Editorial: ChatGPT and other generative AI tools

This is the authors' abstract. We don't add key points for this paper.

active participation in the learning process.For a reliable assessment of self-efficacy in GAI usage among university students, Morales-García et al.(2024) adapt the General Self-Efficacy Scale. The resulting GSE-6AI scale is validated and found to be both 34 reliable and invariant across genders, providing a valuable instrument for assessing students' self-efficacy 35 related to GAI in educational settings.The implementation of GAI in education settings necessitates the development of new skills among 37 learners and educators. In this line, Federiakin et al. (2024) Effective human-AI interaction strategies can significantly impact user engagement and decision-making. The studies in this research topic highlight the impact that generative AI is having across various facets of 94 higher education. From relevant students' characteristics, student engagement as well as enhancing learning 95 outcomes to transforming assessment practices, GAI tools like ChatGPT are reshaping the educational 96 landscape. However, the authors of the articles also point towards challenges, including ensuring the validity 97 and reliability of GAI-generated content, addressing limitations in GAI problem-solving capabilities, and 98 fostering critical engagement rather than overreliance on AI outputs. To this end, educators, researchers, 99 and policymakers must navigate these complexities thoughtfully. Embracing GAI's potential requires not 100 only integrating these tools into educational practices but also critically assessing their impact, limitations,