Frequently Asked Questions

A: 

1. Workshops and Seminars: We will regularly schedule sessions led by Faculty to explore the latest developments, applications, and ethical considerations of AI in education at SSIS - in person, online and asynchronous. 

2. Online Courses: We will share accessible courses or specific educational institutions focusing on AI integration in teaching.

3. Collaborative Learning Communities: We will establish communities of practice where Faculty can share experiences, strategies, and challenges related to AI use.

4. Guest Speakers and Conferences: We will invite industry leaders and attend conferences to stay updated on AI advancements and network with peers.

5. Hands-On Training: We will provide opportunities for teachers to work directly with AI tools, developing practical skills and understanding their applications.

A: 

1. AI-Enhanced Assessments: We will begin to look at AI for formative assessments that provide real-time feedback, allowing teachers to focus on deeper, personalized interactions.

2. Supportive AI Tools: We will look to Utilize AI for administrative tasks (tbc) to free up teacher time for more interactive teaching.

3. Co-Teaching with AI: We will evaluate AI as a tutor to provide additional resources, but ensure that the main instructional guidance comes from human teachers.

4. Project-Based Learning: We may integrate AI in project-based learning where students can use AI tools for research, analysis, and presentations while maintaining active teacher guidance and oversight.

A: 

1. Adaptive Learning Platforms: We may begin to evaluate the use AI-driven platforms that adjust content based on individual student performance and learning styles.

2. Data-Driven Insights: We will begin to evaluate platforms and tools and leverage AI to analyze student data and identify specific needs, strengths, and areas for improvement, allowing for more tailored instruction plans.

3. Student Agency: We may begin to encourage students to set personal learning goals and use AI tools to track their progress, fostering a sense of ownership over their learning with their AI tutor.

A: 

1. Curriculum Integration: We will begin to review digital citizenship lessons into the curriculum, focusing on ethical AI use, data privacy, and responsible online behavior. We also need to have a shared understanding of Digital Citizenship at SSIS.

2. Role-Playing Scenarios: We will use simulations and role-playing to help students understand the consequences of irresponsible AI use and develop critical thinking skills.

3. Modeling Behavior: Faculty and staff should model responsible AI use in their professional activities, demonstrating transparency and ethical considerations.

4. Workshops and Discussions: We will organize workshops and discussions on AI ethics, encouraging students to explore and debate real-world AI issues.

5. Collaborative Projects: We will engage students in projects that involve developing guidelines or creating campaigns on responsible AI use, promoting active participation in digital citizenship.

A:

1. Clear Policies: We are developing and will communicate policies and guidelines outlining the ethical use of AI in assessments.

2. Transparency Statements: We will Inform students and parents about when and how AI is used in assessments and the rationale behind it.

3. Human Oversight: We will ensure AI-driven assessments are reviewed and validated by educators to maintain fairness and accuracy.

4. Bias Audits: We will regularly audit AI tools for biases and take corrective actions to ensure they are equitable and fair.

A: 

1. Administrative Efficiency: We will evaluate the use of AI for tasks like scheduling, and data management to reduce the administrative burden on teachers.

2. Enhanced Lesson Planning: We will evaluate the use of AI to analyze student performance data and suggest targeted instructional strategies.

3. Real-Time Feedback: We will evaluate AI tools that provide instant feedback on student work, allowing teachers to focus on personalized instruction.

4. Professional Development: We will use AI-driven insights to identify teachers' professional development needs and offer tailored training programs.

5. Resource Recommendations: We will evaluate AI to recommend supplementary educational resources and materials based on individual student needs.

A: 

1. Personal Touch: We will ensure all AI-generated communications are reviewed and personalized by educators before sending.

2. Transparency Policies: We will clearly communicate the role of AI in generating messages to parents and the community.

3. Training: We will train Faculty and Staff on balancing AI efficiency with maintaining a personal touch in communications.

4. Consistent Voice: We will develop guidelines to ensure AI-assisted communications align with the school's tone and values.

A: 

1. Educational Value: We will assess whether an AI tool effectively supports teaching and learning goals.

2. Ethical Standards: We will evaluate a tool's compliance with ethical guidelines and data privacy standards.

3. Usability: We will ensure the tool is user-friendly for both teachers and students.

4. Scalability: We will determine if the tool can be scaled across different classrooms and grade levels.

5. Feedback and Review: We will gather feedback from pilot users and make adjustments before full implementation.

A: 

1. Encryption: We will ensure all student data is encrypted both in transit and at rest.

2. Access Controls: We will implement strict access controls to limit data access to authorized personnel only.

3. Data Minimization: We will collect only the necessary data required for educational purposes.

4. Regular Audits: We will conduct regular audits and security assessments of AI tools and data storage systems.

5. Compliance: We will adhere to local and international data protection regulations, such as Decree13, GDPR or FERPA.

A: 

1. Surveys and Feedback: We will survey students, parents, and teachers to gather feedback on AI's impact on emotional and social development.

2. Focus Groups: We will organize focus groups with students to discuss their experiences and feelings about AI in their education.

A: 

1. Transparency: We will clearly label AI-generated content to differentiate it from human-generated content.

2. Integrity: We will ensure AI-generated content adheres to the same ethical standards as human-generated content.

3. Review Processes: We will complement review processes to verify the accuracy and appropriateness of AI-generated content.

4. Accountability: We will hold users accountable for the AI-generated content they utilize or disseminate.

5. Continuous Improvement: We will regularly update ethical guidelines to reflect new developments and insights in AI technology.

A: 

1. Monitoring and Evaluation: We will continuously monitor the performance and impact of AI tools.

2. Feedback Mechanisms: We will establish channels for reporting issues or concerns with AI tools.

3. Transparency: We will communicate openly about the reasons for retracting or reassessing AI tools.

A: 

1. Ethics Curriculum: We will Integrate AI ethics into the broader ethics curriculum.

2. Discussion Forums: We will create platforms for students to discuss and debate AI ethics and its implications.

3. Project-Based Learning: We will engage students in projects that explore ethical issues related to AI.

4. Guest Speakers: We will Invite experts to speak to students about AI ethics and its real-world impact.

5. Student Councils: We will establish student councils to provide input on AI policies and practices.

A: 

1. Pilot Programs: We may evaluate  pilot programs to evaluate the effectiveness of AI-driven feedback systems.

2. Professional Development: We will train teachers on interpreting and using AI-generated feedback constructively.

3. Transparency: We will clearly communicate the role and limitations of AI in teacher evaluations.

4. Continuous Improvement: We may use AI-generated feedback as part of a broader professional development strategy to support continuous improvement.