A Combined Approach of Process Mining and Rule-based AI for Study Planning and Monitoring in Higher Education

This paper presents an approach of using methods of process mining and rule-based artificial intelligence to analyze and understand study paths of students based on campus management system data and study program models. Process mining techniques are used to characterize successful study paths, as well as to detect and visualize deviations from expected plans. These insights are combined with recommendations and requirements of the corresponding study programs extracted from examination regulations. Here, event calculus and answer set programming are used to provide models of the study programs which support planning and conformance checking while providing feedback on possible study plan violations. In its combination, process mining and rule-based artificial intelligence are used to support study planning and monitoring by deriving rules and recommendations for guiding students to more suitable study paths with higher success rates. Two applications will be implemented, one for students and one for study program designers.Comment: 12 pages, 4 figures, conference, 30 reference

Integration of Gamification and Learning Analytics in Jupyter

Learning programming languages and programming concepts is associated with many problems for novices, which leads to high dropout and failure rates. Reasons often given are a lack of motivation or too little interactive materials. While gamification can be applied to increase motivation, the project Jupyter can be used as an interactive programming environment to enable more interactions with sample code. However, an approach of integration gamification in Jupyter is still missing. This report presents a concept of integrating arbitrary game elements and mechanics into Jupyter. Learning Analytics and Gamification Analytics will be applied afterwards to monitor and evaluate the measures and their impact

Structured Digital Writing Lab: Workflow, Application and Evaluation

The importance of writing and publishing is well understood in the academic world and is gaining importance in business applications as well. Students need to gain corresponding skills during their studies. The process itself can be structured and is repeatable. However, students are not familiar with the process and need some guidance to achieve high quality results. Typical writing seminars may be quite theoretical and do not sufficiently guide the writing in teams, reviewing and publication process. This paper presents the Scientific Workflow Guide SWOFI that can be used to guide collaborative academic writing and publishing in a structured process, which resembles the guided process in lab-based education. The results which have been achieved in different seminars at two different institutions are analyzed and discussed.&nbsp