Many have suggested that AI-based interventions could enhance learning by personalization, improving teacher effectiveness, or by optimizing educational processes. However, they could also have unintended or unexpected side-effects, such as undermining learning by enabling procrastination, or reducing …

In het snel evoluerende domein van machine learning is het cruciaal om het meest geschikte model voor een bepaalde dataset te selecteren. Inzicht in de kenmerken van een dataset kan een aanzienlijke invloed hebben op de resultaten van voorspellende modellen, waardoor de studie van de eigenschappen van …

The identification and development of talent have long been a central target of policy making in various domains, including education, sports, the arts and business. Given the importance of talent for success in a competitive global market, governments and businesses across the globe continually devise …

Manual crack inspection is labor-intensive and impractical at scale, prompting a shift toward AI-based segmentation methods. We present a novel crack segmentation model that leverages the Segment Anything Model 2 (SAM 2) through transfer learning to detect cracks on masonry surfaces. Unlike prior approaches …

In the dynamic landscape of higher education, fostering self-regulated learning (SRL) is crucial for empowering students to take control of their educational journey. This contribution explores the innovative approach of Me:Learning, a omprehensive toolset designed to enhance metacognitive knowledge …

To help students reach their full potential, additional challenges beyond the standard curriculum may be necessary for some. In Dutch secondary vocational education, education for talented students is organized in two prevalent ways: through participation in honors programs that foster community building …

Bio-based and circular building materials and techniques can play an important role in the transition toward a more sustainable construction sector. This study focuses on the Northern Netherlands and explores those competencies (in terms of knowledge, skills, and attitude) required by construction workers …

The introduction of generative AI (GenAI, e.g., ChatGPT) has transformed second language (L2) writing practices. Writers need to learn how to critically employ the tools’ affordances to maximise their learning and L2 instructors face the challenge of guiding students through these novel contexts (cf. …

There is a wide range of literature suggesting that implicit learning is more effective than explicit learning when acquiring motor skills. However, the acquisition of nursing skills in educational settings continues to rely heavily on detailed protocols and explicit instructions. This study aimed to …

In this thesis, we focus on developing behaviours for socially interactive agents (SIAs). The context in which the agent is used is a self-regulated learning system for children. We focus on personalising learning objectives and interaction content within an intelligent tutoring system (ITS). We envision …