Abstract:

Artificial Intelligence is rapidly reshaping digital learning platforms by offering personalized content, automated feedback, and adaptive learning paths. However, despite their increasing popularity, there is still limited understanding of which design practices truly support effective learning and how students perceive these AI-driven environments. This study addresses this gap by examining both the design principles commonly used in AI-based learning platforms and the reactions of students who interact with them.

The research explores two central questions: Which usability and design practices are most frequently implemented in today’s AI learning platforms, and how do students experience these practices during real interaction? To answer the first question, a systematic review of widely used platforms was conducted, focusing on interface clarity, navigation structure, feedback systems, and adaptivity features. This review helped identify a set of recurring design principles that claim to enhance engagement, reduce cognitive overload, and improve learning flow.

To investigate learners’ perceptions, a qualitative study was carried out using a focus group with university students. Participants interacted with a selected AI-based learning platform and completed structured learning tasks. Afterward, they discussed their experiences in a moderated session. The focus group method allowed the research to capture emotional responses, perceived advantages, frustrations, expectations, and trust-related aspects that are often overlooked in quantitative evaluations.

This research contributes to the field by offering a structured view of best practices in AI-supported learning design and by providing direct insights from students regarding usability, clarity, motivation, and trust. The results can guide educators, platform developers, and designers in creating AI learning environments that are not only technologically advanced but also aligned with the real needs and expectations of learners.

Keywords:

Human-Centered Design, Focus Group Method, AI-Based Learning Platforms, Usability and User Experience, Digital Learning Environments.