A4A Resources
Skeptical About AI?
AI Chat - Practical Examples
AI Chat - Short Courses
This section highlights some common concerns about generative AI, particularly as related to education. It suggests some best practices for educators.
AI Chat - Short Courses
AI Chat - Practical Examples
AI Chat - Short Courses
This section guides you through using AI chat systems with easy, step-by-step lessons. It starts with basic prompts and moves to advanced tips for better interactions.
AI Chat - Practical Examples
AI Chat - Practical Examples
AI Chat - Practical Examples
This page shows real-world ways to use AI chat systems for everyday tasks. It features clear, step-by-step scenarios from a diverse set of activities.
Nonprofit AI Guidance
Nonprofit AI Guidance
AI Chat - Practical Examples
This section provides practical guidance to nonprofits on the use of AI in the form of three downloadable mini lessons.
Nonprofit AI Tools
Nonprofit AI Guidance
Nonprofit AI Tools
This section provides advice and recommendations to nonprofits on using AI tools. It includes practical tips and use cases.
AI Lexicon
Nonprofit AI Guidance
Nonprofit AI Tools
This section explains common AI terms in simple language. It covers basic ideas like how models work and important topics such as safety and ethics.
Current Research Topics
This research analyzes the current state of generative AI integration in educator preparation and professional development, revealing uneven adoption, faculty resistance, and a limited focus on plagiarism prevention over pedagogical innovation. It identifies major research gaps, including the lack of tools for leadership skill development, the need for longitudinal studies, and scalable faculty training models.
This research analyzes AI-powered platforms designed to support adolescents, especially those in high-risk environments, by offering mental health tools, conflict resolution training, and digital safety education. While these technologies show promise for accessible, scalable support, concerns remain regarding their effectiveness, ethical design, and long-term impact. The report recommends hybrid models and participatory youth co-design.
This research analyzes how cutting-edge AI translation technologies, especially zero-shot and multi-modal models, can be applied to children’s literature and endangered languages. It identifies three critical gaps: the Nuance Gap in capturing figurative and cultural language, the Quality-Literacy Gap in post-editing AI outputs, and the Ethical-Technical Integration Gap in ensuring community-led, culturally respectful workflows.
This research examines advances in polar bear conservation science from 2014 to 2024, with a focus on Eric Regehr’s quantitative modeling of Arctic-wide population dynamics. Key innovations include integrated population models, bioenergetic simulations, and the incorporation of Indigenous Knowledge into conservation planning. The findings highlight climate-driven threats alongside successful frameworks for sustainable management and international cooperation.