
Robots are becoming popular in Computer Science outreach to K-12 students. Easy-to-program toy robots already exist as commercial educational products. These toys take advantage of the increased interest and engagement resulting from the ability to write code that makes a robot physically move. However, toy robots do not demonstrate the potential of robots to carry out useful everyday tasks. On the other hand, functional robots are often difficult to program even for professional software developers or roboticists. In this work, we apply end-user programming tools for functional robots to the Computer Science outreach context. This experience report describes two offerings of a week-long introductory workshop in which students with various disabilities learned to program a Clearpath Turtlebot, capable of delivering items, interacting with people via touchscreen, and autonomously navigating its environment. We found that the robot and the end-user programming tool that we developed in previous work were successful in provoking interest in Computer Science among both groups of students and in establishing confidence among students that programming is both accessible and interesting. We present key observations from the workshops, lessons learned, and suggestions for readers interested in employing a similar approach.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 16 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
