Consultation on Opinions of Intelligent Supervision System

Dear Teachers,


Greetings.


We are a student research team composed of members from different departments and grades.

Recently, the university has fully launched the Intelligent Supervision System to improve teaching quality. As a core participant in teaching activities, your genuine experience is crucial for us to build a smart education ecosystem that achieves "win-win results for both teachers and students".


This questionnaire aims to understand the impact of the system on your teaching work in actual operation, especially your feelings regarding data privacy, evaluation fairness, and teaching autonomy. The questionnaire is anonymous, and the data will only be used as a reference for submitting the Proposal on Improving the Management System of the Intelligent Supervision System to the university.


Thank you for taking 5 minutes out of your busy schedule to complete it!

Appendix: Introduction to the Supervision System

The Intelligent Supervision System is a result of in-depth cooperation between Huaxi Cloud and Beijing Institute of Technology (BIT) in the field of smart education. Together, the two parties have built an integrated smart teaching space, multi-scenario teaching agents, and an intelligent supervision system, forming a smart education ecosystem covering the entire process of "teaching, learning, and evaluation".


The system verifies faculty and staff identities through facial recognition, records teaching trajectories, speaking speed (via speech recognition), standing duration, and other indicators. Meanwhile, based on AI visual analysis, it identifies abnormal behaviors such as being late, leaving early, and making or answering phone calls at the millisecond level. Early warning information can be pushed to the educational administration platform with one click, facilitating remote intervention by administrators.
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1.

What type of courses are you mainly in charge of?

Theoretical lecturing (mainly professional courses, large classes)
Experimental/practical (professional courses)
Seminar/interactive (professional courses, small classes)
Art-related (mainly general electives)
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2.

Are you aware of the existence and functions of the Intelligent Supervision System?

Yes
No
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5.

In your current teaching, do you feel that some data collected by the system (e.g., teaching trajectory, duration of blackboard writing, and even the impact of students' "head-up rate" on your evaluation) exceeds the scope of "necessary teaching evaluation" as you see it?

Yes, a lot of irrelevant data is being collected
Occasionally have this feeling
No, all collected data is reasonable
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7.

Have you received clear notification regarding the "storage period of facial data and other information" and "whether it will be used for non-teaching purposes (such as administrative sanctions other than attendance)"?

No notification received at all, completely unclear about the whereabouts of the data
Only oral notification, no written agreement
Received a simple explanation, but the terms are not detailed
Received a detailed privacy policy and signed an informed consent form
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8.

Are you worried that "full-time" classroom video surveillance will intrude on your personal privacy (such as private calls during breaks, non-teaching states)?

Very worried
Somewhat concerned
Not worried at all
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9.

Regarding data access management, which personnel do you think should be restricted from accessing raw classroom videos and behavioral data? [Multiple choice]

【多选题】
Ordinary administrative staff
Supervisors not from your own college
Non-technical personnel of technical development partners (such as Huaxi Cloud)
Student cadres or work-study students
Anyone other than the directly teaching faculty and participating students (if this option is selected, no others can be selected)
No restrictions needed, fully public (if this option is selected, no others can be selected)
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10.

Do you think the current AI evaluation indicators (e.g., head-up rate, front-row seating rate, voice activity) can truly reflect your teaching quality?

Not at all; these indicators are too mechanical to measure in-depth thinking
Partially, but the particularity of courses is ignored (e.g., in-depth theoretical courses may have a low head-up rate but good effects)
Basically, the data is consistent with my actual teaching situation
Very scientific; I fully approve of this quantitative standard
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11.

 Are you worried that the "teaching quality evaluation report" generated by AI will be directly used as the sole basis for your professional title assessment, merit evaluation and commendation?

Very worried; algorithms cannot replace comprehensive judgment
Relatively worried; afraid of being "vetoed by a single vote" by data
Not worried; I think data can be used as one of the references
In favor of fully data-driven evaluation
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12.

What do you think the degree of transparency of the system's evaluation rules (such as algorithm logic, indicator weights) should be?

Fully public, including all algorithm details
Moderately public; only publish core indicator weights and judgment standards
Only need to inform that evaluation exists; no need to publicize specific rules
No need to publicize; this is the school's management confidential
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13.

