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Christopher P. Bartley

dblp:75/5779 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2015
0009-0009-4137-7545ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2Human-computer interaction and ubiquitous computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
2 papers
Computing education · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computing education
computational thinking
0.212013
A visual robot-programming environment for multidisciplinary education · ICRA 2013
Computing education › educational technology
educational robotics
0.212013
A visual robot-programming environment for multidisciplinary education · ICRA 2013
Computing education › robotics education
robot programming education
0.212013
A visual robot-programming environment for multidisciplinary education · ICRA 2013
Computing education
robotics education
0.112006
Mobile Robot Programming in Education · ICRA 2006

Methods — techniques the papers use, named apart from their topics

visual programming · 0.2reinforcement learning · 0.1hands-on laboratory · 0.1
YearPublicationVenuePosition
2015 Arts & Bots: Application and outcomes of a secondary school robotics program
abstract
Arts & Bots combines intrinsically creative craft materials, common robotics components, a custom programming environment and teacher professional development to create a flexible robotics intervention for secondary school classrooms. In order to engage students underserved by other robotics programs, Arts & Bots is oriented to support the creation of collaborative expression-focused robots, as opposed to more commonly implemented competitive task-focused robot activities. Specifically, Arts & Bots targets integration into traditional nontechnical classes, such as literature and history, to reach a broader base of students than would be enrolled in elective technology programs. This paper describes three classroom implementations, including a secondary school poetry project. By including Arts & Bots in these core courses, we expose diverse students to engineering education activities such as hands-on experiences with computer programming, prototyping, and the engineering design process. We present our outcomes grouped within two primary themes: first, in Technological Fluency, we present students' self-reporting of concepts learned, confidence with technology, and breaking of technology stereotypes; second, in Complementary Non-Technical Skills, we present other skills students learned by participating in the Arts & Bots program.
Jennifer L. Cross, Emily Hamner, Christopher P. Bartley, Illah R. Nourbakhsh
FIE3
2013 A visual robot-programming environment for multidisciplinary education
abstract
Arts & Bots is an educational program that aims to broaden diversity and participation in technology by integrating arts and crafts with robotics. Arts & Bots is a flexible program that can be integrated into in-school and out-of-school programs in many subject areas. This paper describes the visual programming environment developed for Arts & Bots and its goals of low barriers to entry, classroom compatibility, supporting student acquisition of computational thinking skills, and enabling complex robot behaviors. The authors also compare and contrast the programming environment with other popular visual programming environments, namely Scratch, Alice and LEGO NXT-G.
Jennifer L. Cross, Christopher P. Bartley, Emily Hamner, Illah R. Nourbakhsh
ICRA2
2006 Mobile Robot Programming in Education
abstract
The mobile robot programming laboratory course has been taught at Carnegie Mellon University for the past twelve years. It is a problem-driven class designed for students with little or no experience with robots. In this paper, we first present the current status of the class, and show how it improves the education and training of students in a robotics curriculum by giving them a hands-on experience with a real robot. We show that, in addition to core subjects such as perception, action and cognition, students also have the opportunity to learn advanced topics such as reinforcement learning and multi-robot coordination. We then discuss the evolution of the class under general categories: hardware and programming environment, team experiments, and assignments. We present important lessons learned in each category, and how they affect the learning experience of participating students. We conclude by discussing future opportunities
Jean-François Lalonde, Christopher P. Bartley, Illah R. Nourbakhsh
ICRA2