Visualizations are useful tools for helping students to understand chemistry concepts at the particulate level. A classroom activity was developed based on learning theory and evidence-based practices, combining protein visualization with thermodynamic parameters from differential scanning fluorimetry (DSF) data analysis. Coding of student…

Visualizations and visual models are of substantial importance for science learning (Harrison and Treagust, 2000), and it seems impossible to study chemistry without visualizations. More specifically, the combination of visualizations with text is especially beneficial for learning when dual coding is fostered (Mayer, 2014). However, at the same…

The research assessed secondary school students' conceptions of acid-base strengths by using the conceptual change instruction accompanied with concept maps and analogies. These teaching strategies were employed to help them make unfamiliar events familiar. Within a quasi-experimental design, the sample of the study consisted of 73 secondary…

Middle school students struggle to explain thermodynamics concepts. In this study, to help students succeed, we use a natural language processing program to analyze their essays explaining the aspects of thermodynamics and provide guidance based on the automated score. The 346 sixth-grade students were assigned to either the critique condition…

Students are frequently presented with novel visualizations introducing scientific concepts and processes normally unobservable to the naked eye. Despite being unfamiliar, students are expected to understand and employ the visualizations to solve problems. Domain experts exhibit more competency than novices when using complex visualizations, but…

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…