Supervised training with Martin Lackéus

This training gives you the opportunity to deepen your knowledge in the research method Designed Action Sampling (DAS) – a new research method that has been widely used in Sweden by around 4,000 teachers and educational developers, together with some 36,000 students. Teachers or researchers co-design action-oriented step-wise experiments that are then carried out by other teachers, or by students, who reflect in written form afterwards upon effects they see. This results in high-quality data on cause-effect patterns. This methodology combines strengths from action research, design science, experience sampling and critical realism.

👉 The research method

Designed action sampling consists of the following five steps:

• Design. A smaller group of educational developers (teachers, principals, researchers, support staff or a combination) co-designs a set of action-oriented pedagogical tasks for many other teachers, or for students.
• Action. A larger group of other teachers, or students, carry out the action tasks in class, to see how it works for them.
• Sampling. After each action task is completed, each teacher or student produces a short written reflection and a quantification around learning and effects observed.
• Discussion. The development team reads and comments back on each reflection, in real-time as the experiment unfolds, potentially triggering further reflection.
• Analysis. A summary of all reflections, comments and quantifications is collectively analyzed by all teachers involved, and possibly also by students, facilitated by the educational developers.

Designed Action Sampling is described in a recent book in Swedish, which will be translated in due time for the international start for this training. There is also a research article in English about DAS. It is currently in review, and can be provided to people interested in this training.

👉 Some possible applications

Designed Action Sampling has been used for many different purposes, in education as well as in working life, and for researchers as well as for practitioners. A common denominator is that the methodology helps make learning visible, and that it can empower social science endeavours. Whenever human learning is a key component of a scholarly or practical purpose, the method can be useful. Some organisational applications of DAS seen so far, involving employees (such as teachers), include:

• Strengthen employees’ skills development by weaving it into their everyday worklife and scientifically monitoring its effects
• Replace employee surveys with digital trustful manager-employee dialogues
• Follow group learning in a collective form with a scientific methodology
• Conduct social experiments with customers to better understand value creation processes
• Quality improvement by scrapping some internal reports and replace with reflection-based collective analysis

Some educational applications of DAS seen so far, involving students, include:

• Facilitate entrepreneurial pedagogy from preschool through primary / secondary school to university level
• Support reflective assessment in action-based education such as vocational education / training (VET)
• Help teachers who work with work-integrated learning as a key part of their pedagogical approach

👉 The training

The entire training includes two separate courses:

Course 1: Self-study in Value-Creating Science (VV) – Get started (2025)
In this first course, you will learn more about the basics of the VV method and receive support in making a detailed and well-designed plan for an intended research. You will receive support in finding your purpose in working “just right” scientifically, how the VV method is best applied in your particular organization and how to achieve a complete and well-designed planning of a research – a data-driven development work.

Course 2: Value-Creating Science (VV) – Moving Forward (spring 2026)
In course 2, you will learn more about how to launch your planning, what challenges it entails and how to handle these challenges. You will receive personal and concrete support in following the learning of your employees and then receive help in analyzing the effects of your research using AI and other tools.

This course is based on each participant running an implementation project in a critical situation, and sharing experiences and insights with other participants.

– > After completed training, you can lead your organisation’s work with Designed Action Sampling.

You decide for yourself what pace you want in your self-study during course 1. Course 2 will start in spring 2026 and consists of 3 digital workshops, led by Martin Lackéus.

You can read more about each session in separate tab above. In order to participate you must be able to set aside at least 1 hour a week for your own professional development. It is an advantage if you are two or more people from the same organization participating. The maximum number for this training round is 10 people.

👉 Coaching

• Guidance with reading references and tasks via the IT tool, LoopMe
• Individual digital feedback on your reflections after completed assignments
• Support (but not requirement) in writing a development article based on LoopMe data, if you wish to do so

👉 Community

Participants in this training are all engaged change-makers who share a passion for innovative development of research and education / learning. A strong emphasis in this training is therefore put on participants getting to know each other, working together at the workshops and also (if time allows) between workshops, thereby sharing experiences and insights with each other. This builds up a strong community of action research scholars and learning-oriented change-makers who help each other to succeed in a broad variety of contexts.

👉 Certificate

All participants who have completed the training receive a certificate via LoopMe Group.

👉 Cost

Course 1: Free of charge

Course 2: 500€, excluding VAT, per participant.
Note! In order for this training to be carried out, it is required that all 10 places are filled.

Don’t miss this unique opportunity to gain expert knowledge about how you can strengthen your organization’s development capacity with a new and powerful scientific methodology.