In spring 2026, the Teacher on an AI Journey tip series was published, which deals with the pedagogical use of artificial intelligence in teaching. The series provides teachers and education developers with practical tips and support for the use of AI tools ethically, safely and effectively.
The tip series is based on HAMK’s Design High-quality Module Implementation coaching, and it offers concrete ideas and tools for planning, implementing and developing high-quality and accessible studies with the help of artificial intelligence.
Artificial intelligence supports the planning and implementation of teaching
The series of tips consisted of five entities that support teaching. Each tip introduces the stage of the learning process and an artificial intelligence tool that the teacher can use immediately in their own work. This blog post summarises tips and their key content. Each tip is linked to a key phase of teaching and offers a concrete tool for everyday teaching practices. Links to tips below take you to HAMK’s staff’s internal communication channel.
Tip 1: Take advantage of AI guidance, support, and community (link)
The first part of the tip series will lead you to HAMK’s artificial intelligence instructions, support and communities. You will have access to practical tools and support for the development of teaching and the safe and responsible use of artificial intelligence. Learn more about the AI support package for staff, AI-Hub and Digipedabestis – HAMK’s own AI assistant that helps with digital pedagogical questions regardless of time.
Tip 2: Agents to help you plan and brainstorm your studies (link)
In the second part, you will learn how artificial intelligence, and especially AI agents, can support the planning and ideation of studies. Artificial intelligence acts as a digital sparring buddy, which you can use to brainstorm new studies, build the framework of an implementation plan, or draw up assessment matrices, for example. With the help of agents, the activities of artificial intelligence can be limited to certain data sources and needs, making the answers more accurate and the work smoother. Also check out the Study Inventor agent (in Finnish Opintokeksijä), which helps you plan your courses step by step.
Tip 3: Instruct students on the use of AI proactively and clearly (link)
In the third part, the focus is on providing students with clear and proactive instructions on the use of artificial intelligence. When the use of artificial intelligence is made a visible part of the learning process, it can support students’ learning, self-direction, and the development of expertise. Artificial intelligence can be used, for example, in brainstorming, data analysis, text editing, and to support one’s own studies. You will get practical examples of how artificial intelligence can be integrated into learning assignments and how learning assignments and the demonstration of competence can be developed to utilise artificial intelligence.
Tip 4: One piece of content can be used for many purposes – enrich your materials with the help of AI (link)
The fourth part of the series of tips examines how AI can help enrich and convert learning materials easily into different formats. With the help of artificial intelligence, one piece of content can be used to create, for example, slide series, videos, audio recordings, infographics or materials suitable for students of different levels. At the same time, students can also use artificial intelligence to support their own learning, for example, by condensing content, asking questions or converting the material into a form that can be listened to. You will get practical examples of how NotebookLM can be used to structure, transform and diversify materials to support teaching.
Tip 5: Artificial intelligence to support the formation of feedback (link)
The fifth part of the series focuses on how AI can support the formation of feedback and the planning of assessment in a pedagogical, ethically sound and safe way. Artificial intelligence can be used, for example, in modifying feedback, designing assessment matrices, supporting equality in evaluation, and strengthening students’ self-assessment. At the same time, the teacher’s expertise, responsibility in assessment, and transparency with students are emphasized. You will receive practical instructions on the responsible use of artificial intelligence in giving feedback, as well as familiarise yourself with the secure tools and current recommendations offered by HAMK.
Artificial intelligence is evolving – learn and renew yourself
The possibilities of artificial intelligence in teaching and learning are constantly evolving. That is why it is important to actively follow new tools, pedagogical practices, guidelines, and recommendations in the future as well. Artificial intelligence is not a substitute for teachers’ expertise, but at its best, it works as a partner that streamlines everyday teaching and supports its quality. Start with small experiments and let artificial intelligence support your work. By learning, experimenting and sharing experiences together, we can build responsible, pedagogically sustainable and future-oriented higher education.
