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Data Games: Tools and Materials for Learning Data Modeling (Collaborative Research: Konold)

Principal Investigator:
Clifford Konold
Co-Principal Investigator(s):
William Finzer
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Discipline/Topic:
Mathematics
Technology
Target Audience:
Middle School
  • Read more about Data Games: Tools and Materials for Learning Data Modeling (Collaborative Research: Konold)

The Leonardo Project: An Intelligent Cyberlearning System for Interactive Scientific Modeling in Elementary Science Education

Principal Investigator:
James Lester
Co-Principal Investigator(s):
Bradford Mott
Eric Wiebe

Michael Carter

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Discipline/Topic:
Science
Target Audience:
Elementary School
Project Website:
http://www.intellimedia.ncsu.edu/leonardo/
  • Read more about The Leonardo Project: An Intelligent Cyberlearning System for Interactive Scientific Modeling in Elementary Science Education

Ready for Robotics: The Missing T and E of STEM in Early Childhood Education

Principal Investigator:
Marina Bers
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Discipline/Topic:
Engineering
Technology
Target Audience:
Pre-Kindergarten
Elementary School
  • Read more about Ready for Robotics: The Missing T and E of STEM in Early Childhood Education

ScratchJr: Computer Programming in Early Childhood Education as a Pathway to Academic Readiness and Success (Collaborative Research: Bers)

Principal Investigator:
Marina Bers
Co-Principal Investigator(s):
Mitchel Resnick
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Discipline/Topic:
Technology
Target Audience:
Pre-Kindergarten
Elementary School
  • Read more about ScratchJr: Computer Programming in Early Childhood Education as a Pathway to Academic Readiness and Success (Collaborative Research: Bers)

Investigations in Cyber-enabled Education (ICE)

Principal Investigator:
Kathy Berry Bertram
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Discipline/Topic:
Mathematics
Science
Technology
Target Audience:
Middle School
High School
  • Read more about Investigations in Cyber-enabled Education (ICE)

Electronic Teacher Guide: Its Development and Use in Supporting Educative Curricula

Principal Investigator:
Jacqueline Miller
Co-Principal Investigator(s):
William Tally
Structured Poster:
Y
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Powerpoint Presentation:
Miller_PPT.pdf
Discipline/Topic:
Science
Technology
Target Audience:
High School
  • Read more about Electronic Teacher Guide: Its Development and Use in Supporting Educative Curricula

Zydeco: A Mobile "Nomadic Inquiry" System to Support and Bridge Science Inquiry Between Classroom and Museum Contexts

Principal Investigator:
Christopher Quintana
Co-Principal Investigator(s):
Joseph Krajcik
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Discipline/Topic:
Science
Technology
Target Audience:
Middle School
  • Read more about Zydeco: A Mobile "Nomadic Inquiry" System to Support and Bridge Science Inquiry Between Classroom and Museum Contexts

Crisis in K-16 STEM Education: A Regional Conference to Promote Local Solutions to a National Problem

Principal Investigator:
Laurie Miller-McNeill
Co-Principal Investigator(s):
Edmund W Gordon
Eleanor Armour-Thomas
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Discipline/Topic:
Engineering
Mathematics
Science
Technology
Target Audience:
Elementary School
Middle School
High School
  • Read more about Crisis in K-16 STEM Education: A Regional Conference to Promote Local Solutions to a National Problem

CalipersII: Using Simulations to Assess Complex Science Learning

Principal Investigator:
Edys Quellmalz
Co-Principal Investigator(s):
Barbara Buckley
Mark Loveland
Michael Timms
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Assessment Methods:
Knowledge Specification
Machine Learning
Discipline/Topic:
Science
Technology
Target Audience:
Middle School
Project Profile:
CADREK12 Project Profile
Project Website:
http://www.simscientists.org
  • Read more about CalipersII: Using Simulations to Assess Complex Science Learning

SimScientists Human Body Systems: Using Simulations to Foster Integrated Understanding of Complex, Dynamic, Interactive Systems

Principal Investigator:
Barbara Buckley
Co-Principal Investigator(s):
Daniel Brenner
George DeBoer
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Discipline/Topic:
Science
Technology
Target Audience:
High School
  • Read more about SimScientists Human Body Systems: Using Simulations to Foster Integrated Understanding of Complex, Dynamic, Interactive Systems

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This project is funded by the National Science Foundation, grant # 0822241, 1449550, 1650648, 1743807, 1813076 and 2100823. Any opinions, findings, and conclusions or recommendations expressed in these materials are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

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