Publications
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Measuring Student Learning in Introductory Block-Based Programming: Examining Misconceptions of Loops, Variables, and Boolean Logic
This research aims to develop assessment items for measuring student understanding in introductory CS classrooms in middle school using a principled approach for assessment design.
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Learner Modeling for Adaptive Scaffolding in a Computational Thinking-Based Science Learning Environment
We develop a learner modeling and adaptive scaffolding framework for CTSiM –an open ended learning environment that supports synergistic learning of science and Computational Thinking for middle school students.
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Impact of the National Writing Project’s College-Ready Writers Program in High-Need Rural Districts
This paper reports on a district-randomized controlled trial of the National Writing Project’s College-Ready Writers Program (CRWP), implemented in high-need rural districts in 10 states.
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Joint modeling of articulatory and acoustic spaces for continuous speech recognition tasks
This paper investigates using deep neural networks (DNN) and convolutional neural networks (CNNs) for mapping speech data into its corresponding articulatory space.
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Access & Equity in Linked Learning: A Report on Pathway Access and Academic Outcomes for Traditionally Underserved Students
This brief describes the successes and challenges the districts have experienced in fostering access and equity in Linked Learning pathways, examining five groups of students frequently underserved by traditional schools.
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Analysis and prediction of heart rate using speech features from natural speech
We predict HR from speech using the SRI BioFrustration Corpus.In contrast to previous studies we use continuous spontaneous speech as input.
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FHE over the Integers: Decomposed and Batched in the Post-Quantum Regime
We propose a comprehensive study of applying third generation FHE techniques to the regime of FHE-OI. We present and analyze a third generation FHE-OI based on decisional AGCD without the…
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Speech recognition in unseen and noisy channel conditions
This work investigates robust features, feature-space maximum likelihood linear regression (fMLLR) transform, and deep convolutional nets to address the problem of unseen channel and noise conditions in speech recognition.
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Toward human-assisted lexical unit discovery without text resources
This work addresses lexical unit discovery for languages without (usable) written resources.
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Zeroizing Attacks on Indistinguishability Obfuscation over CLT13
In this work, we describe a new polynomial-time attack on the multilinear maps of Coron, Lepoint, and Tibouchi, when used in candidate indistinguishability obfuscation schemes.
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How big is that? Reporting the Effect Size and Cost of ASSISTments in the Maine Homework Efficacy Study
In this technical report, we present alternatives for explaining the effect size, building on the guidance of Lipsey et al., a leading researcher who developed broad recommendations for effect size…
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Graduation Outcomes of Students Who Entered New York City Public Schools in Grade 5 or 6 as English Learner Students
This study describes high school graduation outcomes for students who entered New York City schools in grade 5 or 6 as English learner students.