Process assessment in dynamic testing using electronic tangibles.

Task solving processes and changes in these processes have long been expected to provide valuable information about children's performance in school. This article used electronic tangibles (concrete materials that can be physically manipulated) and a dynamic testing format (pretest, training, and po...

Full description

Bibliographic Details
Published in:Journal of Computer Assisted Learning Vol. 35; no. 1; pp. 127 - 143
Main Authors: Veerbeek, Jochanan, Vogelaar, Bart, Verhaegh, Janneke, Resing, Wilma C.M.
Format: research tables/charts Journal Article
Published: Wiley-Blackwell Feb2019
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=134200919&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 134200919
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        02664909
        6M1
      jtl: Journal of Computer Assisted Learning
      issn: 02664909
      maglogo: Y
    pubinfo:
      dt: Feb2019
      vid: 35
      iid: 1
      pid: 480
      pub: Wiley-Blackwell
      place: Malden, Massachusetts
    artinfo:
      ui:
        134200919
        134200919
        134200919
        10.1111/jcal.12318
        134200919
      ppf: 127
      ppct: 16
      formats:
      tig:
        atl: Process assessment in dynamic testing using electronic tangibles.
      aug:
        au:
          Veerbeek, Jochanan
          Vogelaar, Bart
          Verhaegh, Janneke
          Resing, Wilma C.M.
        affil: Faculty of Social Sciences, Department of Developmental and Educational Psychology, Leiden University, Leiden The Netherlands
      sug:
        subj:
          Problem Solving In Infancy and Childhood
          Problem Solving Education
          Academic Performance
          Quality Improvement
          Human
          Child
          Group Processes
          Learning Methods
          Reading
          Male
          Female
          Netherlands
          Schools, Elementary
          Pretest-Posttest Design
          Random Assignment
          Intelligence Tests
          Coefficient alpha
          User-Computer Interface
          Pearson's Correlation Coefficient
          Data Analysis Software
          Time Factors
          Analysis of Variance
          Univariate Statistics
          Repeated Measures
          Multivariate Analysis of Variance
          Chi Square Test
          Child Behavior
          Multiple Linear Regression
          Regression
          Mathematics
          Child: 6-12 years
          Male
          Female
      ab: Task solving processes and changes in these processes have long been expected to provide valuable information about children's performance in school. This article used electronic tangibles (concrete materials that can be physically manipulated) and a dynamic testing format (pretest, training, and posttest) to investigate children's task solving processes and changes in these processes as a result of training. We also evaluated the value of process information for the prediction of school results. Participants were N = 253 children with a mean age of 7.8 years. Half of them received a graduated prompts training; the other half received repeated practice only. Three process measures were used: grouping behaviour, verbalized strategies, and completion time. Different measures showed different effects of training, with verbalized strategies showing the largest difference on the posttest between trained and untrained children. Although process measures were related to performance on our dynamic task and to math and reading performance in school, the amount of help provided during training provided the most predictive value to school results. We concluded that children's task solving processes provide valuable information, but the interpretation requires more research. Lay Description: What is already known about this topic: Dynamic testing provides information on a child's ability to learn.Solving process information provides indications for intervention.Computerized testing can be of great help in recording process information. What this paper adds: Process‐oriented dynamic testing provides explanatory information beyond traditional tests.The use of a tangible user interface (TUI) console uncovers valuable information on solving processes.Process measures are related to series completion performance, math, and reading.Need for instruction is the best predictor of math and reading ability.Implications for practice and/or policy: A framework for interpreting process information is necessary in dynamic testing.Process‐oriented dynamic testing may be more suitable to inform education.TUIs provide a more natural testing environment.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N