proceedings, see ED675485.]
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    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 8
    Subjects:
      – SubjectFull: Student Placement
        Type: general
      – SubjectFull: Evaluation Methods
        Type: general
      – SubjectFull: Elementary Secondary Education
        Type: general
      – SubjectFull: Accuracy
        Type: general
      – SubjectFull: Computer Assisted Testing
        Type: general
      – SubjectFull: Adaptive Testing
        Type: general
      – SubjectFull: Placement Tests
        Type: general
      – SubjectFull: Knowledge Level
        Type: general
      – SubjectFull: Test Validity
        Type: general
      – SubjectFull: Mathematics Education
        Type: general
    Titles:
      – TitleFull: An Evaluation of a Placement Assessment for an Adaptive Learning System
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            NameFull: Jeffrey Matayoshi
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            NameFull: Eric Cosyn
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            NameFull: Christopher Lechuga
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            NameFull: Hasan Uzun
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              M: 01
              Type: published
              Y: 2024
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            – TitleFull: International Educational Data Mining Society
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