Co-evolving the OpenEvo Educational Design Concept
with emerging advances in Artificial Intelligences
AI is an interdisciplinary topic that presents completely novel challenges to, and unparalelled opportunities for, existing models of education.
Building on the OpenEvo Educational Design Concept, we are developing foundational supports for needed interdisciplinary innovations at the intersection of evolution, behavior, and sustainability sciences. We are working to map the structure of our educational innovation labs and interdisciplinary database system to the challenges and opportunities presented by emerging AI technology.
Areas of application for OpenEvo AI innovations
We are focusing our innovations around selected strategies within the broadly overlaping spaces of educational design, community science, and open science.
More specifically, our aim is to support the development of an interdisciplinary field of Computational Curriculum Studies, which can support Knowledge Graphs and AI Agents with applied value for integrating our resources and approaches into classrooms and school curricula around the world.
Our AI Innovation Project Space
Computational Curriculum Studies
OpenEvo aims to support the emergence of an ethical and critical approach to the nascent field of Computational Curriculum Studies, the interdisciplinary study of the use of information technologies to describe, analyze, represent, and improve the design of learning pathways in formal education contexts.
OpenEvo Guide to Using AI Tools for Lesson Development
This document is intended to give you some ideas on how you can use Artificial Intelligence (AI) to design a lesson or unit that integrates competencies in Education for Sustainable Development, concepts of human behavior and behavioral science, and topics of sustainable development.
EvoFlex
A collaborative project space for developing open tools for research into the evolutionary reasoning of students, experts, and AIs.
Machine Behavior & Agency
How should we think about the actions and functions of machines in society? How can a science of machine behavior help us understand and influence the evolving computational systems that increasingly influence the world at large?
