I also see great promise of intelligent things in tomorrow’s classroom. As a math and physics teacher, I am continually seeking out new and efficient ways to assess my student’s understanding. While assessment is an essential pillar to education, it often fails to support learning and to provide deep insight into what the student actually knows. I foresee intelligent assessment in the near future; assessment that is both affective and adaptive to the individual learning profile of each student and both formative and summative in nature. I imagine tools that are able to scan student-practice and problems covered in class and generate individualized assessment that varies in depth and scope for each learner profile. Students would appreciate the infinite practice and immediate feedback from such a resource and teachers would appreciate having access to so much data without having to create, administer or mark a greater number of assessments. Administrators, curriculum developers and other stakeholders would appreciate having a more standardized understanding on how certain students perform compared to a global norm. Without a doubt, adaptive computational learning environments will become the norm in every math classroom which will allow teachers more time to focus on support the students who need it most.