Background: Complexity models have provided a suitable framework in various domains to assess students’ educational achievement. Complexity is often used as the analytical focus when regarding learning outcomes, i.e. when analyzing written tests or problem-centered interviews. Numerous studies reveal negative correlations between the complexity of a task and the probability of a student solving it.
Purpose: Thus far, few detailed investigations explore the importance of complexity in actual classroom lessons. Moreover, the few efforts made so far revealed inconsistencies. Hence, the present study sheds light on the influence the complexity of students’ and teachers’ class contributions have on students’ learning outcomes.
Sample: Videos of 10 German 8th grade physics courses covering three consecutive lessons on two topics each (electricity, mechanics) have been analyzed. The sample includes 10 teachers and 290 students.
Design and methods: Students’ and teachers’ verbal contributions were coded manual-based according to the level of complexity. Additionally, pre-post testing of knowledge in electricity and mechanics was applied to assess the students’ learning gain. ANOVA analysis was used to characterize the influence of the complexity on the learning gain.
Results: Results indicate that the mean level of complexity in classroom contributions explains a large portion of variance in post-test results on class level. Despite this overarching trend, taking classroom activities into account as well reveals even more fine-grained patterns, leading to more specific relations between the complexity in the classroom and students’ achievement.
Conclusions: In conclusion, we argue for more reflected teaching approaches intended to gradually increase class complexity to foster students’ level of competency. 相似文献
As the sophistication of technology has increased, so has public demand for quality. This expectation of quality has occurred across a broad range of products and systems, including education. To meet the demand for quality, many products and systems (including educational ones) have become increasingly complex. Within education there are also other factors which have driven up levels of complexity. These factors include increased diversity in the student body, a greater emphasis on collaboration and the drive to replace simple “delivery models” of teaching. It is well known from other fields, though, that as systems become more complex, they become more vulnerable to failure. For this reason, a formalised methodology known as “systems engineering” is often applied in industry to the management of large systems. The author argues that the use of systems engineering concepts in education would be likely to reduce failure rates and improve quality. This is particularly so in large-scale complex learning systems. The paper also discusses some implications of trying to use systems engineering methodology in modern educational systems. 相似文献
AbstractThe complex dynamical systems (CDS) approach consists of a family of theories emanating largely from the exact sciences. These theories share a common focus on the behavior of systems and their interrelated parts and are concerned with the processes of stability, change, and unpredictability in those systems. This article takes stock of the methods tailored toward the study of complex dynamical systems in education—for example, the interaction between teachers and students in classrooms, educational organizations such as school buildings and districts, and collaborative learning settings. A historical and conceptual background is provided as a context for CDS. Use of the perspective in education is evaluated according to three basic systemic assumptions: Systems behavior is complex, it evolves over time, and the nature of systemic transformation is qualitative. A comprehensive yet incomplete overview is provided of available research methodologies concerned with those assumptions. 相似文献
