The research in this dissertation consists of two parts: An active learning algorithm for hierarchical labels and an embedding-based retrieval algorithm. In the first part, we present a new approach for learning hierarchically decomposable concepts. The approach learns a high-level classifier (e.g., location vs. non-location) by separately…

Primary literature searching and the utility of research articles in chemistry teaching and instructions provide connections between conceptual understanding and the application of chemical knowledge. Article citation tracking, an often-neglected dimension in literature exploration, expands information seeking and provides opportunities to track…

Formally describing and assessing the difficulty of learning and teaching material is important for quality assurance in university teaching, for aligning teaching and learning activities, and for easing communications among stakeholders such as teachers and students. This paper proposes a novel taxonomy to describe and quantify the difficulty…