SRI Education researchers conducted an expert interview series, engaging a diverse group of researchers and practitioners in meaningful conversations about AI literacy in K-12. Drawing from these in-depth interviews with qualitative analysis, this report uncovers key themes that reveal the current state of AI literacy in K-12, the challenges we…

The introduction of artificial intelligence (AI) into education holds promise for supporting and augmenting teaching and learning-related activities. Yet, despite its potential, there is limited empirical research on the use of AI in K-12 settings exploring the pedagogical grounding, impact and implications of the technological solutions. The…

As artificial intelligence (AI) is becoming more integrated into the field of healthcare, medical students need to learn foundational AI literacy. Yet, traditional, descriptive teaching methods of AI topics are often ineffective in engaging the learners. This article introduces a new application of cinema to teaching AI concepts in medical…

Although interactive software has long been employed to complement traditional lecture and laboratory classes, instructors have typically been limited to premade programs produced by others with significant programming experience. Furthermore, many existing programs have limited platform cross-compatibility, with few compatible with the most…

Research has shown that emotional intelligence programmes can help improve adolescents' mental health, well-being, and behaviour. Although they are primarily applied in the school context, such programmes can also be adapted to specific populations. The aim of this study was to determine the effectiveness of an emotional intelligence programme for…

Over the past few decades, technology-enhanced learning has positioned instructional design as a crucial catalyst for academic innovation within higher education. The emergence and rapid integration of artificial intelligence (AI) are now reshaping instructional design practices. This review study reveals a rapidly expanding ecosystem of AI tools…

While Generative Artificial Intelligence (AI) presents new challenges for doctoral education, it also offers an opportunity to refocus doctoral programmes on their fundamental purposes: contributing to knowledge and developing critical researchers. This article draws on the literature on doctoral education to contend that a fixation on efficiency…

The urgent need to train military and civilian responders in combat casualty care during large-scale operations presents challenges due to the variability of learner preparedness and the resource demands of traditional curriculum development. This study examines the application of generative artificial intelligence (AI) in authoring and evaluating…

This work involves the use of bibliometric techniques to evaluate the metadata of the literature on digital leadership published during the last decade (2015-2025), with documents relevant to the analysis from our campus, the Universidad Autonoma de Santo Domingo, and specifically from the School of Languages, our area of teaching and research…

With growing research attention in artificial intelligence in education (AIED), there is a profusion of systematic reviews that have investigated AI integration in a wide variety of educational contexts, including PreK-12 schools and higher education. Even though existing systematic reviews have explored effects of AI on education, few studies…

Large Language Models (LLMs) are rapidly gaining attention across the open-source and commercial fields, bolstered by their constantly growing capabilities. While such models have a vast array of applications, their integration into higher education--as supportive tools for lecturers--has been largely unexplored. Exploring this area entails…

Programming demands a variety of cognitive skills, and mastering these competencies is essential for success in computer science education. The importance of formative feedback is well acknowledged in programming education, and thus, a diverse range of techniques has been proposed to generate and enhance formative feedback for programming…

Understanding students' multi-party epistemic and topic based-dialogue contributions, or how students present knowledge in group-based chat interactions during collaborative game-based learning, offers valuable insights into group dynamics and learning processes. However, manually annotating these contributions is labor-intensive and challenging.…

The current insertion of Machine Learning (ML) in our everyday life demonstrates the importance of introducing the teaching of a basic understanding of ML already in school. Accompanying this trend arises the need to assess the students' learning of ML, yet so far only a few assessment models have been proposed, most of them rather simple, based…

The release of ChatGPT in late 2022 marked the beginning of a rapid transformation in higher education, soon followed by the development of multimodal generative AI programs. As this technology becomes increasingly integrated into teaching and learning, it is crucial to evaluate its current use and impact. This systematic literature review…