Analysing Learning Behaviour in Moodle: A Heuristic and AI-Driven Approach

In this thesis, a novel evaluation method to determine the duration of learning sessions and the completion of learning material is introduced. Screen recordings of students’ browser sessions are utilised to capture detailed, low-level learner activity in a blended learning environment.The accumulated recordings are analysed to define a continuous completion state for individual learning material, focusing on the exact time a student spends on the material and their activity during this period. The evaluation method is adapted to the type of material, such as PDF documents, quizzes, or video lectures. The results demonstrate the potential of this approach, based on analysis of two distinct time frames: an exam preparation period and a lecture period. Additionally, an AI-driven approach is outlined to further refine the chosen definition of learning material completion.