Real-Time Feedback with AI Tools equips participants with the knowledge and skills to implement AI-driven feedback mechanisms in educational settings. This course emphasizes practical applications, enabling learners to develop and deploy tools that provide instantaneous assessments of student performance. By engaging in project-based activities, participants will not only learn the theoretical aspects of AI in education but also gain hands-on experience creating solutions tailored to real-world educational challenges.
Throughout the course, participants will explore various AI tools and techniques that enhance the assessment process. The curriculum is designed to foster collaboration and innovation, culminating in a final project where learners will design an AI feedback system applicable to their specific educational context. By the end of the program, participants will be well-prepared to integrate AI solutions into their teaching practices or organizational frameworks, enhancing learning outcomes and operational efficiency.
Understanding AI fundamentals in education
Overview of real-time feedback mechanisms
Analyzing existing AI tools for educational assessment
Designing user-friendly interfaces for feedback systems
Implementing data collection strategies for effective assessment
Developing algorithms for personalized feedback
Integrating AI tools with Learning Management Systems (LMS)
Evaluating the effectiveness of AI feedback systems
Collaborating on project-based learning initiatives
Final project: Create a prototype of an AI feedback tool