This scientific book compiles a collection of pivotal research articles that address the rapidly evolving landscape of artificial intelligence (AI) and machine learning (ML) within diverse educational contexts, as well as foundational studies on large language models (LLMs). This compilation aims to provide a comprehensive overview of the current state of research, spanning from the theoretical underpinnings and practical applications of these technologies to their ethical and societal implications.
Connor NelsonAdam DoupéYan Shoshitaishvili
Enhong ChenZhenya HuangJiayu LiuQi LiuJing ShaShijin WangJinze WuTong Xiao
Benedikt ZönnchenMartin HobelsbergerGudrun SocherVeronika ThurnerSarah Ottinger