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  • Goal statement 2026

    In 2026, eduToolkit will focus on Agentic AI and the implementation of low-code solutions to automate complex educational and professional workflows.

    We are shifting from generative prompts to agentic workflow multi-agent solutions. By deploying “narrow agents”—AI entities designed for specific, high-precision tasks—we can create autonomous loops that handle research, drafting, assessment, and feedback within a unified ecosystem.

    The integration of low-code platforms ensures that these advanced AI architectures remain accessible to educators and managers, allowing “non-coders” to act as orchestrators of AI swarms. This approach transforms the learning ecology into a high-efficiency environment where human creativity is augmented by specialized digital agents.

  • Goal statement 2025

    In 2025, eduToolkit will focus on data-driven decision making using cluster analysis to optimize organizational structures. By leveraging tools like KNIME, we aim to move beyond traditional hierarchies toward agile, data-informed human resource management.

    The focus is on competence matching and the creation of optimal cross-functional teams. Through unsupervised machine learning (clustering), we can identify hidden synergies between diverse skill sets and micro-credentials within an organization. This allows for the algorithmic formation of teams that are not only balanced in expertise but also optimized for innovation and complex problem-solving.

    The goal is to provide a systematic way to bridge the gap between individual “skills intelligence” and collective “operational performance.”

  • Goal statement 2023

    In 2023 eduToolkit will focus on micro-credentials for lifelong learning and employability.

    The new credential ecology (Brown et al., 2021)

    In this credential ecology, micro-credentials are different from other types of credentials since they are unbundled, credit-bearing, and stackable.

    A micro-credential is a proof of the learning outcomes that a learner has acquired following a short learning experience. These learning outcomes have been assessed against transparent standards. (European Commission, 2020, p. 10)

  • Goal statement 2021

    Disciplinary DiscernmentIn 2021 eduToolkit will focus on decision-making in ambiguous situations and analyse how competence is transferred when participants increase their level of disciplinary discernment.

    Urban Eriksson defines disciplinary discernment as “noticing something, reflecting on it, and constructing new meaning from a disciplinary perspective” and the learning process involve “what to focus on in a given situation and how to interpret it in an appropriate, disciplinary manner”. From the framework of the autonomy of disciplinary discernment, we believe that professional development is often limited to the first level involving recognition and naming of disciplinary relevant aspects.

    The Anatomy of Disciplinary Discernment

    According to the variation theory of learning, becoming competent in a discipline involves simultaneous discernment of critical aspects of a given phenomenon (Fredlund 2012). This requires exposing the participant to different facets or values to reveal patterns of variation as awareness of sameness and differences (Matron and Booth, 1997). The goal for the participant is to be able to know what is important and how to appropriately interpret it for a given context.

  • Goal statement 2020

    In 2020 eduToolkit will focus on ‘The multiliteracies pedagogical approach’ and aspects of Situated Practice, Critical Framing, Overt Instruction, and Transformed Practice. The application in educational data mining creates a peer-to-peer “social knowledge” technology for learning communities.

    The research of Bill Cope and Mary Kalantzis has managed to apply artificial intelligence and big data analytics to e-learning ecologies. This changes the role of the educator, from transmitter of content to passive learners, to designer of a learning ecology.

    Mission statement:

    To develop a classroom practice based on design thinking and change the terminology in line with “Define”, “Ideate” and “Prototype” to promote an e-learning ecology that support innovative teaching and learning

  • Goal statement 2016

    In 2016 eduToolkit will focus on Technology Enriched Instruction, since key trends accelerating technology adoption rely on real life examples of its current use. The NMC Horizon Project predict school will use Hybrid Learning Designs with both physical and virtual learning environments. There is an increasing interest to bring real life experiences into the classroom and this type of authentic learning has previously been limited to museums and science centres. Blended learning encourage students to follow their own learning pathways and interests.

    Equipping teachers with the capacity to create a learning environment that will enable 21st century skills for students (Angela Shaerer)

    Mission statement for 2016:

    There is now new modules to apply simulations and gamified learning environments to your classroom. A digital badge is an online representation of a skill you’ve earned.