Is the typing curriculum research-based, and how is student progress measured?
Yes. The curriculum relies on established kinetic learning pathways and structured muscle memory training.
Learning progression is measured through objective, quantitative metrics, including Adjusted Words Per Minute (WPM), accuracy percentages, lesson progression milestones, and active time-on-task.
What analytics reporting dashboards are available for teachers and district administrators?
The platform offers a multi-tiered reporting structure:
• Teachers: Can view reports for their classes and students, including typing speed, accuracy, curriculum progress, lesson completion, assignment results, and activity data.
• School and District Administrators: Can view reports across multiple classes, teachers, schools, and students, allowing them to monitor usage, progress, and overall program adoption.
What management controls exist to prevent student distraction from gamified elements?
The platform implements a gated reward system.
Students are only granted access to educational typing games as a reward after completing a predetermined number of core instructional lessons.
However, teachers maintain ultimate control and can disable game access entirely at their discretion, regardless of student progress.
Can administrators customize or disable competitive and social features like leaderboards?
Yes. Classroom management settings provide teachers with granular control over the user interface.
Features such as the "Hall of Fame" leaderboards can be configured to operate globally, restricted to a specific classroom/school, or disabled entirely to protect student privacy and manage classroom focus.
Does the platform utilize Artificial Intelligence (AI), and how is data protected?
The platform utilizes closed, localized adaptive learning algorithms to analyze student typing speed and error patterns to dynamically adjust lesson difficulty.
It does not utilize generative AI, nor does it transmit any student inputs or data to third-party large language models (LLMs). All data processing occurs strictly within the secure, encrypted cloud environment, ensuring no student behavioral data is used to train public AI systems.