Students in college are often expected to do a considerable amount of studying and learning outside of class hours, especially in online courses, which requires a high degree of self-regulation and metacognitive knowledge to study effectively. However, there are few opportunities for specifically learning self-regulation and metacognitive skills, especially early on in courses while there is…

Full title: Collaborative Research: Advancing STEM Online Learning by Augmenting Accessibility with Interactive Companionship

Videos are a popular option for online learning, and captions are essential for accessibility. Two types of captions exist: typical closed captions and explanatory captions. Closed captions…

This project brings together researchers in AI and agriculture, combining their expertise to promote advances in agriculture through AI. AIFARMS mission is to use core AI research areas such as computer vision, machine learning, data science, soft object manipulation, and intuitive human-robot interaction to address major challenges in agriculture:

• Sustainable intensification…

Researchers at NewHaptics Corporation and the University of Illinois at Urbana-Champaign are developing and testing software and hardware tools for faculty, staff, postdoctoral research fellows, and graduate students who are blind or have low vision, and who are working in college and university Chemistry, Mathematics, and Computer Science and Engineering and Information Sciences employment…

Breast cancer (BC) is a chronic illness. BC survivors often deal with the lifelong needs of self-management, such as controlling the symptoms, taking diet or nutrition plans, or adopting a physical activity program across their cancer survivorship continuum. Our team is eager to develop a novel technique to predict the intentions of lifestyle behavior by tracking ones' information behavior and…

This project aims improve upon a tool clinicians, researchers, and systematic reviewers use to retrieve biomedical articles from bibliographic databases. Associate Professors Halil Kilicoglu and Jodi Schneider will work with Affiliate Professor Neil Smalheiser, professor of psychiatry at the University of Illinois Chicago, on the project, which has received funding from the National Institutes…

The Midwest Big Data Hub (MBDH) is a network of regional institutions created to facilitate collection, management, and use of complex information, creating active partnerships of experts and resources to address issues relevant to life in the Midwest.

MBDH aims to help member organizations working in Big Data coordinate…

Nearly one million adults live with multiple sclerosis (MS) in the U.S. Given that there is no cure for MS, self-management of health is essential for people with MS (PwMS). The project aims at bridging theories in social and behavioral sciences (such as health literacy, Health Action Process Approach) to build lifelong-learning user models, elibrary system, and new algorithms for providing…

Nowadays, as an intrinsic property of big data, data heterogeneity can be seen in a variety of real world applications, ranging from security to manufacturing, from healthcare to crowdsourcing. Many high-impact data mining applications exhibit the co-existence of multiple types of heterogeneity, such as different classification tasks, different data sources, and different labeling oracles.…

Policy in areas such as conservation, energy, healthcare, and sustainable development is informed by a variety of factors, including the best available science. Determining the best available science requires synthesizing multiple scientific results to gauge both the level of scientific consensus and the reliability of the research. However, on some policy-relevant topics, syntheses continue…