We describe an elective course on soft matter at the level of introductory physics. Soft matter physics serves as a context that motivates the presentation of basic ideas in statistical thermodynamics and their applications. It also is an example of a contemporary field that is interdisciplinary and touches on chemistry, biology, and physics. We outline a curriculum that uses the lattice gas model as a quantitative and visual tool, initially to introduce entropy, and later to facilitate the calculation of interactions. We demonstrate how free energy minimization can be used to teach students to understand the properties of soft matter systems such as the phases of fluid mixtures, wetting of interfaces, self-assembly of surfactants, and polymers. We discuss several suggested activities in the form of inquiry projects which allow students to apply the concepts they have learned to experimental systems.
We analyze the development in students' understanding of fundamental principles in the context of learning a current interdisciplinary research topic-soft matter-that was adapted to the level of high school students. The topic was introduced in a program for interested 11th grade high school students majoring in chemistry and/or physics, in an off-school setting. Soft matter was presented in a gradual increase in the degree of complexity of the phenomena as well as in the level of the quantitative analysis. We describe the evolution in students' use of fundamental thermodynamics principles to reason about phase separation-a phenomenon that is ubiquitous in soft matter. In particular, we examine the impact of the use of free energy analysis, a common approach in soft matter, on the understanding of the fundamental principles of thermodynamics. The study used diagnostic questions and classroom observations to gauge the student's learning. In order to gain insight on the aspects that shape the understanding of the basic principles, we focus on the responses and explanations of two case-study students who represent two trends of evolution in conceptual understanding in the group. We analyze changes in the two case studies' management of conceptual resources used in their analysis of phase separation, and suggest how their prior knowledge and epistemological framing (a combination of their personal tendencies and their prior exposure to different learning styles) affect their conceptual evolution. Finally, we propose strategies to improve the instruction of these concepts.
Recent technological advances have allowed for the use of computerized and online systems to achieve personalized student-centered learning and teaching in the classroom. One such prominent example is the PeTeL system (Personalized Teaching and Learning), developed by the Science Teaching Department of the Weizmann Institute of Science. In the present article, we describe the initial stages of the system's first implementation in chemistry classes, and show how it facilitates the hybridization of learning by combining online materials and offline activities. The research focuses on different hybridization models applied by chemistry teachers in their teaching, which demonstrate the efficacy of the PeTeL system in hybrid learning. Four case studies of a teaching unit dealing with melting points are discussed, and the considerations of two chemistry teachers using the system who adjust their teaching sequence to the personalized needs of their students in four different classes are presented. The results underscore the importance of providing teachers with the capacity and tools to personalize their teaching paths in a way that better supports hybrid teaching matching their pedagogical considerations. A new approach to the construct of hybrid teaching is proposed, considering it as a set of axes instead of one continuum.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.