Assessment for Learning MOOC’s Updates
Enhancing Learning Through AI-Powered Adaptive Assessments
One compelling example of innovative, computer-mediated assessment is the use of AI-powered adaptive testing platforms, such as those integrated into e-learning systems like Khan Academy and Edulastic. These platforms dynamically adjust the difficulty and content of questions based on a learner’s responses in real time, offering a personalized assessment experience that supports both formative and summative evaluation.
Description of the Assessment
Adaptive assessments use algorithms to analyze student performance and tailor subsequent questions to their skill level. For instance, if a student answers a math problem correctly, the system may present a more challenging problem next. If the student struggles, the system adjusts by offering scaffolded support or simpler tasks. This approach ensures that learners are neither overwhelmed nor under-challenged, maintaining engagement and promoting growth.
Platforms like Edulastic allow educators to create standards-aligned assessments with real-time data dashboards. These dashboards visualize student progress, highlight misconceptions, and support differentiated instruction. The assessments can include multimedia elements, drag-and-drop interactions, and auto-graded responses, making them both interactive and efficient.
Analysis of Impact
Personalization: Adaptive assessments cater to individual learning paths, helping students build confidence and mastery at their own pace.
Efficiency: Teachers receive instant analytics, enabling timely intervention and targeted feedback.
Equity: By adjusting to each learner’s level, these assessments reduce test anxiety and support diverse learning needs.
Scalability: AI-driven platforms can be deployed across large student populations, making them ideal for public school systems and MOOCs.
This approach aligns with the principles of Assessment for Learning, emphasizing feedback, learner agency, and continuous improvement. It also supports inclusive education by recognizing and responding to learner variability.
Media and References
Edulastic Adaptive Assessment Overview
Digital Assessments in Education – Teach Educator

