Measurement concepts are an essential foundation for more advanced mathematical concepts. To address the challenges of students with autism spectrum disorder (ASD) in learning measurement concepts, this study investigated the effects of using a combination of explicit instruction and virtual manipulatives (VMs) to teach measurement concepts to students with ASD in China. Using a single-case multiple-probe across skills design, researchers examined whether the intervention could support the acquisition and maintenance of measurement concepts in students with ASD. Based on visual analysis, a functional relation was found between the independent variable (i.e., explicit instruction with VMs) and student performance on solving measurement concepts problems. Implications for practice and research are discussed.
BouckE. C.ParkJ.LevyK.CwiakalaK.WhorleyA. (2020). App-based manipulatives and explicit instruction to support division with remainders. Exceptionality, 28(1), 45–59. https://doi.org/10.1080/09362835.2019.1586709
4.
BouckE. C.WorkingC.BoneE. (2018). Manipulative apps to support students with disabilities in mathematics. Intervention in School and Clinic, 53(5), 177–182. https://doi.org/10.1177/105345121770211
ClementsD. H.StephanM. (2004). Measurement in pre-K to grade 2 mathematics. In ClementsD. H.SaramaJ.DiBiaseA.-M. (Eds.), Engaging young children in mathematics: Standards for early childhood mathematics education (pp. 299–317). Taylor & Francis Group.
EngelmannS.CarnineD. (1982). Theory of instruction: Principles and applications. Irvington Publishers.
9.
FritzA.EhlertA.BalzerL. (2013). Development of mathematical concepts as basis for an elaborated mathematical understanding. South African Journal of Childhood Education, 3(1), 38–67. https://doi.org/10.4102/sajce.v3i1.31
10.
GastD. L.LedfordJ. R. (2014). Single case research methodology. Routledge.
KnightV.SartiniE.SpriggsA. D. (2015). Evaluating visual activity schedules as evidence-based practice for individuals with autism spectrum disorders. Journal of Autism and Developmental Disorders, 45(1), 157–178. https://doi.org/10.1007/s10803-014-2201-z.
13.
KrajewskiK.SchneiderW. (2009). Exploring the impact of phonological awareness, visual-spatial working memory, and preschool quantity-number competencies on mathematics achievement in elementary school: Findings from a 3-year longitudinal study. Journal of Experimental Child Psychology, 103(4), 516–531. https://doi.org/10.1016/j.jecp.2009.03.009
14.
KroesbergenE. H.Van LuitJ. E. H.Van LieshoutE.Van LoosbroekE.Van de RijtB. A. M. (2009). Individual differences in early numeracy: The role of executive functions and subitizing. Journal of Psychoeducational Assessment, 27(3), 226–236. https://doi.org/10.1177/0734282908330586
15.
LedfordJ. R.GastD. L. (2018). Single case research methodology: Applications in special education and behavioral sciences (3rd ed.). Routledge.
16.
LuJ. P.YangZ. W.ShuM. Y.SuL. Y. (2004). Reliability, validity analysis of the childhood autism rating scale. China Journal of Modern Medicine, 14(3), 119–121.
National Council of Teachers of Mathematics. (2000). Principles and standards for school mathematics. National Council of Teachers of Mathematics.
19.
OswaldT. M.BeckJ. S.IosifA. M.McCauleyJ. B.GilhoolyL. J.MatterJ. C.SolomonM. (2016). Clinical and cognitive characteristics associated with mathematics problem solving in adolescents with autism spectrum disorder. Autism Research, 9(4), 480–490. https://doi.org/10.1002/aur.1524
20.
ParkerR. I.VannestK. J.DavisJ. L.SauberS. B. (2011). Combining nonoverlap and trend for single-case research: Tau-U. Behavior Therapy, 42(2), 284–299. https://doi.org/10.1016/j.beth.2010.08.006
21.
RootJ. R. (2019). Effects of explicit instruction on acquisition and generalization of mathematical concepts for a student with autism spectrum disorder. Research in Autism Spectrum Disorders, 57, 1–6. https://doi.org/10.1016/j.rasd.2018.09.005
22.
RootJ. R.BrowderD. M. (2019). Algebraic problem solving for middle school students with autism and intellectual disability. Exceptionality, 27(2), 118–132. https://doi.org/10.1080/09362835.2017.1394304
23.
SchoplerE.Van BourgondienM. E.WellmanG. J.LoveS. R. (2010). Childhood autism rating scale (2nd ed.). Western Psychological Services.
SpoonerF.RootJ. R.SaundersA. F.BrowderD. M. (2019). An updated evidence-based practice review on teaching mathematics to students with moderate and severe developmental disabilities. Remedial and Special Education, 40(3), 150–165. https://doi.org/10.1177/0741932517751055
26.
SpoonerF.SaundersA.RootJ. R.BroshC. (2017). Promoting access to common core mathematics for students with severe disabilities through mathematical problem solving. Research and Practice for Persons with Severe Disabilities, 42, 171–186. https://doi.org/10.1177/1540796917697119
27.
StephanM.ClementsD. H. (2003). Linear and area measurement in prekindergarten to grade 2. In ClementsD. H.BrightG. (Eds.), Learning and teaching measurement (2003 yearbook) (pp. 3–16). National Council of Teacher of Mathematics.
28.
VannestK. J.ParkerR. I.GonenO.AdiguzelT. (2016). Single case research: Web-based calculators for SCR analysis (Version 2.0) [Web-based application]. Texas A&M University. https://www.singlecaseresearch.org
29.
WechslerD. (2003). Wechsler intelligence scale for children (4th ed.). Psychological Corporation.
