In this paper, we demonstrate how machine learning could be used to quickly assess a student's multimodal representational thinking. Multimodal representational thinking is the complex construct that encodes how students form conceptual, perceptual, graphical, or mathematical symbols in their mind. The augmented reality (AR) technology is adopted…

The central goal of this study was to examine the extent to which a teaching approach focused on the interaction between macroscopic, submicroscopic, and symbolic levels of chemistry representations could affect high school students' performance in the field of inorganic reactions, as well as to examine how the applied instruction influences…

While different approaches to evaluation will yield different results, depending on the purpose of the evaluation this article describes an evaluation approach that was aimed at investigation of the mental models of users of the programme. The study was driven by questions about the differences in mental models of the instructional designers and…

This study investigates how 25 junior high school students employed their bodies of knowledge and responded to problem cues while individually performing a science experiment and reasoning about a drops phenomenon. Line-by-line content analysis conducted on students' written ad hoc explanations aimed to reveal students' concepts and their…

Research has established that students enter their science classes with ideas about the natural world that do not align with accepted scientific beliefs. The diagnosis of these student preconceptions may be seen as an initial, crucial step in the process of teacher-facilitated conceptual change. So as to capture what science teachers do in their…