Publications

This two-year study followed a professional learning community (PLC) of STEM Teachers Leaders, referred to as L-PLC. The onset of the COVID-19 pandemic accelerated changes in the focus of many professional development frameworks from face-to-face to online communication. We sought for new ways and tools to follow the professional development and the dynamics in our L-PLC. In particular, we explored professional knowledge development and social interactions, as derived from its WhatsApp group (4348 participants) discourse, before and during the COVID-19 pandemic. Data were extracted from 6599 WhatsApp messages issued during four consecutive semesters (March 2019March 2021), as well as from participant background questionnaires. The analysis incorporated both structure and content examination of the L-PLC WhatsApp discourse, using social network analysis (SNA), and a distinctive coding scheme followed by statistical analysis, heat map, and bar graph visualizations. These provided insights into whole group (macro), subgroups (meso), and individual (micro) profiles. The results indicated that over time, the participants gradually began to use the WhatsApp platform for professional purposes on top of its initial administrative intention. Moreover, the pandemic seemed to lead to a unique adjustment process, denoted by enhanced professional interactions, regarding content knowledge, professional content knowledge, and technological knowledge, and also accelerated the development of productive community behaviors, such as sharing and social support. The research approach enabled us to detect changes in key PLC characteristics, follow their dynamics under the influence of chaotic changes and navigate the community accordingly. Taken together, WhatsApp exchanges can serve as a rich source of data for a noninvasive continuous evaluation of group processes and progress.

Mechanistic reasoning is a powerful form of reasoning central to scientific explanations. Despite mechanistic reasoning being an important dimension of scientific practice and a central dimension of science curricula, students face difficulties in developing such type of reasoning. Many authors have been proposing tools for supporting its development; drawing is one such tool. Studies that purposefully explore how drawing leverages and supports students' mechanistic reasoning while engage in a process of constructing explanations are still scarce. The goal of the current study was to understand how students' mechanistic reasoning emerges and is enacted when students are jointly involved in drawing creation. For that, we drew on a recent framework that identifies essential characteristics of students' mechanistic reasoning and also on theories of distributed and embodied cognition. In this paper, we present a pair of middle school students who jointly explain a chemical phenomenon by creating drawings and reasoning with them. Using a fine-grain analysis we examined the elements of students' mechanistic reasoning in relation to drawing creation and how talk and embodied actions on and with the drawings were used to support students' reasoning. Findings reveal that drawings played a key role in paving the way for students reasoning about mechanisms and in enacting mechanistic reasoning. In particular, drawings were essential for pushing students to look for a mechanism, for enabling and supporting mechanistic reasoning-in-action, and for facilitating productive interactions between the students that ended up in the construction of a sophisticated mechanistic explanation.

The concept of distance learning as a means to expand learning options in the south, was the focus of a study conducted in 2018-2019 among school principals, teachers and students. The findings showed little enthusiasm for this solution and even opposition to it. Following the Corona crisis and the constraints of the education system to use distance learning as a primary means of continuing learning, we are currently repeating the data collection as a primary means of continuing learning, we are currently repeating the data collection. Here we present preliminary findings that indicate a change in attitude towards distance learning and even seeing the Corona crisis as an opportunity to improve infrastructure and to deepen teacher and student training in using Information and Communication Technologies.

The purpose of this study is to provide insight into short-term professionalization of teachers regarding teaching socioscientific issues (SSI). The study aimed to capture the development of science teachers' pedagogical content knowledge (PCK) for SSI teaching by enacting specially designed SSI curriculum materials. The study also explores indicators of stronger and weaker development of PCK for SSI teaching. Thirty teachers from four countries (Cyprus, Israel, Norway, and Spain) used one module (30-60min lesson) of SSI materials. The data were collected through: (a) lesson preparation form (PCK-before), (b) lesson reflection form (PCK-after), (c) lesson observation table (PCK-in-action). The data analysis was based on the PCK model of Magnusson, Krajcik, and Borko (1999). Strong development of PCK for SSI teaching includes "Strong interconnections between the PCK components," "Understanding of students' difficulties in SSI learning," "Suggesting appropriate instructional strategies," and "Focusing equally on science content and SSI skills." Our findings point to the importance of these aspects of PCK development for SSI teaching. We argue that when professional development programs and curriculum materials focus on developing these aspects, they will contribute to strong PCK development for SSI teaching. The findings regarding the development in the components of PCK for SSI provide compelling evidence that science teachers can develop aspects of their PCK for SSI with the use of a single module. Most of the teachers developed their knowledge about students' understanding of science and instructional strategies. The recognition of student difficulties made the teacher consider specific teaching strategies which are in line with the learning objectives. There is an evident link between the development of PCK in instructional strategies and students' understanding of science for SSI teaching.

