Publications
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Taking Stock of the California Linked Learning District Initiative: Seventh-Year Evaluation Report, Executive Summary
This report from SRI International’s multiyear evaluation of the California Linked Learning District Initiative is the first to include postsecondary outcomes for students in Linked Learning pathways ...
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Assessment and Content Authoring in Semantic Virtual Environments
This paper presents an approach to training in VEs that directly addresses these challenges and summarizes its application to a weapons maintenance task.
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Approaches to Improving Clinical Practice: Describing How NGEI Sites are Reforming Clinical Placement Experiences and Candidate Feedback Systems
As part of the Bechtel-funded New Generation of Educators Initiative (NGEI), California State University (CSU) grantees are reforming the clinical experience in their teacher preparation programs. This report describes selected…
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Conversational In-Vehicle Dialog Systems: The past, present, and future
We review research and development activities for in-vehicle dialog systems, examine findings, discuss key challenges, and share our visions for voice-enabled interaction and intelligent assistance for smart vehicles over the…
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Sub-Meter Vehicle Navigation Using Efficient Pre-Mapped Visual Landmarks
This paper presents a vehicle navigation system that is capable of achieving sub-meter GPS-denied navigation accuracy in large-scale urban environments, using pre-mapped visual landmarks.
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Dominance of radiative recombination from electron-beam-pumped deep-UV AlGaN multi-quantum-well heterostructures
AlGaN-based multiple-quantum-well (MQW) heterostructures were irradiated with a pulsed electron beam.
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Leveraging Multiple GPUs and CPUs for Graphlet Counting in Large Networks
In this paper, we propose a key class of hybrid parallel graphlet algorithms that leverages multiple CPUs and GPUs simultaneously for computing k-vertex induced subgraph statistics (called graphlets).
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Probabilistic Inference Modulo Theories
We present SGDPLL(T ), an algorithm that solves probabilistic inference modulo theories, that is, inference problems over probabilistic models defined via a logic theory provided as a parameter.
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Diagnosing PARC’s Refrigerator Benchmark with Data-Driven Methods
Diagnosing real-world systems is a challenging task due to, e.g., complexity, measurement error and lack of control in experimentation.
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Diagnosing PARC’s Refrigerator Benchmark with Data-Driven Methods
Diagnosing real-world systems is a challenging task due to, e.g., complexity, measurement error and lack of control in experimentation.
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Professional Development to Support Instructional Improvement: Lessons from Research
This paper acknowledges the issue of nonstrategic use of professional development resources and describes lessons from research on how professional development could be better designed to achieve desired impacts on…
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Thermal insulator transition induced by interface scattering
We develop an effective medium model of thermal conductivity that accounts for both percolation and interface scattering.