Why, What, and How should students learn for the age of A.I.?

The question above, and CCR’s 4-Dimensional Framework it kindled (diagram below), are the core of everything we do. It is the inspiration for our research and thought-leadership papers and the foundation of the curricula we have designed or redesigned.CCR's Framework Venn diagram of Knowledge, Skills, and Character overlapping, with Meta-Learning surrounding all three and the learner in the center. The knowledge circle is further defined with modernized disciplines, interdisciplinarity, & themes. Skill's competencies of creativity, critical thinking, communication, and collaboration are listed in its circle. Character's competencies of curiosity, courage, resilience, and ethics are listed in its circle. Meta-learning's competencies of metacognition and metaemotion are listed in its circle. An arrow with purpose, agency, and identity moving through motivation points to the right.

To serve themselves and society to the most fulfilling extent possible, students must develop in four Dimensions (4D) – Knowledge and three Competencies (aka Social-Emotional Learning (SEL)/21st Century Skills): Skills, Character, and Meta-Learning.

Of the four dimensions, traditional education pays by far the most attention to Knowledge (e.g., mathematics, reading). But with AI and a world of information at their fingertips, Knowledge is no longer sufficient. However, when Competencies are infused into Knowledge instruction, learners are better able to transfer what they’ve learned to new contexts and to apply those principles outside that discipline. In an age of AI, they must be taught through the drivers of Identity, Agency, and Purpose.

Our Courses

Professional Development (PD)

Classroom Curricula

Professional Development


CCR’s Professional Development for Competencies Course helps teachers learn how to infuse their content instruction with CCR’s 4D Framework competencies, model behavior that will resonate with their students, and recognize student growth. During sessions, teachers will create lessons they can use in their classrooms infused with these key competencies and get feedback on their plans from CCR’s experts and other participating teachers.

Computer Science

CCR’s 4D Computer Science (CS) Professional Development prepares all teachers, even those with no prior computer science knowledge, to teach modern and engaging secondary level computer science courses. The PD courses provide teachers with everything they need to teach the 4D CS student curriculum, which goes far beyond “just coding” to include AI and Machine Learning, cybersecurity, game & app development, and other modern topics as well as CCR’s competencies and computer science core concepts.

Modern Mathematics

CCR’s Modern Mathematics Professional Development prepares teachers to teach portions of CCR’s Modern Mathematics Curriculum, which was designed to rebalance existing mathematics curricula by removing obsolete topics to make time and space for more relevant material. The PD curriculum features those portions of CCR’s math curriculum missing from most current curricula. Within those topics it focuses on modernized context, essential content, and core concepts. Professional development is available for six subjects: Exponentials, Probabilities/Combinatorics, Bayesian Probabilities, Algorithms & Graph Theory, Complex Systems, and Game Theory.

Classroom Curricula

Computer Science

CCR’s 4D CS is a secondary level, four-year Computer Science program that makes modern content and skills accessible for students of all levels. 4D CS provides broad-scope content, competencies, and projects in CS-1 and CS-2 and advanced pathways in Game Development and App Development in CS-3 and CS-4. These courses allow learners to develop a deep knowledge of essential computer science enabling them to obtain certifications, entry-level jobs, and the foundational understandings needed for higher education courses of study (within or outside of computer science).

Modern Mathematics

CCR’s Modern Mathematics Curriculum focuses on modernized context, essential content, and core core concepts. Curricula are available for six subjects: Exponentials, Probabilities/combinatorics, Bayesian Probabilities, Algorithms & Graph Theory, Complex Systems, and Game Theory.

For more information on any of our courses, please contact us.