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Student engagement is a key predictor of academic achievement and is closely linked to career awareness, interest, and preparedness. Measuring student engagement during STEM learning is challenging for teachers, given the dynamic and ever-changing nature of these learning environments. Even when engagement data can be collected, leveraging this information to refine and personalize instruction requires significant experience and time. To address this, we are developing Scoutlier EngagEd, a digital teaching assistant that embeds in existing Learning Management Systems (LMS) to automatically and invisibly gather multidimensional data on student engagement and performance during STEM learning. These data are being leveraged to model student learning and generate insights that produce human-like, actionable recommendations through a Large Language Model (LLM) for teachers to improve STEM learning outcomes. 

Arthonia frostiicola and A. galligena are described as new to science based on collections from mountainous regions of southeastern North America. Arthonia frostiicola infects the saxicolous lichen Dirinaria frostii, producing emarginate black apothecia which erupt from within the host thallus. It is characterized by a dark hypothecium and 1-septate, obovoid ascospores which turn brownish and verruculose in age. It is known from five collections made in the southern Appalachian Mountains and Ozark Mountains in southeastern North America. Arthonia galligena produces galls in the thallus and apothecia of the corticolous lichens Lecanora masana and L. rugosella, and is apparently endemic to the high elevations of the southern Appalachian Mountains. It is characterized by a variably pigmented, pale to red-brown hypothecium and 2-septate, macrocephalic ascospores which turn brownish and verruculose in age. Keys to the species of Arthonia on Caliciales and Lecanoraceae are provided. 

Abstract Butterflies are a diverse and charismatic insect group that are thought to have evolved with plants and dispersed throughout the world in response to key geological events. However, these hypotheses have not been extensively tested because a comprehensive phylogenetic framework and datasets for butterfly larval hosts and global distributions are lacking. We sequenced 391 genes from nearly 2,300 butterfly species, sampled from 90 countries and 28 specimen collections, to reconstruct a new phylogenomic tree of butterflies representing 92% of all genera. Our phylogeny has strong support for nearly all nodes and demonstrates that at least 36 butterfly tribes require reclassification. Divergence time analyses imply an origin ~100 million years ago for butterflies and indicate that all but one family were present before the K/Pg extinction event. We aggregated larval host datasets and global distribution records and found that butterflies are likely to have first fed on Fabaceae and originated in what is now the Americas. Soon after the Cretaceous Thermal Maximum, butterflies crossed Beringia and diversified in the Palaeotropics. Our results also reveal that most butterfly species are specialists that feed on only one larval host plant family. However, generalist butterflies that consume two or more plant families usually feed on closely related plants.