Gesture elicitation studies are commonly used for designing novel gesture-based interfaces. There is a rich methodology literature on metrics and analysis methods that helps researchers understand and characterize data arising from such studies. However,...

We trace the evolution of research on organizational learning. As organizations acquire experience, their performance typically improves at a decreasing rate. Although this learning-curve pattern is found in many industries, organizations vary in the rate ...

The expansive learning curve literature in operations management has established how various facets of prior experience improve average performance. In this paper, we explore how increased cumulative experience affects performance variability or ...

Mobile learning is expanding rapidly due to its accessibility and affordability, especially in resource-poor parts of the world. Yet how students engage and learn with mobile learning has not been systematically analyzed at scale. This study examines ...

Additive Factors Model is a widely used student model, which is primarily used for refining knowledge component models (Q-matrices). We explore the robustness and generalizability of the model. We explicitly formulate simplifying assumptions that the ...

We develop a machine learning (ML) based design space exploration (DSE) method that builds predictive models for various responses of a hybrid main-memory system. To overcome the challenges associated with latency, capacity, and power of memory systems ...

Despite the acknowledgment that learning is a necessary part of all gameplay, the area of Games User Research lacks an established evidence based method through which designers and researchers can understand, assess, and improve how commercial games ...

We propose a data driven method for decomposing population level learning curve models into mutually exclusive distinctive groups each consisting of similar learning trajectories. We validate this method on six knowledge components from the log data ...

R is one of the most popular languages in the data science, statistical and machine learning (ML) community. However, when it comes to scalable data analysis and ML using R, many data scientists are blocked or hindered by (a) its limitations of ...

Having insights into players' learning has important implications for design in an educational game. Empirical learning curve analysis is an approach from intelligent tutoring systems literature for measuring student learning within a system in terms of ...

Using the methodology of system dynamics, we model the effects of disruptive events on learning and productivity in organizations. We leverage the learning-by-doing and transactive memory system theories to model the underpinnings of learning processes ...

We study the hiring and retention of heterogeneous workers who learn over time. We show that the problem can be analyzed as an infinite-armed bandit with switching costs, and we apply results from Bergemann and Välimäki [Bergemann D, Välimäki J 2001 ...

Innovative capability, the knowledge a firm uses to innovate, is an input into and an output of the process of innovation. In this paper, I put forward the notion that innovative capability, similar to experience in production, accumulates by learning ...

We outline a theoretical model of organizational learning curves to account for the empirical regularities observed in the literature. The learning mechanism in our model is the gradual recognition of important stepping stones to achieving the goal. As ...

We analyze learning and knowledge transfer in a computing call center. The information technology (IT) technical services provided by call centers are characterized by constant changes in relevant knowledge and a wide variety of support requests. Under ...

The ability to remotely operate an unmanned vehicle while simultaneously looking for suspicious targets and then classifying those targets is not a trivial skill. This study looked at different training approaches to make better use of simulation as a ...

Organizational learning has been an important topic for the journal Organization Science and for the field. We provide a theoretical framework for analyzing organizational learning. According to the framework, organizational experience interacts with ...

To improve operational efficiencies while providing state of the art healthcare services, hospitals rely on information technology enabled physician referral systems (IT-PRS). This study examines learning curves in an IT-PRS setting to determine whether ...

Cultivating innovative-methods for learning a new Knowledge is a multidimensional and onerous-projectized-activity. It is one of the key considerations in technical training, distant learning(DL) and education industry. The advancement in computer Based ...

A basic question of instruction is how much students will actually learn from it. This paper presents an approach called learning decomposition, whichdetermines the relative efficacy of different types of learning opportunities. This approach is a ...