Learning Assessment:

• Big data multimodal learning analytics tools for automated assessment in project based education
• Research on cognitive and non-cognitive learning gains, spatial reasoning, self-efficacy, and social networks within makerspaces
• Identification of intervention points through longitudinal research 
• Multi-country comparative learning outcome studies

 

Tools: 

• Tangible/Virtual interfaces for learning
• Low cost robotics
• Next generation biomaking tools

 

Environments: 

• Design of the physical and virtual environments for constructionist learning

Instructional Methodologies: 

• Inquiry and experimentation strategies
• Interactive simulations vs. physical manipulative environments
• Bifocal modeling for science teaching: reconciliation of discrepant events between physical experiments and virtual models
• Order of instruction and preparation for future learning

 

Socio-Cultural Factors: 

• Impact on under-resourced and under-privileged student populations
• Gender issues in making
• Identity and self-efficacy in makerspaces

 

Implementation Models: 

• Proof of concept, school, district, state and national implementation models for public education