In this paper, we trace the development of our theorizing about students' mathematical understanding, showing how the adoption of an enactivist perspective has transformed our gaze in terms of the objects of our studies and occasioned for us new methods of data analysis. Drawing on elements of Pirie-Kieren (P-K) Theory for the Dynamical Growth of…

The concept of "implementation fidelity" is broadly used to capture the extent to which an intervention is executed as intended by the designers of the intervention (Century, Rudnick, & Freeman, 2010; Huntley, 2005, McNaught, Tarr, & Sears, 2010, Munter, 2010). Though implementation fidelity instruments are often used to assess…

This mixed methods study with an Explanatory Design is an exploration of students' language learning motivation as it relates to their attrition from a language immersion program. A total of 131 students who had graduated from five public elementary immersion schools responded to surveys, and 33 of those students were interviewed. Data analysis…

The rapid growth of research on Teaching Games for Understanding (TGfU) over the past decade has paid little attention to research methodology. This paper redresses this lack of attention to research methods and reports on a study conducted on children's personal experiences of Game Sense. The study focuses on the use of year six students'…

With the growing emphasis on the development of scientific inquiry skills, there is a strong need for more research on students' ability to collect and interpret evidence. This paper calls attention to the notion of evidentiary competence that refers to the concepts and reasoning skills involved in the collection, organization, and interpretation…

The importance of research in professional and personal development is increasingly being acknowledged. So why should children not benefit in a similar way? Traditionally, children have been excluded from this learning process because research methodology is considered too difficult for them. Principal obstacles focus around three key barriers:…

Hierarchical linear modeling (HIM) is an approach used in data analysis to better understand how program outcomes are affected by the "nested" nature of data collected in many studies. An outcome can be considered variables such as an individual's self-efficacy, social skills, or more targeted outcomes such as demonstrated reading and mathematical…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…