It is widely recognized that we need to prepare students to think with data. This study investigates student interactions with digital data graphs and seeks to identify what might prompt them to shift toward using their graphs as thinking tools in the authentic activity of doing science. Drawing from video screencast data of three small groups…

Constructing causal mechanistic explanations of observable phenomena is a key science practice that is often challenging for students as most mechanisms involve interactions of unobservable entities and activities. In this study, we examined how gesturing with a computer simulation that depicts the molecular mechanism of thermal conduction…

Researchers have found that computer modeling fosters the learning of causal mechanisms in systems, an important crosscutting concept in science that many novice learners find challenging. Despite the research that highlights the role of teacher's instructional practices in enacting computer tools, few studies have considered teachers' use of…

Embodied cognition theories view sensorimotor activity as fundamental to learning, knowing, and reasoning. To investigate the role of physical movement in conceptual learning, we developed and explored an Embodied Learning Interactive Chemistry environment (ELI-Chem). The ELI-Chem learning environment includes a computer simulation, a device for…

Research exploring students' learning from physical and virtual labs has suggested that on the whole, students learn science content just as well, if not better from virtual labs as they do from physical labs. However, the affordances of physical labs might support the learning of specific skills and competencies that are just as crucial for…

It is a widely held view that students' epistemic beliefs influence the way they think and learn in a given context, however, in the science learning context, the relationship between sophisticated epistemic beliefs and success in scientific practice is sometimes ambiguous. Taking this inconsistency as a point of departure, we examined the…

Abstract The 2015 Programme for International Student Assessment (PISA) has drawn a substantial amount of attention from science educators and educational policymakers because it marked the first time that PISA assessed students' ability to evaluate and design scientific inquiry using computer-based simulations. We undertook a secondary analysis…

Creating executable computer models is a potentially powerful approach to science learning. Learning by modelling is also challenging because students can easily get overwhelmed by the inherent complexities of the task. This study investigated whether offering partially worked-out models can facilitate students' modelling practices and promote…