Leveraging Learner Data and evidence to benefit teaching and learning
Welcome to the Higher Seminars at the Department of Learning in Engineering Sciences.
We meet on Fridays 9.00 - 10.00 in Zoom room
(PhD students stay on an extra hour, by separate invitation)
Time: Fri 2024-03-08 09.00 - 10.00
Video link: Zoom
Language: English
The wealth of learner data offers valuable insights into students' learning behaviours, preferences, strengths, and areas for improvement. Evidence from data helps teachers refine their teaching strategies, personalize instruction, and ultimately enhance the learning experience for all students. Data-informed methods help teachers to understand how students engage in the learning activities, how the learning materials are used, and how they interact with peers. Thereby teachers can tailor their instruction to meet the diverse needs of individual learners. By analyzing data on student performance, engagement, and progress over time, educators can identify patterns, trends, and areas of difficulty. This enables them to intervene early, provide targeted support, and differentiate instruction to accommodate various learning styles and abilities.
From a holistic perspective, effective utilisation of learner data fosters a culture of transparency and accountability in education. By documenting student progress and achievement, teachers can communicate effectively with stakeholders, including students, parents, administrators, and policymakers. Transparent access to learner data empowers stakeholders to actively engage in the educational process, collaborate on goal-setting, and monitor progress towards learning objectives.