About this Course: AI in Higher Education Assessment

This course explores the impact of advanced Artificial Intelligence (AI) tools on assessment practices within higher education. It critically addresses the role of AI in shaping both formative and summative assessments, and pushes for a reimagined approach to educational assessments in the context of emerging technologies. The course centers on three main themes: understanding the role of assessment in higher education, imagining the future of these assessments with AI integration, and actualizing AI-driven assessment strategies that are both effective and ethical.

What Students Will Learn

Students will gain comprehensive insights into:

• Repositioning assessment to better support learning and development in an AI-enhanced landscape.
• Assessing the integrity of traditional and AI-involved summative assessments.
• Utilizing AI tools to enhance learning through formative assessments and personalized feedback.
• Creating AI-enhanced assessment tools that are fair, ethical, and supportive of student learning.
• Adopting a values-based approach to the use of AI in educational assessments.

Course Prerequisites

No specific prerequisites are required for this course, making it accessible to anyone interested in the integration of AI tools in educational settings, particularly in assessments within higher education.

Course Coverage

• Understanding the existing assessment practices in higher education.
• Evaluating the impact of AI on these practices.
• Exploring ethical considerations related to AI in educational assessments.
• Designing and implementing AI-driven assessment tools.
• Strategizing for continuous adaptation to technological advancements in educational settings.

Who This Course Is For

This course is ideal for educators, academic administrators, and technology specialists in higher education who are looking to understand and implement AI-driven solutions in assessment practices. It is also suitable for educational policy makers and researchers focused on the intersection of technology and education..

Real World Applications

Upon completing this course, participants will be equipped to:

• Design assessments that are enhanced by AI, promoting fairness and deeper learning.
• Incorporate AI tools that assist in creating more personalized learning experiences through adaptive assessments and feedback mechanisms.
• Address ethical considerations and maintain academic integrity in the design and implementation of AI-driven assessments.
• Stay ahead in the technological advancement of educational practices, preparing students more effectively for a rapidly evolving digital world.

Syllabus Overview

The course covers:

1. Introduction to Assessment in Higher Education.
2. The Impact of AI on Assessment: Opportunities and Challenges.
3. Reimagining Assessments with AI Integration.
4. Developing AI-Driven Assessment Tools.
5. Ethical Considerations in AI-Enabled Educational Environments.
6. Case Studies and Real-World Applications of AI in Assessments.