MoBeS

Academic success through data-driven monitoring and individual counselling

The project "Student Success through Data-Based Monitoring and Individual Advising" (MoBeS) combines various monitoring methods to improve individual student success and the quality assurance of study programs. While each method pursues different goals, they are interconnected, and as a whole, the project aims to ensure the quality of studies and teaching and improve student success. These methods are: (1) Individual student monitoring, (2) Health monitoring, and (3) Study program monitoring. Furthermore, measures are being implemented to improve the infrastructure for hybrid teaching.

Individual student monitoring

As part of this sub-project, a student monitoring system was established to improve student support and guidance, while adhering to data protection regulations. The monitoring results will inform measures for advising, mentoring, and support services. To ensure easy access to student support and to further professionalize advising within the departments, a curriculum of training measures was developed.

Health monitoring

Health and well-being are essential prerequisites for personal performance and, ultimately, for academic success. The health of students is a key concern for Fulda University of Applied Sciences. Many students experience health problems and strains, such as stress, psychosomatic complaints, and unhealthy behaviors. The sub-project MoGuS ("Monitoring of Health and Academic Success") therefore aims to establish long-term health monitoring for students at Fulda University of Applied Sciences. Within the framework of a longitudinal study, health indicators will be linked to indicators of academic success. This will allow for the identification of correlations between health and educational indicators and, in the future, enable the early identification of students who, due to their health situation, have a greater need for support measures during their studies. Data will be collected at three different points in time and will be conducted with students from all departments, regardless of their semester.

Study program monitoring

The findings from the two monitoring studies mentioned above are incorporated into this sub-project. This involves a systematic data analysis using defined key performance indicators (KPIs) to sustainably improve the quality of degree programs.

Hybrid teaching

Even before the COVID-19 pandemic, Fulda University of Applied Sciences (HFD) offered a comprehensive portfolio of study programs that could be completed in online and blended learning formats. Based on this experience, HFD sees great potential in leveraging the experiences gained by instructors and students during past and current hybrid semesters to further develop its teaching and learning formats. The planned investments in HFD's teaching infrastructure in response to the COVID-19 pandemic therefore focus primarily on expanding hybrid teaching, meaning course formats that students can participate in both on campus and online. In particular, hybrid learning spaces structure the teaching and learning process with in-person and self-study phases, combining physical lecture halls, seminar rooms, and laboratories with virtual communication and collaboration opportunities through learning management systems, video conferencing systems, and collaboration platforms. At the same time, didactic approaches such as research-based learning in collaborations with companies are given special support. This in turn leads to an increase in the quality of studies, greater student satisfaction, and overall better academic success.