Learning Analytics & Data-Informed Teaching

Course Code: AED05

Program: Assessment, Evaluation & Data-Informed Teaching

Course Overview: Assessment generates valuable data, but that data supports learning only when educators can interpret it meaningfully. Patterns in performance can reveal learner progress, gaps, misconceptions, and areas requiring additional support.

This course equips educators with practical strategies to analyse learner-performance data, identify trends and learning gaps, and make informed teaching decisions. It focuses on using evidence to adjust instruction, target feedback, monitor progress, and improve learning outcomes.

Learning Outcomes

• Interpret assessment data effectively
• Identify trends and patterns in performance
• Detect learning gaps and misconceptions
• Use data to adjust teaching strategies
• Make evidence-based decisions

Target Audience: Educators, markers, moderators, assessment coordinators, department leaders, and academic-quality professionals.

Learning Experience: Learners engage through video overviews, audio deep dives, study guides, practical examples, reflection prompts, workbook activities, applied tasks, knowledge checks, and end-of-module quizzes. Activities support rubric design, consistent judgement, moderation, calibration, benchmarking, and standards-based assessment.

Course Structure: 5 modules / 17 lessons.

Special Feature: Every module concludes with a Putting It All Together audio deep dive that connects the key lessons and supports reflection and practical application.

Pathway Focus: Clarify standards. Improve grading consistency. Strengthen moderation.