SRI International
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College-Based Transition Services’ Impact on Self-Determination for Youth with Intellectual Disabilities
Think College Transition found that after controlling for student baseline scores, the college-based transition services had a significant effect on students’ scores of self-determination at post-test. Implications for further refining the model are discussed.
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Scaling Up Teacher Induction: Implementation and Impact on Teachers and Students
With funding from a U.S. Department of Education Investing in Innovation (i3) scale-up grant, NTC tested strategies for scaling its validated induction model to 301 schools in five school districts serving high proportions of students of color and students from low-income households.
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Using Computational Modeling to Integrate Science and Engineering Curricular Activities
We articulate a framework for using computational modeling to coherently integrate the design of science and engineering curricular experiences.
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John Randall talks about Zyvex Labs
John Randall is President and CEO of Zyvex Labs. In this episode, they talk about manufacturing with atomic-scale precision, and why Zyvex joined the QED-C™.
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Zearn Math Curriculum Study Professional Development Final Report
SRI and TERC conducted case studies of teachers participating in the Zearn Math Curriculum Study Professional Development to learn whether and how teachers’ participation in CS PD led to pedagogical content knowledge growth.
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Strategies for Success in Community Partnerships: Case Studies of Community Collaboratives for Early Learning and Media
As part of the Ready To Learn Initiative, the CPB and the PBS devised a new model of community partnerships called Community Collaboratives for Early Learning and Media.
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Using Data to Support Children and Families: The North Dakota Early Childhood Integrated Data System Strategic Plan
SRI developed this strategic plan for North Dakota to help guide the state’s partners in building community support and engagement for their early childhood integrated data system (ECIDS).
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Transformer Based Molecule Encoding for Property Prediction
We build a Transformer-based molecule encoder and property predictor network with novel input featurization that performs significantly better than existing methods.
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Comparing Parent Report and Telemetry Measures of Child Media Use
Accurate measurement of children’s media use is critical for understanding media effects on child outcomes.
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Sustaining a 1:1 Program – Insights From Research
This paper shares insights on sustaining 1:1 technology programs in economically challenged K–12 settings, based on a large research study of an iPad program.

