Top 5 Benefits of Game-Based Assessment

Game-based social and emotional learning (SEL) assessments are quickly becoming more popular. According to SEL expert and 3C Institute CEO Melissa DeRosier, PhD, game-based assessments have five main benefits:

  1. Games provide unique opportunities for social interaction.
    It may seem counterintuitive to use games to teach social and emotional skills, but an online game provides a safe space for children to explore different behavior choices. Zoo U, for example, gives students an opportunity to practice six skills in a fictional school environment.
  2. Games are well suited for assessment of SEL and 21st-century skills.
    There’s a growing emphasis in education on SEL and 21st-century skills development, along with the recognition that it’s not just what children know but what they do with that knowledge. In games such as Adventures Aboard the S.S.GRIN, children see how their choices affect others and lead to different outcomes.
  3. Games are ideal vehicles for formative assessment.
    Formative assessment helps educators and counselors adjust, inform, and plan instruction. When we know where children are having difficulty, we can intervene and focus attention on problem areas.
  4. Games provide unique opportunities for “stealth” assessment.
    When children are aware they’re being assessed, they may behave differently than they would in typical circumstances.
  5. Games can take advantage of adaptive assessment.
    The technology used in computerized adaptive assessments tailors instruction to each student, adjusting the level of difficulty based on the child’s responses.

An earlier version of this article was published on July 14, 2016. A longer version was published in the Spring/Summer 2016 issue of The Voice, from our partners at Professional Educators of North Carolina.

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    DEB CHILDRESS, PHD

    Chief of Research and Learning Content

    BIOGRAPHY

    Dr. Childress obtained her PhD in psychology at the University of North Carolina at Chapel Hill. Prior to coming to 3C Institute, she served as a research associate and a postdoctoral fellow in the Carolina Institute for Developmental Disabilities at the University of North Carolina at Chapel Hill working on a longitudinal imaging study aimed at identifying the early markers of autism through behavioral and imaging methodologies. She has 19 years of autism research experience, during which she has examined the behavioral, personality, and cognitive characteristics of individuals with autism and their family members. Dr. Childress also has experience developing behavioral and parent report measurement tools, coordinating multi-site research studies, and collecting data from children and families. She has taught courses and seminars in general child development, autism, and cognitive development at the University of North Carolina at Chapel Hill.

    Expertise

    • autism
    • early development
    • behavioral measurement
    • integrating behavioral and biological measurement

    Education

    • Postdoctoral fellowship, Carolina Institute for Developmental Disabilities (Institutional NRSA-NICHD), University of North Carolina at Chapel Hill
    • PhD, developmental psychology, University of North Carolina at Chapel Hill
    • BS, psychology (minor in sociology), University of Iowa

    Selected Publications

    • Elison, J. T., Wolff, J. J., Heimer, D. C., Paterson, S. J., Gu, H., Hazlett, H. C., Styner, M, Gerig, G., & Piven, J. (in press). Frontolimbic neural circuitry at 6 months predicts individual differences in joint attention at 9 months. Developmental Science.
    • Wassink, T. H., Vieland, V. J., Sheffield, V. C., Bartlett, C. W., Goedken, R., Childress, D. & Piven, J. (2008). Posterior probability of linkage analysis of autism dataset identifies linkage to chromosome 16. Psychiatric Genetics,18(2),85-91.
    • Losh, M., Childress, D., Lam K. & Piven, J. (2008). Defining key features of the broad autism phenotype: A comparison across parents of multiple- and single-incidence autism families. American Journal of Medical Genetics (Neuropsychiatric Genetics), 147B(4):424-33.
    • Wassink, T. H., Piven, J., Vieland, V. J., Jenkins, L., Frantz R., Bartlett, C. W., Goedken, R., … Sheffield, V.C. (2005). Evaluation of the chromosome 2q37.3 gene CENTG2 as an autism susceptibility gene. American Journal of Medical Genetics (Neuropsychiatric Genetics), 136, 36-44.
    • Barrett, S., Beck, J., Bernier, R., Bisson, E., Braun, T., Casavant, T., Childress, D., … Vieland, V. (1999). An autosomal genomic screen for autism. American Journal of Medical Genetics (Neuropsychiatric Genetics), 88, 609-615. doi: 10.1002/(SICI)1096-8628(19991215)88:63.0.CO;2-L
    • Piven, J., Palmer, P., Landa, R., Santangelo, S., Jacobi, D. & Childress, D. (1997). Personality and language characteristics in parents from multiple-incidence autism families. American Journal of Medical Genetics (Neuropsychiatric Genetics), 74, 398-411.
    • Piven, J., Palmer, P., Jacobi, D., Childress, D. & Arndt, S. (1997). Broader autism phenotype: Evidence from a family history study of multiple-incidence autism families. American Journal of Psychiatry, 154, 185-190.