Primary schools are challenged to continuously improve their teachers' teaching and their students' learning. Through an iterative process, we have developed a method to stimulate teachers to collectively collect and analyze data, derive consequences from their analyses, take actions and evaluate outcomes. Such processes are referred to as collective learning (Verbiest, 2002; Dixon 2002) through collective action research.
In order to study the impact of our method in practice, fifteen pilot-schools have applied this method of collective action research in their school-practice. Every pilot-school was followed intensively, both regarding processes as well as outcomes, leading to 15 case-description. Our research questions are: 1) what kind of framework is helpful to monitor collective learning in primary schools? and 2) which critical aspects are involved in the process of collective learning?
There are three important aspects underlying our definition of collective learning: influence, vitality and evaluating. With 'influence' we refer to the way Lundy (2005) uses this: whose voice is heard and who has influence on the process? The second aspect is vitality, which refers to the way people interact with each other. Castelijns, Koster & Vermeulen (2009) describe vitality in relation to collective processes as a balanced situation in which individual- as well as collective needs are fulfilled. The third important aspect in collective learning is the way the process is finished: do the participants evaluate their process of working and learning together in order to learn from the process itself (double-loop learning as defined by Argyris & Schön, 1978)? This theoretical background is the frame for the analysis of our cases.
Fifteen (qualitative) case-descriptions are the input for our analysis. We have developed an analytical framework, based on the three underlying principles for collective learning as described above. This framework consists of a set of descriptions (rubrics) which define each principle. Every case is read carefully and scores are adjusted for each principle leading to a quantitative measurement of collective learning. In addition to the quantitative scoring of case-descriptions, also a qualitative analysis is carried out by labelling text-fragments. The qualitative analysis helps to interpret the quantitative findings. By analysing our quantitative and qualitative data, we hope to be able to explore processes of collective learning.
At this moment half of the fifteen case descriptions are ready for analysis, the other cases are being written. Our first impressions in applying the analytical framework are that the framework offers a useful tool to monitor and interpret a case. We think the framework itself might not only be used for research purposes, but could also serve as an instrument for schools to monitor their processes. Our first analysis shows that the framework is useful for analysing the process of collective learning in detail and that the framework is applicable to all kind of different cases.