Conceptual Approach to an AI-Based Adaptive Study Support System for Individualized Higher Education

Abstract

In the context of the digital transformation, the targeted implementation of AI-based or AI-supported technologies in "teaching & learning" as well as "administration & service" holds considerable potential for organizational change and quality enhancement for higher education institutions. The use of AI in higher education teaching and services lags behind the level in research. Therefore, holistic solutions must be planned and implemented in unity of teaching and research for the AI-based support of the stakeholders’ inclusive administration, the further development or the establishment of new digital study programs and offers as well as the prospective qualification of university staff in the field of AI. The solutions must be analyzed, systematized, and structured to generate a conceptual approach via an integrated architecture with adaptive services.
 This paper is an evolution of the concept presented at the Learning Ideas Conference 2022 and includes, in addition to explanations of the current state of the arts, the presentation of a systems-oriented approach for AI in higher education as well as the conception of the student lifecycle management at the author’s university. The paper ends with the presentation of a concept regarding a decision support system for individualized studying.

Enhancing Psychological Well-being in Higher Education Post-Covid-19 Pandemic. The Role of AI-Based Support Systems—Bibliometric Reviews

“…On the other hand, AI systems are always available and can offer prompt assistance when required. Students who are reluctant to ask for aid because of time restrictions or social shame would especially benefit from this [11,12]. Secondly, Personalized Interventions has been known as AI's strength.…”

“…When students have serious issues and keep it to themselves, it can be dangerous, and that is why the system should predict and give warning to stakeholders to pay attention and help the student effectively. iv) The personal difficulties mentioned above also provide their own obstacles to inquiry, thereby necessitating the implementation of an effective system that prioritises [20,25]. v) Anonymous reporting and communication.…”

“…However, it is important to note that AI-based support systems should not replace human interaction entirely. The ideal approach is to use these tools as a complement to existing services, allowing human professionals to focus on providing more complex and personalized care to students who need it most [25,26].…”

Development of an Adaptive Higher Education Management Model with Artificial Intelligence

“…In facing this challenge, one of the main elements in adaptive higher education management is sustainability. Adaptive management models must consider operational, economic and environmental sustainability (Otto et al, 2023). The implementation of artificial intelligence (AI) and other technologies can be used to design solutions that are environmentally friendly and efficient in the use of resources, creating ecosystems that can survive in the long term.…”