Aiducator

Aiducator is a CATALPA project.

How can feedback be generated automatically in a scalable, timely, and cost-effective manner? With the Aiducator project, our researchers have set themselves the goal of generating personalized feedback in real time and tailoring it to the individual needs of learners, such as media preferences, language, learning level, and personality. Aiducator is being tested and researched for competency-based assessments in conceptual modeling in computer science, with the aim of expanding the tool.

Project goals and research questions

Aiducator is an artificial intelligence (AI)-based tutoring system for competency-based assessments in conceptual modeling in computer science. Aiducator generates personalized feedback in real time and tailors it to the individual needs of learners, such as media preference, language, learning level, and personality. Aiducator creates learning paths for task completion, taking into account specified learning objectives and measured learning progress, and enables scalable and efficient support for learners. Aiducator addresses learners of all educational backgrounds, age groups, and genders by providing personalized, subject-specific, and accurate feedback in real time. This promotes motivation to achieve specified learning goals and a higher level of problem-solving understanding. Aiducator allows teachers to provide all course participants with optimal support tailored to their individual needs for the first time by reducing the time and effort required for one-on-one support and transferring it to Aiducator on a long-term basis. Aiducator improves the quality of learner support and enables effective, independent learning anytime, anywhere.