A robot laboratory for teaching artificial intelligence
SIGCSE '98 Proceedings of the twenty-ninth SIGCSE technical symposium on Computer science education
Using autonomous robotics to teach science and engineering
Communications of the ACM
Fifteen ways of looking at minimalism
ACM SIGDOC Asterisk Journal of Computer Documentation
Using Ada-based robotics to teach computer science
Proceedings of the 5th annual SIGCSE/SIGCUE ITiCSEconference on Innovation and technology in computer science education
Teaching design and project management with lego RCX robots
Proceedings of the thirty-second SIGCSE technical symposium on Computer Science Education
Teaching computer science with robotics using Ada/Mindstorms 2.0
Proceedings of the 2001 annual ACM SIGAda international conference on Ada
SIGCSE '02 Proceedings of the 33rd SIGCSE technical symposium on Computer science education
Measuring the effectiveness of robots in teaching computer science
SIGCSE '03 Proceedings of the 34th SIGCSE technical symposium on Computer science education
Teaching neural networks using LEGO handy board robots in an artificial intelligence course
SIGCSE '03 Proceedings of the 34th SIGCSE technical symposium on Computer science education
Teaching problem solving, computing, and information technology with robots
Journal of Computing Sciences in Colleges
A road map for teaching introductory programming using LEGO© mindstorms robots
Working group reports from ITiCSE on Innovation and technology in computer science education
Quantitative analysis of the effects of robots on introductory Computer Science education
Journal on Educational Resources in Computing (JERIC)
Efficient use of robots in the undergraduate curriculum
Proceedings of the 36th SIGCSE technical symposium on Computer science education
Three years of using robots in an artificial intelligence course: lessons learned
Journal on Educational Resources in Computing (JERIC) - Special issue on robotics in undergraduate education. Part 2
An intelligent agent approach for teaching neural networks using LEGO® handy board robots
Journal on Educational Resources in Computing (JERIC) - Special issue on robotics in undergraduate education. Part 2
Three fun assignments for an Artificial Intelligence class
Journal of Computing Sciences in Colleges
Journal of Computing Sciences in Colleges
Evaluating assessments of novice programming environments
Proceedings of the first international workshop on Computing education research
Teaching students java bytecode using lego mindstorms robots
Proceedings of the 38th SIGCSE technical symposium on Computer science education
Mindstorms without robotics: an alternative to simulations in systems courses
Proceedings of the 38th SIGCSE technical symposium on Computer science education
Using robots in an undergraduate artificial intelligence course: an experience report
FIE '01 Proceedings of the Frontiers in Education Conference, 2001. 31st Annual - Volume 02
Creativity and intrinsic motivation in computer science education: experimenting with robots
Proceedings of the fifteenth annual conference on Innovation and technology in computer science education
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To help students understand subjects such as theoretical aspects of computation, algorithmic reasoning and intelligence of machines, a number of publications report experiments to teach these topics with the help of Lego Mindstorms robots. In the publications, the researchers report how they have created various ways to approach the issues either in Computer Science or in Artificial Intelligence. The reported results of the experiments are based on the learning outcomes, the feedback from the students, and the perceived informal observations (i.e. "feelings") of the instructors. But can anyone else benefit from the reportedly positive outcomes of the experiments? To give an answer to that question, this paper analyses the reported results through two support theories. The two theories chosen for this, andragogy and minimalism, are concerned with adult learning and how teaching adults should be approached. When reflecting the results of the four teaching experiments to the suggestions drawn from the theories, a more comprehensive answer to why the experiments have been successful can be given. The four teaching experiments analysed here were in many ways similar to each other. A connection to the chosen support theories was straightforward to make. Besides describing the artefacts of teaching with the robots, a deeper discussion on this teaching approach is provided. For an instructor, all these observations offer more concrete evidence about beneficial factors of teaching with robots.