Programming instructors often conduct in-class exercises to help them identify students that
are falling behind and surface students' misconceptions. However, as we found in interviews …

Nolan and Temple Lang's Computing in the Statistics Curricula (2010) advocated for a shift
in statistical education to broadly include computing. In the time since, individuals with …

Computational thinking (CT) skills are becoming increasingly relevant for future
professionals across all domains, beyond computer science (CS). As such, an increasing …

While giving learners hints is a commonly used scaffolding practice to facilitate learning,
previous work questioned the effectiveness of hints. In this study, we examined if prompting …

Jupyter notebooks provide an interactive programming environment that allows writing code,
text, equations, and multimedia resources. They are widely used as a teaching support tool …

One of the biggest hurdles of teaching data science and programming techniques to
beginners is simply getting started with the technology. With multiple versions of the same …

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 …

With the growing desire to incorporate data science and informatics into STEM curricula,
there is an opportunity to integrate research-based software and tools (eg, Python) within …

The eChem project features an e-book published as a web page (10.30746/978-91-988114-
0-7), collecting a repository of Jupyter notebooks developed for the dual purpose of …

Data Science (DS) has emerged as a new academic discipline where students are
introduced to data-centric thinking and generating data-driven insights through …