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https://journals.sagepub.com/doi/10.1177/0271121409353350
Nov 09, 2009 · Unfortunately, there is a lack of tools to support early childhood service providers’ decision-making efforts. The authors describe a Web-based system that guides service providers through a decision-making process informed by child performance on Infant and Toddler IGDIs (Individual Growth and Development Indicators), the provider’s professional judgment, and information …Cited by: 20
https://journals.sagepub.com/doi/abs/10.1177/0271121409353350
Nov 09, 2009 · Progress monitoring and data-based intervention decision making have become key components of providing evidence-based early childhood special education services. Unfortunately, there is a lack of tools to support early childhood service providers’ decision-making efforts.Cited by: 20
https://eric.ed.gov/?id=EJ875671
Unfortunately, there is a lack of tools to support early childhood service providers' decision-making efforts. The authors describe a Web-based system that guides service providers through a decision-making process informed by child performance on Infant and Toddler IGDIs (Individual Growth and Development Indicators), the provider's professional judgment, and information from the child's …Cited by: 20
http://files.kidblog.org/208336/files/ECSEDecisionArticle-3.pdf
(MOD) system, a Web-based CDSS designed to support early childhood service providers’ data-based decision making. The MOD leads early childhood service providers through a data-based decision-making model that considers child performance, the interventionist’s expert judgment, caregiver input, and intervention fidelity of implementation
https://igdi.ku.edu/using-the-mod-for-data-driven-decision-making/
Integrated into the IGDI Online Data System, the MOD (Making Online Decisions) system guides educators through data-driven decision-making steps linked to children’s ECI data that leads to parent-delivered language intervention strategies for children identified at risk for language delay. Through two randomized control trials in Early Head Start home visiting programs across multiple states, use of …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3806550/
Oct 07, 2013 · Patients were allocated to either an intervention group that was offered a Web-based tool to support shared decision making or a control group that received care as usual. Randomization of patients was conducted by using the online Research Randomizer [ 14 ].Cited by: 67
https://eric.ed.gov/?id=EJ933590
Two conditions were compared in a randomized control trial. Condition A involved the use of an online data collection system, training in data-based intervention decision making, and training in the evidenced-based language interventions. Condition B was the same as A plus additional web-based support (MOD: Making Online Decisions)...Cited by: 21
https://www.acf.hhs.gov/sites/default/files/opre/what_do_we_know_about_how_early_childhood_teachers_use_ongoing.pdf
The project’s goals are to (1) review the existing literature and develop a conceptual framework of ECE teachers’ use of ongoing child assessment to individualize instruc- tion and (2) create a measurement tool to examine this process further.
https://www.researchgate.net/publication/288753442_Using_Technology_to_Support_Progress_Monitoring_and_Data-Based_Intervention_Decision_Making_in_Early_Childhood_Is_There_an_App_for_That
Implications for employing Ubisense in early childhood classrooms as a data-based decision-making tool to support children's development and its potential integration with other wearable sensor ...
https://rti4success.org/essential-components-rti/data-based-decision-making
The module covers basic information on progress monitoring and a multi-step process for selecting progress monitoring tools. Data-based decision making is embedded throughout the module with content focused on using progress monitoring data to evaluate and make decisions about instruction, to …
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