A lot of times, people don’t know what they want until you show it to them.
– Steve Jobs
One of our framework’s competencies is curiosity, and at CCR we consider it crucial to integrate it into all that we do. In our work, we’ve developed several software products and applications to help us conduct novel research and to support our courseware and development. We enjoy playing with and leveraging these tools in our work, and so we’ve shared some of them here. We hope you enjoy playing too!
World Literature Texts is a curated database of world literature, containing 345 works from 20 cultures. Works were evaluated against accessibility, modernity and relevance, diversity and representation, message, and merit to determine inclusion. Included texts are tagged to categories such as literary period, topic, and genre. The database helps users connect the texts to the present and future and to other domains such as history and philosophy.
The World History website is a curated database of 770+ global items (670 events and more than 100 artifacts). Content is tagged to categories such as areas, epochs, and related events, enabling a learner to see the ways in which history is interconnected. Learners can use these distilled lessons from history to “think like an historian” and transfer learning from one context to another.
The Passion Projects Portal is designed to cultivate curious, engaged, and passionate learners through a 4-part progression of growing learners’ interests into deeper passions. The portal contains 340 exemplary learning experiences: brief Investigations, deeper Explorations, and project Adventures and Quests. Using a number of search options, including project categories and competencies, teachers can find the perfect project plans for their students.
The JobNeeds Explorers allow users to see the relative importance of Competencies for different types of jobs. In aggregate, the data shows that Knowledge is necessary but not sufficient, and that employability implies demand for the Competencies that CCR advocates.
The Bayesian Toolkit visualizes the components of probability questions by stepping through each component used in Bayes’ Theorem. Students can compare several visuals at each stage, giving them a deeper understanding of how the problems work, why we get surprising results, and how to interpret the answers in the context of the problem. Users can select to display up to four visualizations at a time, re-label numerical values, and have the final result unveiled in steps. Users can add a custom problem and save a link to share the problem with others.
This tool was created to explore if there is an automated or semi-automated way to extract the Core Concepts of a given Discipline by using Physics as an example. Using a neural network trained to determine the relationships between words and then assigning those words positions in a 300 dimensional space so that strongly related words are placed in close proximity to one another, the extractor creates an interactive 3D visualization of physics concepts. Users can filter by topic and explore the relationships between concepts.