Research Field: Robotic

This thesis proposal addresses communication challenges in Artemis. The aim is to enhance Artemis by introducing a refined communication module. The identified problems include duplication in communication sections, ab- sence of document-sharing, and limitations in threaded conversations. Moti- vated by the need for a robust communication platform, this thesis proposal suggests improvements guided by Nielsen’s Heuristics. Key objectives involve a unified messaging system, enhanced message thread functionality, collabo- rative document sharing, and improved UI design.

Artemis is an online learning platform that offers students and instructors a wide range of interactive learning experiences. However, the platform contains design inconsistencies as well as confusing and complex layout elements in the exam mode, course overview and tutorial groups from the student’s point of view. As a result, the complexity and distractiveness of the layouts hamper the user ex- perience, making it difficult for students to navigate and utilize the platform ef- fectively.

Personalized learning experiences are pivotal in enhancing student engagement and academic success. This thesis investigates the development of dynamic learner profiles within Artemis, an open-source Learning Management System (LMS). By leveraging data analytics and machine learning techniques, we aim to generate comprehensive learner profiles that capture individual learning behaviors, preferences, and progress. These profiles will enable tailored educational experiences, providing insights for both educators and learners. The study covers the methodology for data collection and analysis, the design and implementation of the profiling system, and the impact of personalized learning on student outcomes.