Akademik Veri Yönetim Sistemi
17. ULUSLARARASI BİLGİSAYAR VE ÖĞRETİM TEKNOLOJİLERİ SEMPOZYUMU, Kastamonu, Türkiye, 3 - 05 Ekim 2024, ss.7
User Experience (UX) design focuses on enhancing users' experiences throughout digital
platform interactions, whereas Learner Experience Design (LXD) is a vital area of study that
attempts to provide more efficient learning experiences. Artificial Intelligence (AI)
technologies offer plenty of opportunities to enhance learners' experiences by customizing
them to their individual requirements, hence increasing efficiency and personalization. Is it
possible for the convergence of these two dynamic and fast evolving domains to amplify this
capacity? This study seeks to investigate the convergence and future possibilities of two rapidly
evolving domains, namely UX and AI technologies. This study investigates the ways in which
future learning environments can be influenced at this point of junction, and the possible
advantages of these technologies as indicated by the relevant literature. This research aims to
find the possibilities of collaboration by analyzing existing studies that explore the intersection
of the two domains through a comprehensive examination of the literature. It explores the new
solutions that arise from the integration of different domains in terms of learning experiences.
The data collected from the literature review will be examined using the content analysis
method, focusing on the identified themes. The literature review will be analyzed based on the
following sub-themes: personalized content recommendations, adaptive interface dynamically;
automatic analysis and testing of user behavior. Additionally, it includes visual detection and
instant feedback aides, as well as automatic accessibility controls and navigations. This study
highlights the potential of AI-enabled products for individuals with various disabilities who
require particular assistance. To enhance LXD in learning platforms, alternative support and
measurement systems, such as emotion detection and gesture analysis, can be utilized. This is
particularly important due to the limits of measuring tools that rely on self-report. The
importance of instant feedback, which is an important argument in learning processes, is
important in terms of providing critical suggestions accompanied by literature data to explore
the potential of proactive support systems in user experience design. After completion, this
research is anticipated to offer crucial recommendations for various phases of user experience
design processes, a pivotal component in enhancing learning environments. The study is
anticipated to make a valuable contribution to the advancement of novel methodologies in the
user experience design process for upcoming educational settings.