Modern Learning in Universities of Applied Sciences:

how to align bricks with future education?

Jasper Driessen, Hester van Sprang, Brenda H. GroenSaxion UAS

The challenge

www.theberry.com

Agenda

• Context

• Methodology

• Results

• Conclusions

• Recommendations for future research

Context: changing society – modern learning

• New technologies lead to changing, disappearing, and emerging professions (Van den Oetelaar, 2012);

• Need for 21st century skills;

• Triple Helix model;

• Modern learning enables students to learn whenever they want, wherever they are.

Context: Dutch UAS

• 500.000 students, decrease expected

• 2.34 million m2 floor area

• Sufficiently equipped for future needs??• no long term vision on education and related facilities (Beckers & Van der

Voordt, 2013; 2014).

• often no insight in the organisation’s future accommodation requirements (Beckers & Van der Voordt, 2013; 2014).

Methodology

• Qualitative study; DAS-framework, literature review, scenario planning session, in-depth interviews.

• Nine CRE managers interviewed on current demand-supply match

• Scenario planning, panel of six education experts

• CRE managers discuss ML-scenarios

Figure I: DAS-framework (De Jonge et al., 2009)

Figure II: Driving forces for Modern Learning

Figure III: Modern Learning scenarios

Figure IV: Impact of ML scenario’s on UAS real estate

Conclusion

• Few UAS have tested future demand scenarios. Students hardly involved.

• RE of most Dutch UAS is only partly aligned for scenarios 1 and 2.

• No RE strategy for scenario 3 and 4.

• Effect of developments in RE market as a whole.

• High book losses expected, and major investments.

Recommendation to relevant practitioners

• Board level: create awareness on the need for a long term vision

• A structural dialogue and alignment between education, CRE, FM, ICT, and HRM

• Use scenario planning

• Create flexibility

• Involve students

Suggestions for future research

• Future (repetitive) research into the exact impact of ML-scenarios(disruptive technological developments!)

• Determine ML-scenarios for other (research) universities, secondary vocational education, etc.

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Research Symposium, Prague, Czech Republic.

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• De Jonge, H., Arkesteijn, M.H., Den Heijer, A.C., Vande Putte, H.J., De Vries, J.C. & Van der Zwart, J. (2009). Reader Corporate Real Estate Management – Designing an Accommodation Strategy (DAS Frame), Delft: Department of Real Estate & Housing.

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