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Using personal robots in CS1: experiences, outcomes, and attitudinal influences

Authors:

Stefanie A. Markham,

K. N. KingAuthors Info & Claims

ITiCSE '10: Proceedings of the fifteenth annual conference on Innovation and technology in computer science education

Pages 204 - 208

https://doi.org/10.1145/1822090.1822148

Published: 26 June 2010 Publication History

Abstract

We employed a context-based teaching strategy using personal robots in an introductory computer science course. The purpose of this paper is twofold. First we describe our experiences using the IPRE (Institute for Personal Robots in Education) program to teach CS1. We then present our results from an initial study of its effectiveness. We compare the same course taught with and without the use of robots. We found that students in the robot section spent extra time on class-related work that was not required. This work was self-directed and demonstrates increased intrinsic motivation and interest.

References

[1]

Balch, T., Summet, J., Blank, D., Kumar, D., Guzdial, M., O'Hara, K., Walker, D., Sweat, M., Gupta, C., Tansley, S., Jackson, J., Gupta, M., Muhammad, M., Prashad, S., Eilbert, N., and Gavin, A. 2008. Designing personal robots for education: hardware, software, and curriculum. Pervasive Computing, IEEE, April-June 2008, 7, 5--9.

Digital Library

[2]

Bergin, S., Reilly, R., and Traynor, D. 2005. Examining the role of self-regulated learning on introductory programming performance, In Proceedings of the International Workshop on Computing Education Research (ICER '05), Seattle, Washington, October 2005, 81--86.

Digital Library

[3]

Blank, D. 2006. Robots make computer science personal, Communications of the ACM, December 2006, 49, 131--141.

Digital Library

[4]

Cooper S., Dann W., and Pausch R. 2003. Teaching objects-first in introductory computer science. In proceedings of the 34th ACM Technical Symposium on Computer Science Education, (SIGCSE '03), Reno, Nevada, February 2003, 191--195.

Digital Library

[5]

Guzdial, M. 2006. Introduction to Computing and Programming in Python, A Multimedia Approach, Prentice Hall.

Digital Library

[6]

Institute for Personal Robots in Education, IPRE website, http://wiki.roboteducation.org

[7]

Kumar, D. 2008. Learning Computing with Robots, Institute for Personal Robots in Education.

[8]

Lauwers, T., Nourbakhsh, I., and Hamner, E. 2009. CSbots: design and deployment of a robot designed for the CS1 classroom, In proceedings of the 40th ACM Technical Symposium on Computer Science Education, (SIGCSE '09), Chattanooga, TN, March 2009, 428--432.

Digital Library

[9]

Markham, S. and Belkasim, S., 2009. Mel-frequency cepstral coefficients, who pitched that jargon and why. In proceedings of the 2009 International Conference on Scientific Computing (CSC '09), Las Vegas, July 2009, 65--68.

[10]

Markham, S. and Olsen, T. 2008. Understanding the effectiveness of problem-based learning through the lens of boundary objects. In proceedings of the 2008 International Conference on Frontiers in Education: Computer Science and Engineering, (FECS '08), Las Vegas, July 2008.

[11]

McWhorter, W. and O'Connor, B. 2009. Do LEGO mindstorms motivate students in CS1? In proceedings of the 40th ACM Technical Symposium on Computer Science Education (SIGCSE '09), Chattanooga, TN, March 2009, 438--442.

Digital Library

[12]

Miller, B. and Ranum, D. 2009. Python Programming in Context, Jones and Bartlett, 2009.

Digital Library

[13]

O'Kelly, J. and Gibson, J. P. 2006. RoboCode & problem-based learning: a non-prescriptive approach to teaching programming, In proceedings of the 11th annual ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE '06), Bologna, Italy, June 2006, 217--221.

Digital Library

[14]

Patterson, D. A. 2006. Computer Science Education in the 21st Century, Communications of the ACM, March 2006, 49.

Digital Library

[15]

Patterson, D. A. 2005. Restoring the Popularity of Computer Science, Communications of the ACM, Sept. 2005, 48(9).

Digital Library

[16]

Pintrich, P. and De Groot, E. 1990. Motivational and self-regulated learning components of classroom academic performance, Journal of Educational Psychology, 82, 33--40.

[17]

Summet, J., Kumar, D., O'Hara, K., Walker D., Ni, L., Blank, D., and Balch T., 2009. Personalizing CS1 with robots, In proceedings of the 40th ACM Technical Symposium on Computer Science Education (SIGCSE '09), Chattanooga, TN, March 2009, 433--437.

Digital Library

[18]

Vesgo, J. 2008. Enrollments and degree production at US CS departments drop further in 2006-07, Computing Research News, March 2008, 20, 47--51.

