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Publications - 1

Advanced Digital and Artificial Intelligence-Based Solutions for Interactive, Collaborative Learning Support

Publication Name: Cando EPE 2024 Proceedings IEEE 7th International Conference and Workshop Obuda on Electrical and Power Engineering

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: 103-107

Description:

In the field of education, the effectiveness of interactive and collaborative learning support is significantly enhanced by advanced digital and artificial intelligence (AI)- based solutions. These tools are revolutionising not only teaching methods but also the learning experience. The use of AI enables a better understanding of learners' individual needs and learning styles and the design of personalised learning programmes. For example, adaptive learning systems analyse learner performance in real time and provide immediate feedback, as well as automatically adapting curricula according to students' progress. Interactive digital platforms allow students to collaborate, even from geographically distant locations. Such platforms often include video-conferencing features, collaborative workspaces and real-time collaboration tools to facilitate collaborative project work and group task solving. AI-based chatbots and virtual assistants provide ongoing support, answering learners' questions and helping them to navigate the course material. Gamification is also becoming increasingly important, integrating playful elements into the learning process to motivate and engage learners. AI has the ability to track students' progress in games and provide them with personalised challenges. Through data analytics, teachers can gain detailed insights into student progress and provide more targeted support. In this article, we explore the methodological and technological possibilities supported by modern digital interactive tools to support collaborative, adaptive learning processes. In a nutshell, we also refer to artificial intelligence-based possibilities.

Open Access: Yes

DOI: 10.1109/CANDO-EPE65072.2024.10772869