Time advice and learning questions in computer simulations

Instructional advice, time advice and learning questions in computer simulations

Undergraduate students (N = 97) used an introductory text and a computer simulation to learn fundamental concepts about statistical analyses (e.g., analysis of variance, regression analysis and General Linear Model). Each learner was randomly assigned to one cell of a 2 (with or without instructional advice) x 2 (with or without time advice) x 2 (with or without learning questions) between subj...

E-Learning: some unanswered questions

Computer simulations of liquid/vapor interface in Lennard-Jones fluids: Some questions and answers

Canonical molecular dynamics MD and Monte Carlo MC simulations for liquid/vapor equilibrium in truncated Lennard-Jones fluid have been carried out. Different results for coexistence properties orthobaric densities, normal and tangential pressure profiles, and surface tension have been reported in each method. These differences are attributed in literature to different set up conditions, e.g., s...

Computer Networks E-learning Based on Interactive Simulations and SCORM

This paper introduces a new set of compact interactive simulations developed for the constructive learning of computer networks concepts. These simulations, which compose a virtual laboratory implemented as portable Java applets, have been created by combining EJS (Easy Java Simulations) with the KivaNS API. Furthermore, in this work, the skills and motivation level acquired by the students are...

Generating Real-Time Crowd Advice to Improve Reinforcement Learning Agents

Reinforcement learning is a powerful machine learning paradigm that allows agents to autonomously learn to maximize a scalar reward. However, it often suffers from poor initial performance and long learning times. This paper discusses how collecting on-line human feedback, both in real time and post hoc, can potentially improve the performance of such learning systems. We use the game Pac-Man t...