Anja Friedrich

The present study introduces a multidimensional approach to describing the composition of reflections, addressing previous inconsistencies in operationalization. The multidimensional approach was empirically explored in comparison to unidimensional reflection quality measures and examined in relation to reflection-related dispositions. Given the challenges of promoting reflection in teachers’ daily practice, low-threshold interventions—repeated practice and structuring prompts—were investigated regarding their potential to foster reflective competence. Using an integrated model of reflection, five proposed dimensions—describing, evaluating, naming alternatives, justification, and self-reference—were identified and assessed alongside the quality measures reflection depth and breadth, and holistic grading. N = 29 teachers reflected verbally on two teaching videos, first openly and then with structuring prompts. The transcribed reflections underwent qualitative and evaluative content analysis to extract quantitative data. Compared to existing quality measures, the multidimensional approach provided deeper insights into the complexity of the reflections. The correlations between different approaches to reflection measurement and the reflection-related dispositions were only partially as expected. While repeated practice did not yield a training effect, structuring prompts improved reflection quality. Overall, the findings confirm the usefulness of the multidimensional approach as a valuable means to describe the composition of reflections and highlight its potential for quality measurement.

The pervasive digitization of society underscores the crucial role of data and its significant impact on decision-making across various domains. As a result, it is essential for individuals to acquire competencies in handling data. This need is particularly pertinent in K-12 education, where early engagement with data and statistics can lay a foundational understanding for future academic and professional endeavors. Additionally, K-12 education should provide students with critical skills necessary for navigating the complexities of daily life and making informed decisions in a data-rich society. This systematic review examines the state of research on statistical and data literacy in K-12 STEM (Science, Technology, Engineering, and Mathematics) education. It focuses specifically on cognitive, affective, and behavioral metrics and pedagogical approaches empirically investigated in this context. Using a rigorous selection process, we identified and synthesized 83 original empirical papers. Additionally, we invited the authors of these studies to share their perspectives on future strategies for addressing statistical and data literacy. The results indicate that the included studies primarily focus on the construct of statistical literacy, which is operationalized through a diverse array of metrics, predominantly within the context of mathematics education. We identified effective pedagogical approaches, such as authentic problem-solving and the integration of real-world data. The researchers surveyed emphasized the importance of interdisciplinary teaching, adapted curricula, and improved professional development for pre- and in-service teachers. Our findings underscore the growing relevance of this field, but suggest that integrated perspectives on statistical and data literacy within STEM subjects are limited.

The study reported in this article draws upon data collected for the programme ‘Increasing the Efficiency of Mathematics and Science instruction’ (SINUS-Transfer), a professional development project in Germany. This programme’s approach requires teachers to improve their teaching in a cooperative manner and with regard to pedagogical problem areas in classrooms. A customized portfolio concept was developed to address the portfolio method as a means of supporting and evaluating teacher professional development. The teachers’ acceptance of the method is considered to be the central prerequisite for successful use of the portfolio; therefore, the main question investigated in this paper is how teachers assess the portfolio. Results of latent-class analyses show that acceptance of the portfolio differs widely for different groups of teachers. The study provides indicators on requirements that have to be met in order to effectively use the portfolio as a tool for evaluation.