Sandström N, Nevgi A & Rekola M (University of Helsinki)
28.5.2024, 10:30–11:30, Studium 1 (F3020), Workshop
University teachers design courses sometimes with little knowledge of the curriculum and of their students’ prior knowledge of the course topics. Nuanced understanding of students’ prior knowledge is pivotal for curriculum development and personalised instruction, serving as a cornerstone in the pursuit of educational excellence.This workshop proposal outlines an approach focusing on the integration of Artificial Intelligence (AI) as a Critical Friend for teachers, using existing Learning Management Systems (LMS) data in order to create new solutions to enhance insights into students’ learning backgrounds. We discuss the capacity of AI algorithms in supporting teachers with designing course content, assignments and grading and analysing various components of LMS data, such as student performance, participation, and assignment submissions, mapping out individual learning trajectories. Anchored in constructivist learning theories and the concept of adaptive learning, this workshop seeks to support teachers in focusing on individual learner needs by uncovering patterns, strengths, weaknesses, and gaps in understanding, supporting curriculum planning and instructional strategies. We highlight AI’s potential to revolutionize educational settings by providing teachers with a deeper comprehension of students’ prior learning, thereby facilitating the design of more relevant, timely lessons, bridging learning gaps, and enhancing content delivery, leading to improved learning outcomes.