In my teaching and research, I’ve been actively incorporating AI tools to enhance my practice and support my students and clients in counselling.
With my background in AI ethics, counselling and education, I’ve selected AI tools to assist practitioners and students. These tools enhance engagement, optimise workflows, and improve research skills.
University-level AI is for everyone, fostering broad participation and empowering students to engage, innovate, and shape the future.
AI Tools for Teaching and Learning
1. Research Rabbit
A powerful AI research tool that helps educators and students discover and visualise academic literature connections.
2. Quizlet
An AI-driven study platform that enhances learning through flashcards, quizzes and personalised learning paths.
3. Magic School
A comprehensive AI tool designed for educators, offering lesson plans, student assessments and administrative support.
4. Brisk Teaching
AI-powered assistant for grading, feedback and personalised learning paths tailored to individual student needs.
5. SchoolAI
An AI platform that integrates lesson planning, student engagement and content recommendations.
6. Diffit
Simplifies content differentiation, enabling educators to modify learning materials according to student needs.
7. Curipod
AI interactive presentation tool designed to create engaging and collaborative classroom activities.
9. Ideogram
A visual AI generator that aids in creating infographics, posters and other educational visuals.
AI Tools for Writing and Research
10. Claude
A sophisticated AI chatbot for content creation, writing assistance, and research support.
11. Consensus
An AI research tool that provides insights from academic papers and helps validate scientific claims.
12. Napkin
An AI brainstorming tool that connects ideas, notes, and concepts for more effective writing and research.
13. Pitch
A collaborative AI presentation tool designed for research and academic collaboration.
14. Gamma
A visual AI tool that assists in content structuring, simplifying the writing process for presentations and reports.
AI Tools for Grading and Assessment
15. Graide
Graide is an AI grading and feedback tool that automates marking while ensuring consistent and constructive feedback.
AI Tools for Data Analysis and Management
16. MAXQDA AI Assist
MAXQDA is an AI qualitative data analysis tool that aids in organising, coding and analysing research data.
17. Julius AI
Julius AI is a data analytics assistant that interprets and visualises complex datasets for academic and research purposes.
AI Tools for Video and Visual Learning
18. HeyGen
HeyGen is an AI video generation tool that creates engaging educational videos with virtual avatars.
AI Guidance: AI Act and Privacy & Safety Laws
With AI’s increasing integration in education, aligning with ethical standards and legal frameworks is crucial. The EU AI Act and global Privacy and Safety Laws provide guidelines to ensure AI applications in education remain transparent, fair and secure. Institutions adopting AI must adhere to data protection regulations such as GDPR to safeguard student and educator data. Ethical AI governance should be a priority, ensuring that AI tools in education create inclusivity, fairness and accountability.
Furthermore, international organisations such as UNESCO and OECD have established AI ethics principles to promote responsible AI deployment in education. UNESCO’s Recommendation on the Ethics of Artificial Intelligence provides a global framework emphasising human rights, data protection and AI literacy. Similarly, the OECD’s Principles on AI focus on transparency, accountability and robust governance to ensure AI benefits society while minimising risks.
Educational institutions should also consider national AI regulations and policies, ensuring alignment with broader AI governance frameworks, including the U.S. AI Bill of Rights, Canada’s AI and Data Act and similar legislation worldwide.
AI Engagement Across Economic Sectors
AI is not only changing education but also reshaping various economic sectors. A recent OECD study on AI intensity highlights key factors influencing AI engagement, including the demand for AI talent, innovation in AI applications, exposure to AI technologies, and the actual rate of AI adoption across industries. Sectors such as IT services, media and telecommunications are at the forefront, investing in AI innovations, while others, like scientific research and development, are using AI as a foundational tool.
Understanding AI’s impact across sectors provides educators and policymakers insights on integrating essential AI skills, ethics and governance into education to prepare students for an AI-dominated workforce.
Conclusion
AI in education is revolutionising teaching and research. These technologies, from AI-powered research assistants to immersive visual tools, can improve academic integrity, student engagement and wellbeing and content delivery. Educators and researchers should embrace these innovations to create dynamic and inclusive learning environments while ensuring compliance with AI regulations for responsible and ethical use.
