Quantum mechanics (QMs) is a foundational subject in many science and engineering fields. It is difficult to teach, however, as it requires a fundamental revision of the assumptions and laws of classical physics and probability. Furthermore, introductory QM courses and texts predominantly focus on the mathematical formulations of the subject and…

This report provides information about an interactive computer game named Say My Name that allows high school and undergraduate students to review individually nomenclature of organic compounds in an engaging and fun way by answering up to 600 questions distributed in three difficulty levels. Responses from students and teachers who have played…

Although Text-To-Speech (TTS) synthesis has been little used in Computer-Assisted Language Learning (CALL), it is ripe for deployment, particularly for minority and endangered languages, where learners have little access to native speaker models and where few genuinely interactive and engaging teaching/learning materials are available. These…

iCivics, a free online, civics education program created by Supreme Court Justice Sandra Day O'Connor, is aligned to state and national standards to teach core civics content. The research question for this study is: Does spending at least 30 minutes on the iCivics interactive web site 2 times per week improve student scores on a civics test? A…

In the field of electricity markets, the development of training tools for engineers has been extremely useful. A novel experimental economics approach based on a computational Web platform of an electricity market is proposed here for the practical teaching of electrical engineering students. The approach is designed to diminish the gap that…

Teachable agent is a type of pedagogical agent which instantiates Learning-by-Teaching theory through simulating a "naive" learner in order to motivate students to teach it. This paper discusses the limitation of existing teachable agents and incorporates intrinsic motivation to the agent model to enable teachable agents with initiative…