Methods for multifidelity optimization under uncertainty, multifidelity Monte Carlo, adaptive reduced models, and educational mapping
http://kiwi.mit.edu/
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Multifidelity optimization under uncertainty, multifidelity Monte Carlo, adaptive reduced models and educational mapping. Professor of AeroAstro at MIT, co-Director of the MIT Center for Computational Engineering." | kiwi.mit.edu Reviews
https://kiwi.mit.edu
Methods for multifidelity optimization under uncertainty, multifidelity Monte Carlo, adaptive reduced models, and educational mapping
kiwi.mit.edu
Ed tech to enable instructors to provide scalable, differentiated instruction | FbW
http://kiwi.mit.edu/education/department-of-education-fitw-fbw
Curriculum mapping in higher-ed. Enabling Scalable Differentiated Instruction. Department of Education FIPSE · Program officer Dr. Frank Frankfort. Casey Sacks at Colorado Community College System,. Dale Allen at Quinsigamond Community College,. MIT Office of Digital Learning,. In 2015, we were awarded a Department of Education First in the World Development Grant to develop Scalable Differentiated Instruction. In this sense, flying an airplane is not unlike teaching a class instructors bear heavy worklo...
Work in parameterized model reduction, parametric reduced models, decomposition based uncertainty quantification and decomposition based UQ.
http://kiwi.mit.edu/group.php
Curriculum mapping in higher-ed. A great showing from almost the whole research group to train together and participate in the Tough Mudder event in June 2013. My research group currently has 9 graduate students and 3 postdoctoral associates. The group's research agenda spans the MIT Center for Computational Engineering. And the MIT Aerospace Computational Design Lab. Over 40 students have graduated from the group and now hold positions within academia and industry worldwide. Chad E Lieberman Consulting.
Linking topics through prerequisites across the undergraduate curriculum
http://kiwi.mit.edu/education/crosslinks
Curriculum mapping in higher-ed. Tagging topics on a student-authored platform. MIT Alumni Class Funds 2010, MIT Alumni Class Funds 2015, MIT Office of Digital Learning, The Lord Foundation. In collaboration with Luwen Huang, Chad Lieberman, Haynes Miller, Dipa Shah. Was thus created as an MIT-wide, student-driven community site where students can share materials deemed to be helpful. Next project (Flashforward / Flashback). Karen E. Willcox. Professor of Aeronautics and Astronautics. Cambridge, MA 02139.
Publications on parametric model reduction, goal oriented inverse problems, multifidelity optimization under uncertainty, adaptive reduced models & other interesting papers.
http://kiwi.mit.edu/publications.php
Curriculum mapping in higher-ed. Preprint, arXiv.org, November 2016. Willcox, K., Sarma, S., Lippel, P. "Online Education: A Catalyst for Higher Education Reforms.". Final report of the MIT Online Education Policy Initiative, April 2016. Final report of the Institute-wide Task Force on the Future of MIT Education. Report of the DOE Workshop on Mathematics for the Analysis, Simulation, and Optimization of Complex Systems, September 2011. The National Academies Press, Washington D.C., 2008. Willcox K. ...
Mapping learning outcomes, learning analytics, curriculum mapping, competency mapping, topics and math, ed tech in blended classrooms.
http://kiwi.mit.edu/education.php
Curriculum mapping in higher-ed. I am active in teaching, educational research and technology development, and leadership of educational strategy and policy initiatives. My educational research has pioneered educational mapping efforts at MIT and led to the development of educational technologies that are used in various institutions around the world. The Mapping Lab: Research and development of next-generation data analytics and visualization technologies for education. At The Mapping Lab. Funded by MIT...
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How to build adaptive learning systems and why we need mapping for learning outcomes
http://mapping.mit.edu/building-outcomes-knowledge-graph-adaptive-learning
Tags: Content maps, adaptive learning, recommender systems. Created using Xoces.js. What is outcomes mapping? Learning outcomes specify what learners will know or be able to do as a result of a learning activity. Related terms you might hear are learning objectives, learning goals and intended learning outcomes. While there are subtle differences among these, they all fit our outcomes mapping framework discussed here. You can't do sophisticated analysis on a list. This is where mapping comes in. Drawing ...
Mapping higher-ed curriculum: a digital guide to web-based curriculum mapping
http://mapping.mit.edu/how-to-create-digital-curriculum-map
Interactive visualizations of learning pathways over the MIT undergraduate curriculum. From left to right: Subject units distributions; Prerequisite relationships; OpenCourseWare coverage. Maps created and embedded using the Rhumbl Mapping Engine. Our Curriculum Maps formalize the process of modeling curricular data in a structured form and, importantly, they formally model the connections among curricular entities. We create a graph-based model of the curriculum: each class is modeled as a node.
Co-Leads - SUTD-MIT International Design Centre
https://idc.sutd.edu.sg/people/co-leads
IDC WORK SPACE REQUEST. Head of Pillar and Professor. Head of Pillar and Professor. Design with the Developing World. Design with the Developing World. Design with the Developing World. ICT-enabled Devices for Better Living. Aditya P. Mathur. ICT-enabled Devices for Better Living. Aditya P. Mathur. Head of Pillar and Professor. ICT-enabled Devices for Better Living. Architecture and Sustainable Design (ASD). Engineering Product Development (EPD). Engineering Systems and Design (ESD).
Create interactive concept maps by tagging measurable outcomes to topics to help students understand what they're learning.
http://mapping.mit.edu/tagging-concept-maps-learning-objectives-for-assessing-learning
Created and embedded using the Rhumbl Mapping Engine. So why are current practices of topics listings insufficient to support these new educational models? A list implies a step-by-step progression, starting from one to the next, which is counter to the desire to be flexible, personalized and/or adaptive. A list fails to capture the relationships among topics. What if Topic 5 can only be consumed after Topic 3 but does not require Topic 2? You can't do sophisticated analysis on a list.
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Multifidelity optimization under uncertainty, multifidelity Monte Carlo, adaptive reduced models and educational mapping. Professor of AeroAstro at MIT, co-Director of the MIT Center for Computational Engineering."
Curriculum mapping in higher-ed. Karen E. Willcox. MIT Center for Computational Engineering. Multi-fidelity uncertainty quantification, multi-fidelity optimization under uncertainty, adaptive reduced models, and data to decisions in aerospace engineering. Massachusetts Institute of Technology. Cambridge, MA 02139. And new multi-fidelity formulations. Willcox is Associate Fellow of the AIAA and member of SIAM, ASEE and ASME. She has served in multiple leadership positions within AIAA and SIAM, includi...
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