ProjectALEE – Adaptives digitales Lernen in der ökonomischen Bildung

Basic data

Acronym:
ALEE
Title:
Adaptives digitales Lernen in der ökonomischen Bildung
Duration:
3/1/2021 to 7/31/2024
Abstract / short description:
Adaptive digital Learning in Economics Education
The proposed project serves to research the fundamentals for the development of an adaptive, AI-based learning platform in economic education. Three research strands will be brought togethe in an interdisciplinary collaboration. The experts in the field of economic education review and develop internally differentiated material for the adaptive AI-based system. The computational linguists analyze and process the linguistic complexity of the learning material and work on the automated processing of semi-open tasks. The machine learning researchers are researching suitable representations for the learner model and are programming a first prototype of the adaptive AI-based learning platform.

Involved staff

Managers

Institute of Linguistics (SfS)
Department of Modern Languages, Faculty of Humanities
CRC 833 - Construction of Meaning: The Dynamics and Adaptivity of Linguistic Structures
Collaborative research centers and transregios
LEAD Graduate School & Research Network
Research training groups

Local organizational units

Institute of Linguistics (SfS)
Department of Modern Languages
Faculty of Humanities
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