METALADIN

Meta-Generator for tasks and solutions (help) from computer science and related disciplines

METALADIN is a CATALPA project

How can tasks that promote complex thinking processes be generated automatically and in a scalable manner? Researchers working on the METALADIN project are addressing this question. They want to create personalized, iterative exercises for competence-oriented tasks. Their focus is primarily on the skills of analysis, evaluation, and creation.

Project goals and research questions

Digital teaching and learning environments make it possible to

1.) impart knowledge,

2.) acquire skills, and

3.) test skills

in a scalable, personalized, and asynchronous manner. Repeated practice with personalized progression of difficulty levels and adaptation to professional backgrounds promotes learning success.

Currently, it is not possible at the FernUniversität (FEU) to offer every student personalized, iterative practice opportunities independent of time and location, as such practice tasks with competence assessment cannot be implemented manually due to resource constraints. METALADIN therefore uses ALADIN (a generator for tasks and solution aids from computer science and related disciplines) and extends it with AI and metamodels to automatically generate personalized exercises for conceptual modeling.

To this end, courses are structured into microlearning units (MLUs), each of which comprises knowledge transfer, skills acquisition, and skills assessment. Skills acquisition and assessment are generated in line with the learner's skills and professional background, and recommendations are made based on the skills assessment.