This article reviews Education for Sustainability (EfS) in the secondary sector across a range of countries. Drawing on journal articles, book chapters and official reports, it identifies some of the more successful approaches to implementing EfS within the secondary sector. The authors first discuss the importance of educating for sustainability at the secondary level and then explore barriers to effective EfS in secondary schools. They go on to share their insights into contextual factors that influence EfS practices which are reported in the case studies. In particular, they discuss the influence of (a) politics and curriculum renewal, (b) alignment of curriculum, resources and teaching, (c) the perceived state of EfS and (d) teachers’ professional development as determinants of EfS implementation and success.

No abstract

No abstract

This chapter looks at an in-depth application of meaning equivalence reusable learning objects (MERLO) to mathematics education and teacher professional development. The study has been conducted during professional development courses for in-service teachers and is focused on mathematics teachers' praxeologies, namely their didactical techniques and theoretical aspects embraced to accomplish a task. Specifically, the task given to the teachers consists in designing MERLO items to be used in their classrooms, working in groups or individually, after having been trained by researchers in mathematical education. The chapter presents two case studies with data, one dealing with secondary school teachers in Italy and one concerning primary teachers in Australia. One of the main aims of the study is the analysis of the praxeologies of these teachers when they are engaged in designing MERLO items during professional development programs. The chapter demonstrates, with these examples, the generalizability potential of MERLO items and that they can be used in different cultural and institutional ecosystems.

No abstract

Meaning Equivalence Reusable Learning Objects (MERLO) items are a new kind of didactical tool that can be designed by teachers and used in classes, in tasks aimed at engaging students in deep reasoning, exploring and arguing about mathematical concepts. The interactions across communities of mathematics teachers and educators in on-line professional development were studied with attention to the phenomenon of boundary crossing of MERLO items, viewed as boundary objects in this article. The study analyseda first (international) crossing of the object that passedinstitutional boundaries (between Australian and Italian school systems), and a second crossing of the same object –inside the Australian institutional community – that passed boundaries (from static to dynamic representations) that we interpret in terms of method both for teachers and for researchers. This passage is possible due to the use of dynamic geometry software (GeoGebra) that supported a modification in the design of the item. The analysis shows boundary crossing as a process of transformation that can influence a modification (more or less stable) in the practices of the teachers involved and provides a deep research insight in relation to existing theoretical frameworks.

This article investigates how 14-to 16-year-old students interpret representations of multivariate data generated by data visualisation tools and how they then seek to construct their own meaningful data visualizations that highlight emerging important aspects of data. Students were asked a single question-about where they would like to live-that involved reasoning about a complex data set with many different variables that they were able to explore using a dynamic visualization tool that allowed them to easily generate multiple visualizations of the relevant data set. Findings show the diverse inferences that students articulated to reason about covariation between multiple variables while using the cycle of inquiry and visual analysis. Students revisited their specific kinds of inferences while using complex data visualisation tools, inventing and revising their visual representations of data. Once they obtained some necessary insight, they readily made an informed decision.

No abstract