AI in Formative and Summative Assessments

AI in Formative and Summative Assessments focuses on equipping participants with the knowledge and skills to effectively integrate artificial intelligence into educational evaluation processes. This course delves into the practical applications of AI technologies, emphasizing how they can transform traditional assessment methods into more dynamic, responsive, and personalized experiences for learners. Participants will engage in project-based learning, allowing them to apply theoretical concepts in real-world scenarios, culminating in a final project that demonstrates their understanding and innovative application of AI in assessments.
The course structure is designed to foster collaboration and creativity, encouraging participants to share their findings and insights through publication in Cademix Magazine. By the end of the program, learners will have a comprehensive understanding of AI tools and techniques that can enhance both formative and summative assessments, ultimately leading to improved educational outcomes. The interactive teaching method promotes engagement and practical application, ensuring that participants leave with actionable skills and knowledge relevant to current industry demands.
Understanding the role of AI in education
Differentiating formative and summative assessments
Exploring AI tools for real-time feedback
Designing AI-driven formative assessments
Implementing AI in summative evaluation processes
Data analysis techniques for assessment improvement
Creating adaptive learning pathways using AI
Evaluating the effectiveness of AI-enhanced assessments
Developing a final project on AI applications in assessments
Strategies for publishing and sharing research findings

Equip participants with the skills to integrate AI into educational assessments effectively.

Graduates, job seekers, business professionals, and optionally researchers or consultants.

Basic understanding of educational assessment principles and familiarity with AI concepts.