Introduction With support from the William and Flora Hewlett Foundation, SRI Education conducted a statewide study examining the role County Offices of Education (COEs) play in supporting arts education in California. This study follows a 2007 study of arts education in California, An Unfinished Canvas, and its recent 2020 update, Creativity Challenge. A key finding […]
We describe a large-scale experiment in which non-artificial intelligence subject matter experts (SMEs)—with neither artificial intelligence background nor extensive training in the task—author knowledge bases (KBs) following a challenge problem specification with a strong question-answering component.
Automated Student Group Collaboration Assessment and Recommendation System Using Individual Role and Behavioral Cues
Early development of specific skills can help students succeed in fields like Science, Technology, Engineering and Mathematics. Different education standards consider “Collaboration” as a required and necessary skill that can help students excel in these fields.
Towards Understanding Confusion and Affective States Under Communication Failures in Voice-Based Human-Machine Interaction
We present a series of two studies conducted to understand user’s affective states during voice-based human-machine interactions. Emphasis is placed on the cases of communication errors or failures.
In this paper, we show that leveraging NAS for incremental learning results in strong performance gains for classification tasks.
Vaccines help reduce new infections, but interventions that can prevent the disease from transitioning to a severe stage are rather limited. Dysregulated IFN kinetics are mostly exploited by pathogenic viruses, including SARS-CoV-2.
We examine how the saccade mechanism from biological vision can be used to make deep neural networks more efficient for classification and object detection problems. Our proposed approach is based on the ideas of attention-driven visual processing and saccades, miniature eye movements influenced by attention.
A virtual reality-based mind–body approach to downregulate psychophysiological arousal in adolescent insomnia
A novel, digital, immersive virtual reality (VR)-based mind–body approach, designed to reduce bedtime arousal in adolescents with insomnia.
This paper extends previous work on conformal prediction for functional data and conformalized quantile regression…
We present VALET, a framework for rule-based information extraction written in Python.
This report offers a framework for reviewing CoolThink@JC’s accomplishments to date and computational thinking education (CTE) initiatives in other jurisdictions.
This paper presents a new 3D time-space detector for small ships in single look complex (SLC) synthetic aperture radar (SAR) imagery, optimized for small targets around 5-15 m long that are unfocused due to target motion induced by ocean surface waves.
Measuring the multidimensionality of educators’ approaches to diversity: Development of the in-service teacher multicultural education model
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.
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.
Class imbalance is a fundamental problem in computer vision applications such as semantic segmentation.