In this paper we explored the relationship between metacognitive statements and learning gains with students’ typed and spoken interactions with an intelligent tutoring system, c...
Jeremiah Sullins, Moongee Jeon, Sidney K. D'Mello,...
Context-sensitive Multiple Task Learning, or csMTL, is presented as a method of inductive transfer that uses a single output neural network and additional contextual inputs for le...
The product line for software systems (PL) approach has been touted recently as one of the most promising development approach for gains in product quality, time to market and cost...
Imitation is a powerful mechanism whereby knowledge may be transferred between agents (both biological and artificial). Key problems on the topic of imitation have emerged in vario...
Aris Alissandrakis, Chrystopher L. Nehaniv, Kersti...
Active objects offer a structured approach to concurrency, encapsulating both unshared state and a thread of control. For efficient data transfer, data should be passed by referenc...