Most learning in the workplace occurs outside of formal learning environments—it happens informally, “in the field.” In … this review, we share what is known about how such informal field-based learning (IFBL) works, offer guidance on how to … promote healthy IFBL, and identify future research needs. We first situate IFBL within the broader stream of the learning …

Our research examines the role of prior knowledge in learning about really new products that make existing product … than those with lower prior knowledge. In Study 2, we demonstrate that inferior learning of new product information by …. When incentives for learning were provided after encoding but prior to retrieval, those with higher prior knowledge learned …

The aspect of learning and memory is developed on the basis of the development of learning abilities and its cognitive … elements. Within this paper we will reflect the factors, but also the techniques that directly affect the learning process. In … learning. As is well known, human intelligence facilitates the process of learning and memory, while learning enables the …

We analyze a dynamic principal-agent problem with moral hazard and private learning. Each period the agent faces a …

We have developed a method for directly learning relative preferences from histories of comparison information without … predicting novel context effects. Applying our theory to predicting choices under uncertainty leads to good fits with empirical …

Traditional macroeconomic learning algorithms are misspecified when all agents are learning simultaneously. In this … paper, we produce a number of learning algorithms that do not share this failing, and show that this enables them to learn … almost any solution, for any parameters, implying learning cannot be used for equilibrium selection. As a by-product, we are …

taught by the traditional method which focuses on relying on their memorization of long lists of vocabulary, rote learning …

community. Using the design-based research method from Learning Sciences, we investigate the GBSD framework by working …

deep learning models, including deep belief networks and deep Boltzmann machines. We show that (a) these deep generative …