We are developing an Emotionally-Aware Tutoring System to be integrated into the K-12 school system in 2028 that will gauge and process student behavioral signals in the classroom enabling the system to understand the students' true learning path. By using emotions linked to learning as inputs, this data will help teachers gauge how their students are learning where teachers will also help refine the system with their input. Parents will be able to refine their child's learning trajectory and the student can use the system at home. Our goal is to develop the 1st comprehensive, curriculum-aligned Tutoring System that will help the student, teachers, parents, schools, and Society.

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Hologadium is in the developmental stage where the system is expected to be tested in the classroom in September 2026. After classroom validation, we plan to refine the system the system and offer school districts low-cost Pilot studies in January 2027. For the classroom studies, we want to see that it translates into long-term learning gains before product launch. Our goal is to develop a system that increases learning gains while being pedagogically grounded and preserving inclusivity. We hope to show after the in-class studies that learning gains from using this system can be translated to end of year metric reports for schools. Not only will this empower students, but will enable teachers to accommodate the diversity of learning preferences. This system will also enable parents to help their child and save money on tutors. Schools in America will benefit greatly when student scores increase and Equity is established. 

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NEWS 2026 Hologadium Is Gaining Even More Some Traction

5/28/2026: I started back working on the White Paper and decided to turn part of it into a publication. Thus, I submitted a manuscript to ET&S yesterday. The White Paper will be finished soon and you will be able to 

                  find it here. Again, this paper establishes the conceptual, algorithmic, and mathematical framework for Hologadium. 

                  I started a review paper a few months ago to understand how short-term learning traits link the long-term learning traits, and will go back to writing soon. The idea is that short-term learning traits                               can be categorized as "affective" and long-term learning traits as "metacognitive," although, this is a loose assumption. The goal is to find the best affective/metacognitive combinations and prioritize                           those in the reward shaping mechanism.           

                 I am building past the MVP in Figma and have made considerable progress. It is actually shaping up nicely. There are 4 different logins: students, teachers, parents, and administration and a lot of good                     stuff on each dashboard. One new thing that I devised for the students to use at home, is a Metacognitive Coach. Remember, the idea is to help the student learn how they learn..​

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                In classroom studies to test Hologadium is in the works and has been pushed to September 2026 in the Lynn Public School Systems, for several practical reasons. I am working with Jeremy McKeen, a 

                teacher at Lynn to coordinate this study and the administration and department heads seem interested. 

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                I would really like to coordinate something that brings in input from Teachers, Parents, and Administration and Students now that I am actively building, to see how I can better help while I am building. 

               I don't know if I can actually do this, but I have decided to look for investors again after deciding that I don't even need them. It would probably accelerate things and polish this off, hard to say. Now, I am f                   feeling things out for raising 100k. Regardless, there is actually a good chance that I will start generating revenue in Jan 2027 with a low-cost Pilot study market entry plan. 

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