This paper presents a methodological approach based on the use of complex networks to analyze the structure and content of curricula. We analyze the concept network built from the final year of a particular high school physics curriculum, as well as that of mathematics. We examine the most central nodes in each case, the community structures…

Learning analytics, referring to the measurement, collection, analysis, and reporting of data about learners and their contexts in order to optimize learning and the environments in which it occurs, is proving to be a powerful approach for understanding and improving science learning. However, few studies focused on leveraging learning analytics…

Even though the concept of species is central in biology, the history of species concept and the existence of different species concepts are rarely discussed in biology classroom. This is unfortunate, as teachers could use the plurality of species concepts to enrich discussion in the classroom. Therefore, knowing the students' perception of…

Modern science standards emphasize knowledge-in-use, i.e., connecting scientific practices with content. For knowledge to become usable in knowledge-in-use performances, students need well organized knowledge networks that allow them to activate and connect sets of relevant ideas across contexts, i.e. students need integrated knowledge. We…

Conceptual knowledge is a crucial tool for students to understand scientific phenomena. Knowledge about the structure and function of mental concepts potentially helps science educators to foster the acquisition of this tool. Specifically, the coherence of students' mental concepts is an intensely discussed issue within the related conceptual…