WE CALL PIS & STUDENTS FROM THE FOLLOWING FIELDS
• neuroscience • learning sciences• education • engineering • cognitive science • linguistics • technology • computer science • robotics• and other disciplines to offer ideas for developing game-changing technologies/tools/products/programs to revolutionize the learning and education world.
FUNDING AND DURATION OF FUNDING
Each project will receive funding equivalent to 125% fellowship* (M.Sc, PhD or postdoc) for one year with an option for extension to a second year.
The PI is requested to submit a project with a selected student candidate.
PIs who do not already have a student candidate for the fellowship or relevant candidates that are searching for a PI can be assisted by the school to find a potential one, please contact Dr. Dana Bar-On: firstname.lastname@example.org
*Final budget and number of fellowships distributed are subjected to final approval by the university.
CHALLENGES IN FOCUS
Using AI and big data approaches for personalized learning (with relevancy to higher education).
Implementing neuroscience based technologies and methodologies to examine new approaches for learning enhancement and monitoring of learning and for understanding mechanisms of learning
Quantitative and objective online monitoring of learning, motivation, concentration
New technological tools for online and collaborative learning in higher education
Creative models and platforms for blended learning in higher education
Technological solutions for assisting/supporting learning in populations with special needs (with relevancy to higher education).
Exploring and building research based new technological learning environments and experiences (using VR, AR etc.)
Priority will be given to projects related or targeting the university itself – programs, tools, products etc. that can be applied and tested on the students on campus.
The application should state specifically how can the proposal be tested and validated with preference to higher education implementation.
THE CRITERIA FOR THE PROJECT SELECTION WILL BE:
High research quality of the project and expected impact in the field (40%)
Excellent track record and leadership skills of the Minducate fellow leading the project (40%)
A clear applied potential in the field of science of learning, preferably to be executed on campus (in higher education) (20%)
MENTORSHIP AND TRAINING
The Minducate fellows and their PIs will attend specific training and personal mentoring with professional mentors from the business, educational, technological and industry ecosystem to equip them with entrepreneurial as well as R&D skills assist with advancing their research projects from ideation to application.
The Minducate students will be expected to participate in all Minducate activities (events, seminars, conferences and courses – monthly basis).