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 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…

The adoption of generative AI in education has revolutionized science by producing human-like texts through contextual understanding, as OpenAI ChatGPT shows. OpenAI's widely used large language model, such as ChatGPT, has become quite popular, especially in higher education. This study examines different factors influencing the adoption and…

The rapid expansion of Artificial Intelligence (AI) is affecting many industries and organizations, including educational institutions of all levels. The purpose of this mixed methods multi-state study was to investigate K12 teachers' and administrators' knowledge of AI, use of AI, perceptions of AI, and concerns around this emerging technology.…

Intelligence is a well-studied construct in psychology that has correlational relationships with many educational, employment, and health outcomes. However, prior research indicates that incorrect beliefs about intelligence are widespread. In an effort to discern the degree to which the psychology curriculum is responsible for these inaccuracies,…

Purpose: The aim of this paper is to outline how artificial intelligence (AI) can augment learning process in the workplace and where there are limitations. Design/methodology/approach: The paper is a theoretical-based outline with reference to individual and organizational learning theory, which are related to machine learning methods as they are…

In this article, it is argued that it makes sense to define and distinguish three levels of human intelligence: intelligence as genotypical potential, intelligence as actualised in environmental interaction, and intelligence as measured by tests (IQ). This raises the questions of what is meant by the term "intelligence as potential", and…

This article explores the advantages of viewing intelligence not as a fixed trait residing within an individual, but rather as a person × task × situation interaction. The emphasis in the article is on the role of persons solving tasks embedded in situations involving learning, intellectual abilities, and competencies. The article opens with a…

Procedures for identifying the gifted often make use of tests of general intelligence, among other assessments. Robert J. Sternberg recently suggested that identification of the gifted should further involve assessment of what he refers to as adaptive intelligence--the ability to adapt to real-world environments. Such a conception of intelligence…