ITSs have the requirement to be adaptive to the student with AI. The classical ITS architecture defines three components to split the data and to keep it flexible and thus adaptive. However, there is a lack of abstract descriptions how to put adaptive behavior into practice. This paper defines how you can structure your data for case based systems…

The 6E Learning by Design (LbD) model can enhance student teachers' development of competence for integrating technologies in the classrooms including Artificial Intelligence (AI). However, teacher educators rarely use the 6E LbD model in supporting and encouraging student teachers to integrate AI applications in their classrooms effectively. To…

The rapid advancement of generative artificial intelligence (GAI) and the extensive use of social media have transformed how students engage with educational materials and interact with their peers. Collaborative learning (CL) platforms, empowered by artificial intelligence (AI) algorithms, have gained popularity due to their potential to enhance…

Educators are at the forefront of shaping the future of education, particularly as technological advances introduce new tools and methods. Generative AI is a powerful tool capable of producing high-quality content based on properly constructed user prompts. While these advancements present significant opportunities, they also pose challenges. This…

This study explored the integration of Artificial Intelligence (AI) tools in finance education, focusing on student perceptions, emotional reactions, and educator experiences. Quantitative data were gathered using the Synthetic Index of Use of AI Tools (SIUAIT) instrument, administered over three semesters. The findings revealed that finance…

This paper explores pre-service life sciences teachers' behavioral intentions toward integrating artificial intelligence into life sciences teaching. Despite the growing influence of AI in education, there is limited understanding of the factors affecting teachers' willingness to integrate AI into life sciences teaching. These factors could inform…

In this study, we delve into the opportunities, challenges and prospects of gifted students in middle and secondary school in tapping artificial intelligence (AI). The first part introduces AI and its role in education and discusses how school students need to understand and use AI effectively. The second part examines the concept of giftedness…

The use of existing and emerging technologies in teaching modalities and learning spaces provides the opportunity to present subject-area content using devices, programs, and modalities in more authentic ways that promote higher order thinking and promote long-term concept retention. In the last decade, advances in artificial intelligence (AI)…

The increasing attention to Machine Learning (ML) in K-12 levels and studies exploring a different aspect of research on K-12 ML has necessitated the need to synthesize this existing research. This study systematically reviewed how research on ML teaching and learning in K-12 has fared, including the current area of focus, and the gaps that need…

Recent work describes methods for systematic, data-driven improvement to instructional content and calls for diverse teams of learning engineers to implement and evaluate such improvements. Focusing on an approach called "design-loop adaptivity," we consider the problem of how developers might use data to target or prioritize particular…