Engaging Student Diversity in Self-Adaptive Learning Management Systems through Intelligent Tutoring

Feedback enables the maintenance of motivation and the correct self-assessment of learners' individual progress. As individual tutoring by instructors is not always possible due to limited resources, Intelligent Tutoring Systems (ITS) can supplement such instructors to a certain extent. However, ITSs so far only adapt to the status of the learner, but not to the learners' diverse backgrounds (e.g., culture, gender, and socioeconomic status). Furthermore, gamification can be a suitable tool to increase learners' motivation. To investigate the differential impact of adaptive feedback and gamified learning elements on diverse learners in terms of learning outcomes, learner acceptance, and learning motivation, an ITS with these characteristics will be developed in this project. Such an adaptive and gamified ITS aims to address diverse students' needs and thus reduce course heterogeneity, thereby offering new opportunities for inclusive teaching. Therefore, this project forms the basis for future research on the ethically guided usage of ITS in classrooms, cyber-human learning, and the trustworthiness of AI in education.