Doris B. Chin

TL;DR: In this article, the authors compared the effects of "telling" students before and after problem solving in physics and found that students in a tell-and-practice condition were better learned the ratio structure of the physical phenomena and transferred more frequently to semantically unrelated topics that also had a ratio structure (e.g., spring constant).

TL;DR: Betty's Brain this paper is a computer-based learning environment that capitalizes on the social aspects of learning in which students instruct a character called a Teachable Agent (TA) which can reason based on how it is taught.

TL;DR: Teachable Agents (TA) as mentioned in this paper is an instructional technology that draws on the social metaphor of teaching a computer agent to help students learn, where students teach their agent by creating concept maps.

TL;DR: Teachable Agents (TA) as mentioned in this paper is an instructional technology that draws on the social met- aphor of teaching a computer agent to help students learn, where students teach their agent by creating concept maps.

TL;DR: The Collaborative, Computational STEM (C2STEM) learning environment as mentioned in this paper adopts a novel paradigm that combines visual model building with a domain-specific modeling language (DSML) to scaffold learning of high school physics using a computational modeling approach.