The integration of large language models and neuro-symbolic cognitive architecture within self-improving adaptive instructional systems is proposed for educational support. The developed never ending open learning adaptive framework (NEOLAF) and its hosting platform, the open learning adaptive framework (OLAF), exemplify advanced AI implementation. Proof of concept testing has been conducted to enhance mathematical problem-solving abilities and evaluate interactive agent deployment in learning environments.

One thing known to improve mental health among students is increased school connectedness—when students feel that the adults and peers in their school care about them as individuals in addition to their learning ability. Schools are working to improve their connectedness by adding social workers to their staff to help address the mental health concerns of students. However, according to new research from The University of Texas at Arlington and Virginia Commonwealth University, many individual schools and districts are struggling with the best way to deploy these valuable resources so that students can benefit from their care.

Asking children “What does a scientist look like?” now results in more illustrations of women and people of color than decades ago. But do generative artificial intelligence (AI) tools also depict the diversity among scientists? Researchers reporting in the Journal of Chemical Education prompted AI image generators for portraits of chemists. They found that none of the collections accurately represents the gender, racial or disability diversity among real chemists today.