Cited By

Pesonen HHellas A(2022)Weekly Fluctuations in Motivation in Introductory ProgrammingProceedings of the 2022 Conference on United Kingdom & Ireland Computing Education Research10.1145/3555009.3555012(1-7)Online publication date: 1-Sep-2022
https://dl.acm.org/doi/10.1145/3555009.3555012
Kentros SWadhwa MSreeramareddy LKaur KEbenfield MShwedel A(2019)Course redesign to improve retentionJournal of Computing Sciences in Colleges10.5555/3344051.334405934:6(97-106)Online publication date: 1-Apr-2019
https://dl.acm.org/doi/10.5555/3344051.3344059
Friebroon Yesharim MBen-Ari M(2018)Teaching Computer Science Concepts Through Robotics to Elementary School ChildrenInternational Journal of Computer Science Education in Schools10.21585/ijcses.v2i3.302:3Online publication date: 22-Aug-2018
https://doi.org/10.21585/ijcses.v2i3.30
Show More Cited By

Index Terms

Using personal robots in CS1: experiences, outcomes, and attitudinal influences
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computer science education

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Published In

cover image ACM Conferences

ITiCSE '10: Proceedings of the fifteenth annual conference on Innovation and technology in computer science education

June 2010

344 pages

ISBN:9781605588209

DOI:10.1145/1822090

General Chairs:
Reyyan Ayfer
Bilkent University, Turkey
,
John Impagliazzo
Qatar University, Qatar
,
Program Chair:
Cary Laxer
Rose-Hulman Institute of Technology, USA

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGCSE: ACM Special Interest Group on Computer Science Education

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Bilkent University: Bilkent University

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 June 2010

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ITiCSE '10

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SIGCSE

ITiCSE '10: Annual Conference on Innovation and Technology in Computer Science Education

June 26 - 30, 2010

Ankara, Bilkent, Turkey

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Overall Acceptance Rate 552 of 1,613 submissions, 34%

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Cited By

Pesonen HHellas A(2022)Weekly Fluctuations in Motivation in Introductory ProgrammingProceedings of the 2022 Conference on United Kingdom & Ireland Computing Education Research10.1145/3555009.3555012(1-7)Online publication date: 1-Sep-2022
https://dl.acm.org/doi/10.1145/3555009.3555012
Kentros SWadhwa MSreeramareddy LKaur KEbenfield MShwedel A(2019)Course redesign to improve retentionJournal of Computing Sciences in Colleges10.5555/3344051.334405934:6(97-106)Online publication date: 1-Apr-2019
https://dl.acm.org/doi/10.5555/3344051.3344059
Friebroon Yesharim MBen-Ari M(2018)Teaching Computer Science Concepts Through Robotics to Elementary School ChildrenInternational Journal of Computer Science Education in Schools10.21585/ijcses.v2i3.302:3Online publication date: 22-Aug-2018
https://doi.org/10.21585/ijcses.v2i3.30
Luxton-Reilly ASimon Albluwi IBecker BGiannakos MKumar AOtt LPaterson JScott MSheard JSzabo CRößling GScharlau B(2018)Introductory programming: a systematic literature reviewProceedings Companion of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education10.1145/3293881.3295779(55-106)Online publication date: 2-Jul-2018
https://dl.acm.org/doi/10.1145/3293881.3295779
Butler ZBezáková IFluet KPolycarpou IRead JAndreou PArmoni M(2018)Analyzing rich qualitative data to study pencil-puzzle-based assignments in CS1 and CS2Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education10.1145/3197091.3197109(212-217)Online publication date: 2-Jul-2018
https://dl.acm.org/doi/10.1145/3197091.3197109
Szabo CFalkner NKnutas ADorodchi MSheard JKorhonen A(2018)Understanding the Effects of Lecturer Intervention on Computer Science Student BehaviourProceedings of the 2017 ITiCSE Conference on Working Group Reports10.1145/3174781.3174787(105-124)Online publication date: 30-Jan-2018
https://dl.acm.org/doi/10.1145/3174781.3174787
Scaico PScaico Ade Queiroz R(2018)An Initial Analysis of the Research on Interest and Introductory Programming : A Systematic Review of this Literature2018 IEEE Frontiers in Education Conference (FIE)10.1109/FIE.2018.8659254(1-9)Online publication date: Oct-2018
https://doi.org/10.1109/FIE.2018.8659254
Maxwell BTaylor SCaspersen MEdwards SBarnes TGarcia D(2017)Comparing Outcomes Across Different Contexts in CS1Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education10.1145/3017680.3017757(399-403)Online publication date: 8-Mar-2017
https://dl.acm.org/doi/10.1145/3017680.3017757
Scatalon LBarbosa EGarcia R(2017)Challenges to integrate software testing into introductory programming courses2017 IEEE Frontiers in Education Conference (FIE)10.1109/FIE.2017.8190557(1-9)Online publication date: Oct-2017
https://doi.org/10.1109/FIE.2017.8190557
Aguar KArabnia HGutierrez JPotter WTaha T(2016)Making CS Inclusive: An Overview of Efforts to Expand and Diversify CS Education2016 International Conference on Computational Science and Computational Intelligence (CSCI)10.1109/CSCI.2016.0067(321-326)Online publication date: Dec-2016
https://doi.org/10.1109/CSCI.2016.0067
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