SRI Authors: Krystal Thomas Abstract The purpose of this study was to examine the latent construct of multicultural education (ME) among 1887 in-service teachers. Using existing ME scales and Banks’ five-pillar framework to capture relevant classroom, school, and community-level contexts, we generated and tested 48 survey items. This study revealed a six-factor model solution representing teachers’ ME. […]
Publications
An evaluation of a first-of-its-kind hybrid law degree program
SRI Authors: Rebecca Griffiths, Claire Christensen Abstract There are few published studies investigating the effectiveness of hybrid formats at the program level in graduate legal education. A hybrid Juris Doctorate (J.D.) program launched by a Midwestern institution was the first ABA-accredited law degree program with a substantial online learning component. This study takes a mixed […]
Striking the Right Balance: Recall Loss for Semantic Segmentation
SRI author: Han-Pang Chiu Abstract Class imbalance is a fundamental problem in computer vision applications such as semantic segmentation. Specifically, uneven class distributions in a training dataset often result in unsatisfactory performance on under-represented classes. Many works have proposed to weight the standard cross entropy loss function with pre-computed weights based on class statistics, such […]
Graph Mapper: Efficient Visual Navigation by Scene Graph Generation
SRI authors: Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar Abstract Understanding the geometric relationships between objects in a scene is a core capability in enabling both humans and autonomous agents to navigate in new environments. A sparse, unified representation of the scene topology will allow agents to act efficiently to move through their environment, communicate the […]
SASRA: Semantically-aware Spatio-temporal Reasoning Agent for Vision-and-Language Navigation in Continuous Environments
SRI authors: Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar Abstract This paper presents a novel approach for the Vision-and-Language Navigation (VLN) task in continuous 3D environments, which requires an autonomous agent to follow natural language instructions in unseen environments. Existing end-to-end learning-based VLN methods struggle at this task as they focus mostly on utilizing raw visual […]
Pathway Tools Management of Pathway/Genome Data for Microbial Communities
SRI Authors: Peter D Karp Abstract The Pathway Tools (PTools) software provides a suite of capabilities for storing and analyzing integrated collections of genomic and metabolic information in the form of organism-specific Pathway/Genome Databases (PGDBs). A microbial community is represented in PTools by generating a PGDB from each metagenome-assembled genome (MAG). PTools computes a metabolic […]
Sparking Connections: Evaluations of Mobile Messaging on Responsive Caregiving
SRI Authors Elisa Garcia, Sarah Nixon Gerard, Claire Christensen, Tejaswini Tiruke, Carolina Zamora, Todd A. Grindal Abstract Mobile messaging programs are a low-cost, scalable approach to building parents’ knowledge and capacity to support their children’s development. These programs directly deliver simple and straightforward information, tips, and activities that parents can incorporate into daily routines. Yet […]
Head-Worn Markerless Augmented Reality Inside a Moving Vehicle
SRI authors: Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar Abstract This paper describes a system that provides general head-worn outdoor augmented reality (AR) capability for the user inside a moving vehicle. Our system follows the concept of combining pose estimation from both vehicle navigation system and wearable sensors to address the failure of commercial AR devices […]
SIGNAV: Semantically-Informed GPS-Denied Navigation and Mapping in Visually-Degraded Environments
SRI authors: Han-Pang Chiu, Supun Samarasekera Abstract Understanding the perceived scene during navigation enables intelligent robot behaviors. Current vision-based semantic SLAM (Simultaneous Localization and Mapping) systems provide these capabilities. However, their performance decreases in visually-degraded environments, that are common places for critical robotic applications, such as search and rescue missions. In this paper, we present […]
