Summer Semester 2025 Intelligent Learning Environments (ILE) Computers and ‘machine-intelligence’ are frequently discussed as the means for addressing today’s critical educational challenges: learning remotely, learning at one’s own pace, learning according to one’s needs and background, providing quality education to all and for all. In this course, we welcome all master-level students with technical or non-technical backgrounds. Through the semester, we will cover topics on the intersection of Artificial Intelligence […]

 Winter Semester 2024/25 CodeArcade – Designing Python Challenges for Hackathons Hackathons are time-bounded events (typically 1-3 days) with large participation, in which (small) groups carry out projects which they conceptualize, design, prototype, or implement. “Learning” is often cited as one reason to organize or participate in Hackathons. However, we also know that it is necessary to plan for learning to ensure learning takes place. This Praxisproject is set to run […]

 Summer Semester 2024 Intelligent Learning Environments (ILE) Computers and ‘machine-intelligence’ are frequently discussed as the means for addressing today’s critical educational challenges: learning remotely, learning at one’s own pace, learning according to one’s needs and background, providing quality education to all and for all. In this course, we welcome all master-level students with technical or non-technical backgrounds. Through the semester, we will cover topics on the intersection of Artificial Intelligence […]

 Winter Semester 2023/24 Achieving Mastery by Deliberate Reinforcement Deliberate practice is a framework of expertise development or mastery which posits that in order to achieve superior performance in a task practice must be structured and supplemented with feedback. Both of these criteria have historically relied on expert mentor/s, such as in cases of any elite sports athlete. However, such facilities are unobtainable for the common folk which is where the […]

 Summer Semester 2023  intelligent learning environments Computers and ‘machine-intelligence’ are frequently discussed as the means for addressing today’s critical educational challenges: learning remotely, learning at one’s own pace, learning according to one’s needs and background, providing quality education to all and for all. In this course, we welcome all master-level students with technical or non-technical backgrounds. Through the semester, we will cover topics on the intersection of Artificial Intelligence in […]

Wintersemester 2023/24 Achieving Mastery by Deliberate Reinforcement Deliberate practice is a framework of expertise development or mastery which posits that in order to achieve superior performance in a task practice must be structured and supplemented with feedback. Both of these criteria have historically relied on expert mentor/s, such as in cases of any elite sports athlete. However, such facilities are unobtainable for the common folk which is where the domain […]