In this work we describe a novel deep reinforcement learning neural network architecture that allows multiple actions to be selected at every time-step. Multi-action policies allows complex behaviours to be learnt that are otherwise hard to achieve when using single action selection techniques. This work describes an algorithm that uses both imitation learning (IL) and temporal difference (TD) ...

Ultra-large-scale interactive systems on the Internet have begun to change how teachers prepare for instruction, particularly in regards to resource selection. Consequently, it is important to look at how teachers are currently selecting resources beyond content or keyword search. We conducted a two-part observational study of an existing popular system called TeachersPayTeachers hypothesizing ...

Ultra-large-scale interactive systems on the Internet have begun to change how teachers prepare for instruction, particularly in regards to resource selection. Consequently, it is important to look at how teachers are currently selecting resources beyond content or keyword search. We conducted a two-part observational study of an existing popular system called TeachersPayTeachers hypothesizing ...

Societal progress requires humans to excel at cooperation over time. To sustain successful cooperation, people coordinate, especially about who is in the best position at any given moment to make the best decision or to take the best action for the team as a whole. We used a novel cooperation task between involving dynamic assignment of Teacher and a Learner under conditions of uncertainty both...

This article describes the development of Open Educational Resources (OER) through an expert system (SE) to supplement the teaching-learning process, and thus fulfill the main requirements for easy addition to OER repositories. The development process is based on the technological model for the creation of OER proposed in 2014. These resources support learning and teaching practice increasing t...

Clustering is a procedure in which objects are distiguished or classified in accordance with their similarity. There is no teacher to provide guidance, hence it is also called unsupervised classification. According to the theory of classification, clustering methods may be treated as classification methods that utilize minimal information about classified objects (their features). A data set pa...

Knowledge engineers are efficient, active learners. They systematically approach new domains and acquire knowledge to solve routine, practical problems. By modeling their methods, we may develop a basis for teaching other students how to direct their own learning. In particular, a knowledge engineer is good at detecting gaps in a knowledge base and asking focused questions to improve an expert ...