Has the real-time monitoring of the system affected your teaching behavior? (e.g., do you deliberately reduce movement, control your speaking rate, or avoid certain topics because you are worried about being misjudged?)

Great impact; I always feel "watched" and have to perform teaching
Some impact; I will unconsciously pay attention to my body language
Little impact; I have gotten used to the presence of cameras
No impact at all; I still maintain my original style
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14.

 Will you receive a report from the Intelligent Supervision System and adjust your classroom teaching methods based on the report content?

Will receive and adjust teaching methods according to students' situations
Will receive, but do not care
Will not receive; the supervision system does not provide feedback to teachers
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15.

In which aspects do you think the current "Intelligent Supervision" system most needs improvement? [Multiple choice]

【多选题】
The scope of data collection is too wide, involving too much privacy
Lack of clear data collection notification and privacy agreement
Evaluation rules are not transparent; points are deducted without knowledge
Lack of effective appeal channels and manual review mechanisms
Unclear data security protection measures; worried about personal information leakage
The system collects too many and too detailed indicators, with a high misjudgment rate, affecting normal teaching order
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16.

Through which channels do you hope the school will inform you of the data processing rules of the "Intelligent Supervision" system? [Multiple choice]

【多选题】
Announcement on the school's official website/educational administration system homepage
Mandatory pop-up reading and confirmation when logging into the system
Signing of a special paper or electronic "Privacy Notice"
Notification in class groups/work groups
Campus bulletin boards/posters/official media
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17.

If the system uses facial recognition for identity verification or behavioral analysis, which processing method do you prefer?

Facial recognition must be used for the highest efficiency
Facial recognition can be used, but an informed consent form must be signed in advance, and alternative methods such as campus card/account login shall be provided, with the right to withdraw consent at any time
Do not wish to use facial recognition; only accept non-biometric verification methods
It doesn't matter, as long as it does not affect classes
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18.

 If an appeal mechanism is established, which functional links do you hope it includes? [Multiple choice]

【多选题】
One-click submission of appeal applications
Upload of supporting materials (such as photos, explanatory documents)
Real-time viewing of appeal processing progress
Manual review and issuance of written conclusions
Automatic correction of evaluation records and elimination of impacts after successful appeal
Pursuit and public notification of the system responsible party for malicious misjudgment
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19.

What specific measures do you think the school should take in data security to enhance the confidence of teachers and students? [Multiple choice]

【多选题】
Local storage of sensitive information such as facial data, no uploading to the cloud
Encryption and de-identification (blurring) processing of all data
Restriction of data export functions to prevent batch leakage
Establishment and publication of a data leakage emergency response plan
Introduction of third-party institutions for security certification
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20.

For which scenarios do you hope the evaluation results of the "Intelligent Supervision" system will be mainly used? [Multiple choice]

【多选题】
Teachers' teaching reflection and self-improvement
School's macroscopic teaching quality analysis and decision-making
Targeted teaching support and training
Reference for curriculum construction and reform
Teachers' annual performance appraisal
Students' daily grade assessment
Basis for merit evaluation and commendation
Basis for disciplinary sanctions
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21.

 What principles do you think the school should uphold most in the process of promoting "Intelligent Supervision"? (Select up to 3 items) 

【请选择1-3项】
Technology first, pursuit of maximum management efficiency
People-oriented, fully respecting the privacy and rights of teachers and students
Open and transparent, all rules and data operating in the sunshine
Gradual progress, pilot first before promotion
Rule of law-led, strictly abiding by laws and regulations
Cost controllable, minimizing financial investment
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22.

What other concerns do you have about the future development of the "Intelligent Supervision" system? [Multiple choice]

【多选题】
Misjudgment caused by technical failure without correction
Data leakage to third parties
Formation of a "panopticon effect" suppressing academic freedom
Simplification of evaluation standards stifling teaching diversity
Increased additional burden on teachers and students (such as frequent explanations, appeals)
No concerns, fully support (if this option is selected, no others can be selected)
Others：
23.

Thank you for your support! Is there anything else you would like to say about the "Intelligent Supervision" system? Your opinions and suggestions for our research group can also be written here (๑˃̵ᴗ˂̵)و

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