John Cherniavsky

Computational and algorithmic thinking are new basic skills for the 21st century. Unfortunately few K-12 schools in the United States offer significant courses that address learning these skills. However many schools do offer robotics courses. These courses can incorporate computational thinking instruction but frequently do not. This research project aims to address this problem by developing a comprehensive set of resources designed to address teacher preparation, course content, and access to resources.

Computational and algorithmic thinking are new basic skills for the 21st century. Unfortunately few K-12 schools in the United States offer significant courses that address learning these skills. However many schools do offer robotics courses. These courses can incorporate computational thinking instruction but frequently do not. This research project aims to address this problem by developing a comprehensive set of resources designed to address teacher preparation, course content, and access to resources.

This project aims to engage students in meaningful scientific data collection, analysis, visualization, modeling, and interpretation. It targets grades 9-12 science instruction. The proposed research poses the question "How do learners conceive of and interact with empirical data, particularly when it has a hierarchical structure in which parameters and results are at one level and raw data at another?"

This pilot project aims to begin to organize the world's digital learning resources to make personalized recommendations to learners that are engaging and effective in increasing mathematics learning outcomes. The project accomplishes this goal by developing crowdsourcing techniques to organize learning resources and by analyzing the online learning activities of the student. Teachers are an integral part of this project. The target audience for this pilot is 7th grade mathematics students and teachers.

This pilot project aims to begin to organize the world's digital learning resources to make personalized recommendations to learners that are engaging and effective in increasing mathematics learning outcomes. The project accomplishes this goal by developing crowdsourcing techniques to organize learning resources and by analyzing the online learning activities of the student. Teachers are an integral part of this project. The target audience for this pilot is 7th grade mathematics students and teachers.

This pilot project aims to begin to organize the world's digital learning resources to make personalized recommendations to learners that are engaging and effective in increasing mathematics learning outcomes. The project accomplishes this goal by developing crowdsourcing techniques to organize learning resources and by analyzing the online learning activities of the student. Teachers are an integral part of this project. The target audience for this pilot is 7th grade mathematics students and teachers.

Using design-based research, with teachers as design partners, the project will create and refine project-based, hands-on robotics curricula such that science and math content inherent in robotics and related engineering design practices are learned. To provide teachers with effective models to capitalize on robotics for elucidating science and math concepts, a design-based Professional Development program will be built using principles of technological, pedagogical, and content knowledge (TPACK).