This short paper presents an educational approach to teaching three popular methods for encoding DNA sequences: one-hot encoding, binary encoding, and integer encoding. Aimed at bioinformatics and computational biology students, our learning intervention focuses on developing practical skills in implementing these essential techniques for…

Scientific computing and computer literacy are increasingly important skills for chemistry students to learn, but despite this need, there is an absence of chemistry-specific texts available for teaching the subject. This article introduces a freely available textbook released under a Creative Commons license for use in an undergraduate scientific…

Next-generation sequencing (NGS)-based methods are revolutionizing biology. Their prevalence requires biologists to be increasingly knowledgeable about computational methods to manage the enormous scale of data. As such, early introduction to NGS analysis and conceptual connection to wet-lab experiments is crucial for training young scientists.…

As collaborative learning is actualized through evolving dialogues, temporality inevitably matters for the analysis of collaborative learning. This study attempts to uncover sequential patterns that distinguish "productive" threads of knowledge-building discourse. A database of Grade 1-6 knowledge-building discourse was first coded for…

Science education today has become increasingly focused on research into complex natural, social and technological systems. In this study, we examined the development of high-school biology students' systems understanding of the human body, in a three-year longitudinal study. The development of the students' system understanding was evaluated…

Data-driven inquiry (DDI) is the process by which teachers design and implement classroom assessments and use student results to inform/adjust teaching. Although much has been written about DDI, few details exist about how teachers conduct this process on a day-to-day basis in any specific subject area, let alone chemistry. Nineteen high school…

Teachers can reflect on and analyze their classroom discourse to inform their instructional practice. When teachers try to do so however, they often face analytic difficulties, which include the data set (e.g., data input, data transformation, and utterances by unknown speakers), coding (e.g., coding complexity, reliability, and efficiency),…

This is an interpretive case study to examine the teaching of an experienced science faculty who had a strong interest in teaching undergraduate and graduate science courses and nature of science specifically. It was interested in how he transformed knowledge from his experience as a scientist and his ideas about nature of science into forms…

High school dropout, enrollment, and graduation rates are important indicators of students' college and career readiness, which in turn significantly impact both individual income levels and the overall knowledge-driven economy. Despite the long-term benefits of a high school education, much of the current literature on raising school…

What distinguishes high schools that "beat the odds" for students from traditionally lower-performing groups from schools that struggle to improve the achievement and graduation rates of these student populations? What types of programs, practices, and processes support better than expected outcomes for students at risk of failure? How…

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…