This dissertation proposes novel Domain Adaptation (DA) methods in real-world industrial settings, where the availability of labeled data is limited and test data can significantly differ from training data. Particularly, our research addresses key challenges in DA, including the applicability of DA methods in industrial settings, strategies to…

Community partnerships present opportunities for expanding students' learning experiences outside traditional classroom settings. However, under-resourced low-income communities often lack access to such opportunities. This qualitative study explores how high school teachers, community liaisons, and community partners establish and sustain…