5. Needs assessment
1. Get insight in problem behavior
2. Get insight in different sub populations
3. Get insight into factors influencing desired behavior
Matrix of change goals
1. Determine the intervention objectives
2. Determine the most important modifiable factors
3. Determine the populations for interventions
4. Make by populations a change matrix
Theoretical methods
1. List for each factor theoretical methods for change
2. Derive from the theory under what conditions, the
methods are useful
3. Translate the methodologies into intervention strategies
Intervention design and production
1. Combine the intervention strategies in an intervention
program
2. Design and produce the required materials
3. Test in a pilot of the materials of the intervention of
applicability and usability
Develop implementation and dissemination plan
Design evaluation-plan & method
Implementation
Evaluation
6. Example
1. Digital Whiteboards: teachers don’t use them
2. Populations: ICT, concierge and the teachers
3. Teachers don’t know if the the classroom stays the one is
scheduled, the cables were to short and no help on
demand
4. The concierge has ICT-skills, and is willing to help
5. Goals: ICT-skills, and has the attitude to help
6. Intervention: Professionalize ICT-skills, change attitudes
7. Skills Knowledge Attitude
ICT Train concierge
Make
instruction
cards
Concierge
ICT-skills:
problem solving
Willingness to
help
Teachers
ICT-skills digital
white boards
Desired help
8. Example
1. Changing attitudes: Deci & Ryan: motivation! Helping makes you
feel good.
2. Internal motivation is the best driver for behavior
3. Reward helping-behavior
4. Make a intervention program: making instruction cards, make help
calling signs, make a training program, etc.
5. Make the materials
6. Test the materials in a pilot
7. Implement and disseminate the plan
9.
10.
11.
12.
13. Literature
Kennisnet (2012) Four in balance. Retrieved from: http://www.kennisnet.nl/uploads/tx_kncontentelements/Four-In-Balance-Monitor-2012.pdf
Kreijns K., Vermeulen, M., Van Acker, F., & Buuren, H. (2014) Predicting teachers’ use of digital learning materials: combining self-
determination theory and the integrative model of behavior prediction. European Journal of Teacher Education 37(4), 465-478
Kreijns, K., Vermeulen, M., Kirschner, P., Van Buuren, H. & Van Acker, F. (2013). Adopting the Integrative Model of Behavior Prediction to
explaiin Teachers’ willingness to use ICT: a perspective for research on teachers’ ICT usage in pedagogical practices.Technology, Pedagogy
and Education 22(1), 55-71.
NMC (2014) Retrieved from: http://www.nmc.org/publications
