Publications
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Findings from a two-year effectiveness trial of the Science Notebook in a Universal Design for Learning Environment
This cluster randomized control trial examines the effects of the Science Notebook in a Universal Design for Learning Environment (SNUDLE) on elementary school student science academic achievement and motivation outcomes.
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Risk for depression tripled during the COVID-19 pandemic in emerging adults followed for the last 8 years
The aim of this study was to examine longitudinal changes in depression risk before and during COVID-19 in a cohort of emerging adults in the U.S. and to determine whether…
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Screen Time Use Among US Adolescents During the COVID-19 Pandemic: Findings From the Adolescent Brain Cognitive Development (ABCD) Study
The aims of this study were to evaluate adolescents’ self-reported screen use during the pandemic and to assess mental health and resiliency factors associated with screen use.
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A Summary of PDG B-5 Grantee’s Coordinated Eligibility and Enrollment Activities and the Impact of COVID-19
In this report, we summarize the initial 23 Preschool Development Grant Birth through Five (PDG B-5) renewal states’ planned CEE activities.
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Elementary Teacher Adaptations to Engineering Curricula to Leverage Student and Community Resources
This paper addresses an important consideration for promoting equitable engineering instruction: understanding how teachers contextualize curricular materials to draw upon student and community resources.
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Metabolic Modeling with MetaFlux
The MetaFlux software supports creating, executing, and solving quantitative metabolic flux models using flux balance analysis (FBA).
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Generating and Evaluating Explanations of Attended and Error-Inducing Input Regions for VQA Models
Error maps can indicate when a correctly attended region may be processed incorrectly leading to an incorrect answer, and hence, improve users' understanding of those cases.
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Challenges in Procedural Multimodal Machine Comprehension: A Novel Way to Benchmark
We identify three critical biases stemming from the question-answer generation process and memorization capabilities of large deep models.
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Automated Student Group Collaboration Assessment and Recommendation System Using Individual Role and Behavioral Cue
We propose simple CNN deep-learning models that take in spatio-temporal representations of individual student roles and behavior annotations as input for group collaboration assessment.
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Brief Report: Replication of the Five-Factor Structure of the Autism Impact Measure (AIM) in an Independent Sample
The Autism Impact Measure is a caregiver-reported, behaviorally based measure designed to assess both frequency and functional impact of core ASD symptoms in children.
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Global Heading Estimation for Wide Area Augmented Reality Using Road Semantics for Geo-referencing
We present a method to estimate global camera heading by associating directional information from road segments in the camera view with annotated satellite imagery.
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Resilient Data Augmentation Approaches to Multimodal Verification in the News Domain
Building on multimodal embedding techniques, we show that data augmentation via two distinct approaches improves results: entity linking and cross-domain local similarity scaling.