A New Era of Learning Begins Here
Why AI?
Reduce time and save money
Build personalized learning journeys
Future-Ready Skills
HOW WE APPROACH AI IN EDUCATION
- Your very own AI readiness scan
Step: 1 - AI readiness scan
Series of interviews with key stakeholders to assess current ‘state of AI’ at the institution on four topics: Awareness, Application, Human Capital Development and Ecosystem partners. APPLICATION: The readiness scan zooms in on the extent to which the subject is already alive, where expertise is located, who belongs to the forerunners, so that they can be brought into contact with each other insofar as this is not yet the case.
Step: 2 - Masterclass AI in Education
Designed for decision makers with latest (inter)national developments and evaluation of the findings from the AI readiness scan to help formulate the AI ambition statement. APPLICATION: In the masterclass, participants are upskilled by leveraging research and Turner cases at comparable organizations. They’re challenged to express an ambition for their own organization together, for example in which field they want to be distinctive.
Step: 3(a) - Define AI strategy
An AI strategy one pager is developed for education, research and operations based on the AI ambition statement. APPLICATION: A strategy contains elements such as: vision on talent development and the professionalization of employees. Are we going to develop courses ourselves or are we going to shape this differently? How do we look at the use of AI in education, research and operations?
Step: 3(b) - Setting up AI Pioneers team
A pioneers team is created with representation of all departments. Students are also involved in developing products and doing research. Communication strategy & awareness programme are designed, and upskilling teachers, students & staff starts. With the pioneers team new and ongoing AI initiatives are brought together and streamlined into an AI experiment portfolio. We develop an appropriate governance mechanism to make sure execution is well embedded into the departments. APPLICATION: The readiness scan zooms in on the extent to which the subject is already alive, where expertise is located, who belongs to the forerunners, so that they can be brought into contact with each other insofar as this is not yet the case.
Step: 4 - Develop AI Roadmap
The roadmap shows all major initiatives during the upcoming cycles and their dependencies and is accompanied by the required resources and budget. APPLICATION: The roadmap often starts small and starts with some elements from the AI strategy. The first 3 to 6 months experience is gained with the method. After that, it can be scaled up after evaluation.
Step: 5 - Develop AI Roadmap
Every cycle the Pioneers team will evaluate the roadmap (4), strategy (3a) and governance (3b), while creating a reflective loop with the top management for learning. APPLICATION: Because developments are moving at lightning speed, occasionally standing still and zooming out is crucial. Do we have enough focus and the right people? Therefore, after 3-4 months, spend a day together harvesting, sharpening and looking ahead.
HOW WE APPROACH AI IN EDUCATION
- Your very own AI readiness scan
Step: 1 - AI readiness scan
Series of interviews with key stakeholders to assess current ‘state of AI’ at the institution on four topics: Awareness, Application, Human Capital Development and Ecosystem partners. APPLICATION: The readiness scan zooms in on the extent to which the subject is already alive, where expertise is located, who belongs to the forerunners, so that they can be brought into contact with each other insofar as this is not yet the case.
Step: 2 - Masterclass AI in Education
Designed for decision makers with latest (inter)national developments and evaluation of the findings from the AI readiness scan to help formulate the AI ambition statement. APPLICATION: In the masterclass, participants are upskilled by leveraging research and Turner cases at comparable organizations. They’re challenged to express an ambition for their own organization together, for example in which field they want to be distinctive.
Step: 3(a) - Define AI strategy
An AI strategy one pager is developed for education, research and operations based on the AI ambition statement. APPLICATION: A strategy contains elements such as: vision on talent development and the professionalization of employees. Are we going to develop courses ourselves or are we going to shape this differently? How do we look at the use of AI in education, research and operations?
Step: 3(b) - Setting up AI Pioneers team
A pioneers team is created with representation of all departments. Students are also involved in developing products and doing research. Communication strategy & awareness programme are designed, and upskilling teachers, students & staff starts. With the pioneers team new and ongoing AI initiatives are brought together and streamlined into an AI experiment portfolio. We develop an appropriate governance mechanism to make sure execution is well embedded into the departments. APPLICATION: The readiness scan zooms in on the extent to which the subject is already alive, where expertise is located, who belongs to the forerunners, so that they can be brought into contact with each other insofar as this is not yet the case.
Step: 4 - Develop AI Roadmap
The roadmap shows all major initiatives during the upcoming cycles and their dependencies and is accompanied by the required resources and budget. APPLICATION: The roadmap often starts small and starts with some elements from the AI strategy. The first 3 to 6 months experience is gained with the method. After that, it can be scaled up after evaluation.
Step: 5 - Develop AI Roadmap
Every cycle the Pioneers team will evaluate the roadmap (4), strategy (3a) and governance (3b), while creating a reflective loop with the top management for learning. APPLICATION: Because developments are moving at lightning speed, occasionally standing still and zooming out is crucial. Do we have enough focus and the right people? Therefore, after 3-4 months, spend a day together harvesting, sharpening and looking ahead.
BEENOVA AI WORKS ON YOUR EXISTING PLATFORMS
DellEMC
Challenge: Confusion about AI strategy and tools stalled progress.
Approach: Workshops, upskilling sessions, and our Beenova AI tool guided them to a clear, actionable roadmap.
Outcome: Streamlined operations and new business opportunities positioned DellEMC as AI-driven innovators.
Success Stories
Breda University of Applied Sciences
Challenge: Uncertainty about integrating AI into education frameworks.
Approach: Masterclasses, workshops, and a one-year trajectory to build an internal AI leadership team.
Outcome: Breda University established sustainable AI initiatives led by in-house pioneers.
Koning Willem I College
Challenge: Little understanding of AI and its potential for education.
Approach: Rapid upskilling through AI masterclasses and tailored AI tool implementation.
Outcome: Transformed from AI novices to educational leaders in AI adoption.