STEM teacher shortage remains a serious problem in secondary education in many European countries, despite many interventions and many research studies over the last decades. The observation that... Show moreSTEM teacher shortage remains a serious problem in secondary education in many European countries, despite many interventions and many research studies over the last decades. The observation that past interventions and research outcomes have not significantly contributed to reduce teacher shortage implies that places to effectively intervene in the teacher education system have not been found yet. In this paper a systems thinking approach is presented to evaluate the fundamental and structural problems of an academic teacher education system regarding STEM student entry. Thorough understanding of the systemic structure of a teacher education system is essential to identify leverage points for STEM teacher recruitment. Based on systems thinking principles and theoretical frameworks, a stepwise research framework was defined, which was tested in the Dutch academic teacher education system. First, potential factors of concern were identified based on the collection of many data such as existing public information, reports and long-term student entry data. These potential factors of concern were subsequently investigated by student surveys and structured interviews with stakeholders from science faculties and teacher training institutes. Synthesis of the results led to the identification of three leverage points for increasing STEM student entry in the teacher training, which were all found at the organizational and structural level of the academic teacher education system. The systems thinking research framework presented in this paper provides a valuable framework to address persistent problems in education and enables the identification of novel and potentially more effective interventions. Show less
Uleman, J.F.; Melis, R.J.F.; Quax, R.; Zee, E.A. van der; Thijssen, D.; Dresler, M.; ... ; Rikkert, M.G.M.O. 2020
Alzheimer's disease (AD) is a complex, multicausal disorder involving several spatiotemporal scales and scientific domains. While many studies focus on specific parts of this system, the complexity... Show moreAlzheimer's disease (AD) is a complex, multicausal disorder involving several spatiotemporal scales and scientific domains. While many studies focus on specific parts of this system, the complexity of AD is rarely studied as a whole. In this work, we apply systems thinking to map out known causal mechanisms and risk factors ranging from intracellular to psychosocial scales in sporadic AD. We report on the first systemic causal loop diagram (CLD) for AD, which is the result of an interdisciplinary group model building (GMB) process. The GMB was based on the input of experts from multiple domains and all proposed mechanisms were supported by scientific literature. The CLD elucidates interaction and feedback mechanisms that contribute to cognitive decline from midlife onward as described by the experts. As an immediate outcome, we observed several non-trivial reinforcing feedback loops involving factors at multiple spatial scales, which are rarely considered within the same theoretical framework. We also observed high centrality for modifiable risk factors such as social relationships and physical activity, which suggests they may be promising leverage points for interventions. This illustrates how a CLD from an interdisciplinary GMB process may lead to novel insights into complex disorders. Furthermore, the CLD is the first step in the development of a computational model for simulating the effects of risk factors on AD. Show less
