This paper presents a conceptual model for creating digital educational games that aim to reduce mathematics anxiety (MA) and promote positive emotional engagement in mathematics education. No empirical data were collected or analyzed; the proposed model is based on a synthesis of theory and empirical …

Dit document presenteert een nieuw, op gedrag gebaseerd kader voor het verbeteren van de implementatie van regionale innovatiestrategieën voor slimme specialisatie (RIS3) door kunstmatige intelligentie (AI) te integreren met duurzaam alliantiebeheer. Op basis van vergelijkende casestudy's uit Noord-Nederland, …

Due to the variegated nature of the teaching profession system, different actors operating in this system (teachers, school leaders, policy makers) are inevitably intertwined and assumably influence each other’s sensemaking processes, especially when system-wide educational change occurs. Gaining insight …

Acknowledging the knowledge gaps and novel paradigms outlined above within both coaching research and practice, the PhD research aims to investigate how need-supportive coaching—rooted in Self-Determination Theory (SDT)—effectively fulfils the satisfaction of beginning teachers’ basic psychological needs …

The integration of Artificial Intelligence (AI) into peer learning has gained significant attention with demonstrated benefits in offering an overview of student characteristics, learning environment conditions, learning processes, learning outcomes, and their interplay constituting AI-supported peer …

This master’s thesis focuses on the implementation of a customized advanced controller for a gantry robot. Using mathematical models and numerical simulations, a Model Reference Adaptive Controller (MRAC) was selected. The controller was implemented on a Beckhoff-oriented system and validated on a physical …

Many product innovations can benefit from being more adaptive to their environment. Learning adaptive behavior can be time sensitive and complex. For that purpose we created a simulation environment with a reinforcement learning component for developing simple adaptive products. The environment models …

This research contributes to understanding and shaping systems for OFMSW separation at urban Small and Medium Enterprises (SMEs, such as offices, shops and service providers). Separating SMEs’ organic fraction of municipal solid waste (OFMSW) is both an opportunity and a serious challenge for the transition …

Machine learning models have been an inevitable tool for analyzing medical images by radiologists. These models provide important information about the contents of these images using extracted radiomic features. However, the dimensionality of the feature space can cause reduction in the accuracy of prediction, …

The current systematic framework of aviation has developed complex air transport systems where reliability and performance are sensitive and instantly adaptive to the supply side due to the growing and elevated degree of demand in aviation market circumstances. The role of quality measurements has increased. …