A chemistry class at Einstein-Gauss Gymnasium in Berlin has upgraded its AI-powered program in 2026 to facilitate student discussions and provide real-time feedback to the teacher and students.
What unintended consequences could arise from the use of AI in education, and how might they be addressed before they become major problems in the near future? - Aside from AI generated work hiring biases that may result from predictive analysis of how the student will perform at work based on data gathered from the university, having the AI give feedback while the students are learning so that they avoid mistakes may be preventing the students to develop their critical thinking skills. It may be preventing experimentation and innovation. Failures and mistakes are good teachers. Iterations, derivatives, deviations make learners courageous explorers and creative innovators. AI needs to be programmed in such a way as to allow learners to make mistakes, experiment, and think about their own solutions. This way, AI's role is to enable learning rather than prevent the learners from making mistakes.
If you were a parent, what concerns do you have regarding data privacy and security for your child while using the AI program? - My concern will really be after my child graduates and looks for a job. I'm concerned that the data from the university may be used and effect bias against a student who had more challenges learning compared to those who were analyzed and tagged as "better academic performers". I will be concerned that the AI will have predictive analysis of how my child will perform at work based on data gathered from when eh/she was in the university.
If you were a teacher, how would you feel about using an AI program to help you personalize your teaching approach for each student? - Real personalization and customization can only work most effectively when you are able to analyze all the relevant data gathered from each individual target audience. Currently, AI is our best tool that enables us to do this. Couple the result of data analysis with the availability and access to relevant content and experiential learning activities (that may also be AI generated and matched) - this is a very powerful way of individualizing the content and approach to teaching and learning which educators have long struggled to achieve.
What unintended consequences could arise from the use of AI in education, and how might they be addressed before they become major problems in the near future? - Aside from AI generated work hiring biases that may result from predictive analysis of how the student will perform at work based on data gathered from the university, having the AI give feedback while the students are learning so that they avoid mistakes may be preventing the students to develop their critical thinking skills. It may be preventing experimentation and innovation. Failures and mistakes are good teachers. Iterations, derivatives, deviations make learners courageous explorers and creative innovators. AI needs to be programmed in such a way as to allow learners to make mistakes, experiment, and think about their own solutions. This way, AI's role is to enable learning rather than prevent the learners from making mistakes.
If you were a parent, what concerns do you have regarding data privacy and security for your child while using the AI program? - My concern will really be after my child graduates and looks for a job. I'm concerned that the data from the university may be used and effect bias against a student who had more challenges learning compared to those who were analyzed and tagged as "better academic performers". I will be concerned that the AI will have predictive analysis of how my child will perform at work based on data gathered from when eh/she was in the university.
If you were a teacher, how would you feel about using an AI program to help you personalize your teaching approach for each student? - Real personalization and customization can only work most effectively when you are able to analyze all the relevant data gathered from each individual target audience. Currently, AI is our best tool that enables us to do this. Couple the result of data analysis with the availability and access to relevant content and experiential learning activities (that may also be AI generated and matched) - this is a very powerful way of individualizing the content and approach to teaching and learning which educators have long struggled to achieve.