The team at Tower Hill Botanical Gar

The team at Tower Hill Botanical Gar

FullSizeRender

FullSizeRender

NicoJumping

NicoJumping

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IMG_2728

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IMG_6808

Favorite

Favorite

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IMG_2719

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IMG_6788

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IMG_2707

The team at touch tomorrow event 201

The team at touch tomorrow event 201

Students using mathspring.org

Students using mathspring.org

Professor Ivon and her students havi

Professor Ivon and her students havi

Our Mission

Personalized Learning: Technologies that have the capability to allow learners to follow Multiple Trajectories through their learning experience, depending on abilities and preferences. See MathSpring.

 

Affect and Motivation: We study how to assess students’ affective states as they learn, and how to bring students back to optimal affective and motivational states for learning through a variety of Interventions. See MathSpring.

 

Metacognition: : We investigate how to promote good study habits as students learn, by helping them set goals, be strategic while performing an activity, seek for help, and reflect about their performance by self-monitoring and self-evaluating their progress. See MathSpring.

 

Active Physical Learning : We investigate how children can learn mathematics while exploring the physical space, getting a different understanding of math learning by gesturing, and using technology to guide them through 3D spaces.

Educational Games : We investigate how Games and Game-Like Elements can promote learning and motivation, and afford a better relationship to STEM.

Collaborations

Personalized Learning Working in close collaboration with the Center For Knowledge Communication at UMASS Amherst, and the ASSISTments group at WPI. : This research is supported by the National Science Foundation (NSF) #1324385 IIS/Cyberlearning DIP: Collaborative Research: Impact of Adaptive Interventions on Student Affect, Performance, and Learning and by the Office of Naval Research, # N0001413C0127; STEM Grand Challenges: Building an Effective and Efficient OPEN Tutor Platform. Any opinions, findings, and conclusions, or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of NSF or ONR.