Roboterra Pilots RoboTerra's Hardware-Based Objective Cognitive-Patterns of Students (Robo-BOCS) at 2016 IACAC

Robo-BOCS is bringing long-expected objectivity and much further enhanced data quality to admission credentials, that being lacked in traditional testing products.
— roboterra.com/data/

(New Brunswick, July 2016) Roobterra pilots RoboTerra's Hardware-Based Objective Cognitive-Patterns of Students (Robo-BOCS) at International Association of College Admission Counselors. Robo-BOCS is bringing long-expected objectivity and much further enhanced data quality to admission credentials, that being lacked in traditional testing products. When students use Roboterra hardware and software to develop STEM field knowledge, our systems produce hardware-based objective learning data about students' cognitive patterns, which are accumulated and analyzed through students Longitudinal time spent on the product, individual styles and time logged. 

Robo-BOCS Data collected over the past four months awarded high marks for Robo-BOCS service and will be used to guide further improvements both for the professional development of Robo-products and Robo-students. The data comprises a total of 2,554 session observation across Robo-curriculum at schools and individual users among 11 different countries and regions, including but not limited to the analysis of learning habits, learning ability and problem-solving capability.  

Robo-BOCS aims to advance quality and equity in STEM education by providing fair and valid assessments. It measures knowledge and skills, promotes learning and performance, and support STEM education and professional development for all the students worldwide.

RoboTerra, Inc.