Didactics

TU Dresden plans to implement blended learning across the university by 2030, combining traditional teaching and digital technologies to create a flexible and individualized learning environment. The promotion of lifelong learning will be supported by easy access to continuing education programs and online resources to promote the professional development of students and employees. Adaptive learning systems that use data analytics and artificial intelligence are also used to create personalized learning paths and track learning progress in real time.

(There are cross-references to the teaching strategy throughout this section!)

What do we want?

Our vision for innovative, inclusive and flexible teaching by 2030 includes several key components.

Firstly , the university-wide implementation of tried and tested teaching-learning formats is fundamental to ensuring high quality teaching. Proven formats have proven to be effective in different contexts and promote confidence in new teaching methods. They are an important cornerstone for stability and reliability in the education sector and help to strengthen the confidence of students and teachers in new teaching methods.

In addition, asynchronous learning, teaching and working enables students and teachers to use their time effectively and promote a work-life-learn balance according to individual requirements. It supports an inclusive learning environment by increasing accessibility and flexibility for all learners, regardless of their personal circumstances.

In addition, the use of didactically based approaches is crucial to ensure that teaching methods are not only innovative but also effective and lead to learning. Scientifically sound didactic approaches make it possible to address learners' needs in a targeted manner and maximize learning success.

Finally, the choice of teaching and learning formats should always be made with a clear didactic goal in mind . Only through a targeted, continuously evaluated selection can different learning needs be addressed, teaching quality ensured and technological developments effectively integrated.

Where do we want to go?

Teaching at TU Dresden in 2030 will be characterized by diversity, quality and flexibility.

A wide range of proven teaching-learning formats has been established across all faculties and combines theoretical knowledge with practice-oriented teaching methods. These formats prepare students in a targeted manner for the demands of the working world and at the same time promote interaction between teachers and students.

Asynchronous learning, teaching and working significantly expands educational opportunities. It creates flexibility in terms of time and space, supports individual learning paths and makes it easier to combine studies, work and other commitments. This makes higher education accessible to a broader, more diverse target group.

Didactically sound approaches form the backbone of high-quality teaching. They ensure effective knowledge transfer, promote motivation to learn and enable the continuous development of teaching skills. Appropriate further training courses are available to teachers at a low threshold.

Innovative teaching methods and technologies create a modern learning environment that allows for experimentation, a culture of error and individual support. The selection of formats is always based on clear didactic objectives and is geared towards the different needs of the students.

How do we achieve this?

Blended learning approach
Teaching at TU Dresden combines traditional classroom teaching with digital learning materials to enable flexible and independent learning. Attendance phases are used for individual support as well as in-depth and understanding-oriented exchange. Digital media make teaching more varied and ensure access to lectures and exercises for larger groups of students. Online tools also promote interaction and prompt feedback.

Lifelong learning
TU Dresden ensures barrier-free access to continuing education courses and online learning platforms, promotes the development of didactic networks and feedback partnerships and raises awareness of the importance of lifelong learning. This is complemented by comprehensive resources and support services as well as the recognition of continuing education achievements through certificates or continuing education points.

Adaptive learning systems
The use of data analysis and artificial intelligence enables the continuous monitoring and support of students' learning progress. Based on this, teaching is flexibly adapted, personalized learning paths are created and recommendations for supplementary materials are made in a targeted manner. Automated real-time feedback promotes self-directed learning and optimizes the use of available resources.