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…
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…
Many digital archival collections are limited due to factors such as privacy concerns and copyright. AEOLIAN combines innovative AI methods and the knowledge of scholars from multiple cultural institutions to address the accessibility of these collections, ultimately making them more accessible. Additionally, the project aims to foster collaboration amongst scholars and practitioners from…
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:
Will distributed computing revolutionize peace?
In the future, military operations will rely less on human soldiers and more on interconnected technology, leveraging advancements in unmanned systems and machine intelligence in order to achieve superior defense capabilities. The Internet of Battlefield Things (IoBT) will connect soldiers with smart technology in armor, radios, weapons,…
Federal Ministry of Education and Research (Germany)
A continuation of a previous pilot study, this project aims to detect transferrable knowledge across several domains. In the pilot study, the researchers demonstrated the feasibility of this idea by using inductive and deductive methods to identify relevant impact categories and patterns for the domain of electromobility. These methods included interviews, information extraction, natural…
Media plays a big role in how citizens evaluate public health emergencies. This project seeks to understand how public health emergencies such as the COVID-19 pandemic and the opioid crisis are reported. In order to assess the polarization and politicization of U.S. news coverage, we are comparing news by political leaning (left, center, right) as segmented by AllSides media bias ratings. We…
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…
