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Does Early Mathematics Intervention Change the Processes Underlying Children's Learning?

ABSTRACT: Early educational intervention effects typically fade in the years following treatment, and few studies have investigated why achievement impacts diminish over time. The current study tested the effects of a preschool mathematics intervention on two aspects of children's mathematical development. We tested for separate effects of the intervention on "state" (occasion-specific) and "trait" (relatively stable) variability in mathematics achievement. Results indicated that, although the treatment had a large impact on state mathematics, the treatment had no effect on trait mathematics, or the aspect of mathematics achievement that influences stable individual differences in mathematics achievement over time. Results did suggest, however, that the intervention could affect the underlying processes in children's mathematical development by inducing more transfer of knowledge immediately following the intervention for students in the treated group.

SUBMITTER: Watts TW

PROVIDER: S-EPMC5791897 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Does Early Mathematics Intervention Change the Processes Underlying Children's Learning?

Watts Tyler W TW Clements Douglas H DH Sarama Julie J Wolfe Christopher B CB Spitler Mary Elaine ME Bailey Drew H DH

Journal of research on educational effectiveness 20160930 1

Early educational intervention effects typically fade in the years following treatment, and few studies have investigated why achievement impacts diminish over time. The current study tested the effects of a preschool mathematics intervention on two aspects of children's mathematical development. We tested for separate effects of the intervention on "state" (occasion-specific) and "trait" (relatively stable) variability in mathematics achievement. Results indicated that, although the treatment h ...[more]

PMID: 29399243

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Project description:BackgroundStudies continually show benefits of active learning in college classrooms, yet it is difficult to get faculty to adopt these methods. Particularly challenging is the final step of the instructional change process, "refreezing," when after making initial changes in instructional methods, instructors decide whether to continue with new instructional methods or return to their previous methods. Though this stage is important, it is not well studied. Most available studies about ongoing support following professional development on teaching merely state that facilitators made an effort to offer support, or report how frequently participants engaged with online support mechanisms through counting postings on listservs or message boards. Such measures do not show evidence that participants actually received positive reinforcement or intellectual and emotional support, which are crucial to refreezing, nor do these frequency analyses help other professional developers learn how to create productive ongoing support mechanisms that yield high participant engagement.ResultsThis workshop for 35 college mathematics instructors used online and in-person communities to provide support to participants during the post-workshop period of "refreezing." Almost all workshop attendees participated in "e-mentoring" (94%), primarily through a productive, engaging group email listserv. By combining qualitative coding of message content with the techniques of social network analysis, we reveal how facilitators and participants on the group listserv provided intellectual and emotional support, as well as positive reinforcement through feedback loops. The analysis also shows how the facilitators made this a helpful group and maintained participant engagement through frequent encouragement, deliberate community building, and thoughtfully timed responses.ConclusionsThough many professional development workshops offer online support through email listservs, there is little evidence that these listservs successfully engage and support participants. Applying the analytic approach of social network analysis allowed us to model the conversation threads in one highly engaged and supportive listserv following a mathematics professional development workshop. This method revealed the processes of ongoing support in ways that traditional frequency-based analyses cannot. This method also revealed lessons for how other professional developers can create productive, helpful online support listservs. Since this is an innovative application of social network analysis, we describe the method in detail.

Project description:BackgroundYoung children with developmental disabilities and delays spend significant amounts of time at home, show decreased participation in home-based activities, and receive home-based early intervention services to improve participation in activities. Yet, knowledge about the relationship between EI service use and children's home participation in activities remains poorly understood but needed for program improvement. The purpose of this study was to understand the relationships between EI service use and children's home participation.MethodsIn a cross-sectional design, data were gathered from caregivers (N = 139) who enrolled in a pilot trial of the Young Children's Participation in Environment Measure (YC-PEM) electronic patient-reported outcome (e-PRO), as implemented within 1 month of their child's next EI progress evaluation. A series of path analytic models were used to estimate EI service intensity as a predictor of parent-reported young children's home participation 1) frequency, 2) level of involvement, and 3) desired change, adjusting for family and child social and functional characteristics. Models included caregiver perceptions of home environmental support to test its indirect (i.e., mediation) effects on the relationship between EI service intensity and each of the three home participation dimensions.ResultsAll three models fit the data well (comparative fit index = 1.00). EI service intensity was not a significant predictor of participation frequency. However, EI service intensity had a significant direct effect on a child's participation according to level of involvement and desired change, explaining between 13.3-33.5% of the variance in home participation. Caregiver perceptions of environmental support had a small yet significant indirect effect on the relationship between EI service intensity and level of involvement and desired change; these models explained between 18.5-38.1% of the variance in home participation.ConclusionsEI service intensity has important links with involvement in and desired change for home-based activities. Caregiver perceptions of environmental support appears to be a factor in the relationship between EI service intensity and home participation. Results warrant longitudinal replication with a control group, which would be possible with the implementation of the YC-PEM e-PRO in a routine EI clinical workflow.Trial retrospectively registeredNCT03904797 .

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Does Early Mathematics Intervention Change the Processes Underlying Children's Learning?

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Does Early Mathematics Intervention Change the Processes Underlying Children's Learning?

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