All work
Built for Circuit Stream · Education

Instructor evaluation, on every class instead of a sample

Circuit Stream runs immersive technology summer camps on six university campuses across the US and Canada. Evaluating instructors meant a coordinator sitting through a class, so in practice they sampled one session per instructor and hoped it was representative. We built them a system that scores every class against their own four-category rubric and returns a finished report in about half an hour.

Education Dashboard
LIVE
47:23

Live Session Analytics

Introduction to Computer Science • Prof. Johnson • 24 students

87%
Engagement
92%
Attention
78%
Participation
85%
Comprehension

Student Attention Map

92
88
76
95
82
71
89
94
85
78
91
87
68
93
86
90
83
72
96
88
79
91
85
87
High (>85)MediumLow (<75)

Emotion Analysis(46 dimensions)

Engaged65%
Neutral22%
Confused8%
Distracted5%

Voice AI Tone Analysis

82%

Enthusiastic

Valence: +1.2Arousal: +0.8
Enthusiasm
34%
Clarity
28%
Warmth
18%
Authority
12%
Patience
8%

Teacher Evaluation(1-4 scale)

Planning & Preparation3.6/4.0
Classroom Management3.2/4.0
Delivery & Instruction3.8/4.0
Professional Standards3.4/4.0
Overall Score3.5/4.0

Speaking Time Distribution

Prof. Johnson67%
Student Q&A21%
Discussion8%
Silence/Other4%

Session Timeline

High EngagementNormalAttention DropLow

Active Alerts

3 students below attention threshold

Seats 4, 8, 13

Comprehension drop detected at 32:15

Topic: Recursion

What changed
Scored, where before it was one sampled session per instructor
Every classScored, where before it was one sampled session per instructor
In the US and Canada, three of them uploading classes in the pilot
6 campusesIn the US and Canada, three of them uploading classes in the pilot
From AI and machine learning to medicine, all on one rubric
4 programmesFrom AI and machine learning to medicine, all on one rubric
Less coordinator time spent evaluating instructors
79%Less coordinator time spent evaluating instructors
From upload to a finished report
27 minFrom upload to a finished report

This is not the same evaluation done faster. Evaluating every class, from every instructor, was never possible before.

What every class produces
  • A scored evaluation on the client's own four-category rubric
  • Strengths, improvements and a written action plan
  • Every student question, timestamped
  • Planned curriculum against what was actually taught
  • Voice signals: concentration, confidence, room noise
  • A jump from any finding straight to that moment

Across classes the dashboard names who has not recorded, who dropped a full performance band, who swings between sessions, and how every instructor, course and campus ranks against the rest.

Turnaround

79% less coordinator time

The median class runs 1 h 10 m and nobody has to sit through it: the report is ready in about 40 minutes, median 27, unattended. A fifteen-minute read replaces a seventy-minute class, and the coaching happens the next morning rather than three weeks later.

Consistency

2,058 statements scored

Every class judged against the same four categories. Two coordinators drift apart from each other; one coordinator drifts across a six-hour day. The rubric does neither.

Coverage

4 programmes, 3 campuses

Classes arrived from three campuses at once, in four programmes that have nothing in common but the rubric they are judged against, and one of them is medicine while another is video games. Nobody was going to sit through all of them, so in practice you sample one session per instructor and hope it was representative. Every class was analysed instead.

Peak load

8 hours in 60 seconds

On 3 July, eight hours of class were uploaded inside a 60-second window. A person needs a full working day plus overtime to clear that. Both reports came out.

What the pilot produced
Rubric judgements, scored 1 to 4
2,058Rubric judgements, scored 1 to 4
Written coaching items
1,542Written coaching items
Key moments flagged
684Key moments flagged
Transcript lines, speaker-separated
33,428Transcript lines, speaker-separated
Student questions captured
827Student questions captured
Themes identified across classes
666Themes identified across classes
43%

The rubric discriminates instead of rubber-stamping

Scores spread rather than cluster: 43% of all judgements landed below Proficient: 10.6% at Needs Improvement, 32.6% at Developing. An evaluation that scores everyone the same is not an evaluation.

60 of 64

Planned curriculum against what was actually taught

Where a lesson plan was supplied, which in this pilot was four classes, 60 of the 64 planned topics were covered, and the report names the four that were not, with the timestamp.

On the record
“Instead of reviewing hours of recordings, I can quickly identify and act on the highest-impact coaching opportunities.”
JiYong Chyung · Senior Education Manager, Circuit Stream
“Basetone.AI is an important part of my OKRs, ensuring that I have a strong understanding of the platform, establish continuity in how we use it, and ultimately maximize the value we get from the software and partnership.”
JiYong Chyung · Senior Education Manager, Circuit Stream · 30 Jul 2026

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