DIPF engages in artificial intelligence (AI) and software development across different sectors within its institute. The primary objective revolves around enhancing usability for researchers and optimising the dissemination of educational information.

Software development and artificial intelligence (AI) are two major topics that the DIPF is working on in several areas (Technology-Based Assessment, Educational Technologies, Educational Computer Science). The development of custom software solutions includes e.g. CBA ItemBuilder or the software used by the German Education Server. Other methodological approaches focus on the operation of Saas Solutions and the integration of AI in teaching and learning. Software development is agile, co-constructive and collaborative in order to continuously improve the usability of the software products and further develop their integration into educational research processes and services.

Individual Development for Research Studies and Information Systems of the Education System

Customised solutions that meet the specific needs of respective research studies are highly prioritised at the institute. In the context of software development, both individual developments are offered in order to optimally address requirements in the field of educational research and on the adaptation as well as operation of existing solutions. The focus here is on information systems that comprehensively map the education system and tools that efficiently support the work of researchers. The aim is to make all software solutions open source and freely accessible (Open Research Software).

AI as an Innovative Method in Teaching and Learning and for Processing Information

The DIPF understands AI as automated methods for processing or generating data with so-called unstructured information in order to perform tasks that are usually accomplished by human abilities such as perception or reasoning. Unstructured information includes language, images, or other complex data. The integration of AI represents a significant step forward, in teaching, learning, and in the processing of information. Applied research and experimental development at the DIPF uses innovative AI methods to gain new insights into educational research and support educational practice. This can not only enable more effective knowledge transfer, but can also enable a deeper analysis and understanding of educational content. In addition to the digitalisation of education, openness and equity play a central role. The institute embeds the research and implementation of these innovative potentials in a critically reflective framework. This includes responsible and ethically appropriate technology with humans at the centre as well as correspondingly appropriate scientific communication.

Synergetic Collaborations

The work in the field of "AI and software development" is multifaceted and includes various areas of work (Technology-Based Assessment, Educational Technologies, Educational Computer Science). The success of the institute is not based on individual achievements, but on the synergetic collaboration of its various disciplines. From the development of new algorithms to the design of user-friendly interfaces – the teams work in the respective specialist communities to create pioneering solutions and ensure a targeted focus.

Focus on Usability for Researchers and Continuous Improvements

The usability of the findings and software are at the centre of the work at DIPF. By integrating state-of-the-art technologies, researchers should be given easy access to powerful tools (e.g. solutions for technology-based assessment). At the same time, services in the field of educational information and educational research are continuously improved in order to meet the ever-increasing demands.