Cover Feature Advances in Learning Technologies

concepts, focus on nonpractical entertainment, or rely on decontextualized settings. BlockPy, a webbased, open access Python programming environment, supports introductory programmers in a data-science context through a dual block/text programming view. A s computing becomes pervasive across all fields, professionals increasingly need to learn computing skills in addition to their core domain knowledge. Generaleducation computing curricula at the collegiate level (for example, courses in computational thinking) are scaling, massive open online courses are flourishing, and many professionals and students are pursuing informal learning experiences on their own. However, many learners often have little experience with computing and are uncertain as to how computing benefits their long-term career goals. Not only do learners need special scaffolding unique to their abilities and motivational levels, but they also need fewer barriers to accessing these materials. We propose a new tool to better serve this population: BlockPy, an open access, web-based Python environment for data science that supports introductory learners with guided instruction and an accessible interface (www.blockpy.com). Modern approaches to contextualizing introductory courses have focused on making the experience fun and interesting, with an emphasis on game design and media computation. However, student motivation is a complex BlockPy: An Open Access Data-Science Environment