Modeling is a core scientific practice. This study probed the meta-modeling knowledge (MMK) of high school students who study science but had not had any explicit prior exposure to modeling as part of their formal schooling. Our goals were to (A) evaluate the degree to which MMK is dependent on content knowledge and (B) assess whether the upper levels of the modeling learning progression defined by Schwarz et al. (2009) are attainable by Israeli K12 students. Nine Israeli high school students studying physics, chemistry, biology, or general science were interviewed individually, once using a context related to the science subject that they were learning and once using an unfamiliar context. All the interviewees displayed MMK superior to that of elementary and middle school students, despite the lack of formal instruction on the practice. Their MMK was independent of content area, but their ability to engage in the practice of modeling was content dependent. This study indicates that, given proper support, the upper levels of the learning progression described by Schwarz et al. (2009) may be attainable by K12 science students. The value of explicitly focusing on MMK as a learning goal in science education is considered.

This study focuses on using wikis as a learning environment, as part of a professional development program for chemistry teacher leaders. The study was performed in Israel and involved 20 chemistry teachers. One goal was to investigate how using wiki may promote effective science teacher professional development. Various aspects of the teachers' wiki experience were investigated. Based on their contribution rate to the wiki activity, different participation profiles were revealed: 44% of the teachers were defined as peripheral members of the community, 28% as central members, and 28% as leaders of this community. Differences were observed between younger (below the median age of 45) and older teachers regarding their attitudes, feelings of ownership and preferences of working environment. The current study sheds light on the reasons why some teachers were more reluctant and less active in the wiki environment-the findings suggest that it is neither correlated with technical difficulties, nor with the relevance of the content. We believe that it has to do with the perception of the relevance of the wiki environment itself (as a model of other virtual environments) to their teaching in classroom. Small-scale results suggest a correlation between the teachers' personal participation rate in the wiki environment and their perception of their classroom as 'student-centered' or 'teacher controlled'.

Modeling is a core practice in science and a central part of scientific literacy. We present theoretical and empirical motivation for a learning progression for scientific modeling that aims to make the practice accessible and meaningful for learners. We define scientific modeling as including the elements of the practice (constructing, using, evaluating, and revising scientific models) and the metaknowledge that guides and motivates the practice (e.g., understanding the nature and purpose of models). Our learning progression for scientific modeling includes two dimensions that combine metaknowledge and elements of practice scientfic models as tools for predicting and explaining, and models change as understanding improves. We describe levels of progress along these two dimensions of our progression and illustrate them with classroom examples from 5 ^th and 6 ^th graders engaged in modeling. Our illustrations indicate that both groups of learners productively engaged in constructing and revising increasingly accurate models that included powerful explanatory mechanisms, and applied these models to make predictions for closely related phenomena. Furthermore, we show how students engaged in modeling practices move along levels of this progression. In particular, students moved from illustrative to explanatory models, and developed increasingly sophisticated views of the explanatory nature of models, shifting from models as correct or incorrect to models as encompassing explanations for multiple aspects of a target phenomenon. They also developed more nuanced reasons to revise models. Finally, we present challenges for learners in modeling practices such as understanding how constructing a model can aid their own sensemaking, and seeing model building as a way to generate new knowledge rather than represent what they have already learned.

Weizman et al describe the purpose and process of the Driving Question Board (DQB), an instructional tool designed to support inquiry and project-based learning by organizing and focusing students' questions and linking them to content learning goals. They have used this tool in both physics and chemistry classes, but it can be used with any subject matter.