Available
AI Coach
Coaching after every lesson.
Coaches can’t watch every lesson, so most tutors never get feedback. After each lesson, the AI Coach gives the tutor feedback mapped to your own rubrics, with talk time and scores for communication, engagement, accuracy and clarity.
Nobody watches you teach, so you rarely know what to improve. After each lesson, get feedback mapped to your rubrics, with talk time and scores for clarity and engagement.
Teachers are observed a few times a year at best. After every class, the AI Coach gives feedback mapped to your rubrics, with talk time and four scores.
Facilitators rarely get feedback on how they deliver. After each training, the AI Coach scores communication, engagement, accuracy and clarity against your rubrics.
Observations happen a few times a year. For lessons taught in your Space, the AI Coach gives feedback mapped to your school’s rubrics, with talk time and four scores.
For workshops run in your Space, the AI Coach scores communication, engagement, accuracy and clarity against your rubrics, and shows talk time.
Your child’s tutor gets feedback after every lesson, so their teaching keeps improving.
どの有料プランでも2週間無料でお試しいただけます。クレジットカードは不要です。
What it solves
- Coaches can’t give every tutor feedback
- No one watches them teach
Helps you
Teach better
Part of
AI
The problem
Most tutors never get feedback
Coaches can observe a few lessons at most. Most tutors teach for months without feedback, and nobody knows who needs help.
一般的な方法
Programs run occasional observations and annual training, and hope it carries into real lessons.
How Pencil Spaces solves it
AI Coach: post-lesson analysis with feedback for the tutor, mapped to your organization’s own rubrics, with talk time and a score across communication, engagement, accuracy and clarity.
変更点
Better tutors, every week. Professional development comes from real lessons, with no extra training to run.
詳細はこちら
What it looks like
実際には
After a lesson, a tutor sees she did most of the talking and scored lower on engagement. The feedback, mapped to her company’s rubric, suggests more questions, and her next lesson goes differently.
In a 1:1 lesson
You see you did most of the talking last lesson, and plan more questions for the next one.
In a group class
A new teacher’s clarity score rises over a month of feedback mapped to your rubric.
In a virtual training
A facilitator sees their engagement score dipped in the second hour and redesigns the exercise.
In your classroom
Your instructional coach reviews AI Coach feedback before observing, and focuses the visit.
In the training room
After each workshop, the facilitator reviews talk time and clarity against your rubric.
At home
Your son’s tutor starts asking more questions after feedback, and he talks more in lessons.
