Skip to main content
SpringerLink
Log in

Robot-Based Smart Educational Environments to Teach CS: A Case Study

  • Chapter
Smart Learning Objects for Smart Education in Computer Science

Abstract

First, the term ‘smart educational environment’ should be defined. There are standard educational environments that are based on using the Internet-based technology along with some e-learning-oriented systems such as Moodle. In the widest sense, the word ‘environment’ should be understood as the overall technological support (hardware, software and networking with remote terminals) and the infrastructure of the methodological support, including databases or digital libraries with the teaching content, management facilities and teaching instructions (for teachers and students) to support e-learning. The base actors (teachers and students), maintenance facilities and personnel might be also treated as components of the environment. In the narrow sense, by the educational environment, we mean the facilities for functioning e-learning processes to achieving teaching goals within the teaching organization. Using the m-learning paradigm, for example, on the smartphones basis, perhaps, one can treat as being the smart environment too.

In the case of citing, this chapter should be referenced as follows: Vytautas Štuikys and Renata Burbaitė. Smart Educational Environments to Teach Topics in CS: A Case Study. In Smart Learning Objects for the Smart Education in CS (Theory, Methodology and Robot-Based Implementation), Springer, 2015.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Allen MJ (2004) Assessing academic programs. Anker Publishing, Boston

    Google Scholar 

  2. Barker BS, Ansorge J (2007) Robotics as means to increase achievement scores in an informal learning environment. J Res Technol Educ 39(3):229–243

    Article  Google Scholar 

  3. Beer RD, Chiel HJ, Drushel RF (1999) Using autonomous robotics to teach science and engineering. Commun ACM 42(6):85–92

    Article  Google Scholar 

  4. Benitti FBV (2012) Exploring the educational potential of robotics in schools: a systematic review. Comput Educ 58(3):978–988

    Article  Google Scholar 

  5. Balatsoukas P, Morris A, O’Brien A (2008) Learning objects update: review and critical approach to content aggregation. Educ Technol Soc 11(2):119–130

    Google Scholar 

  6. Brittain N (2011) IT education remains mired in uncertainty. Computing. 20 Sep 2011

    Google Scholar 

  7. Burbaite R, Stuikys V, Damasevicius R (2013) Educational robots as collaborative learning objects for teaching computer science. In: System Science and Engineering (ICSSE), 2013 international conference IEEE, pp 211–216

    Google Scholar 

  8. Burbaite R, Stuikys V, Marcinkevicius R (2012) The LEGO NXT robot-based e-learning environment to teach computer science topics. Elektronika ir Elektrotechnika 18(9):113–116

    Article  Google Scholar 

  9. Burbaitė R (2014) Advanced generative learning objects in informatics education: the concept, models, and implementation. Summary of doctoral dissertation, physical sciences, informatics (09P), Kaunas University of Technology, Kaunas

    Google Scholar 

  10. Campos AM, Alvarez-Gonzalez LA, Livingstone DE (2012) Analyzing effectiveness of pedagogical scenarios for learning programming a learning path data model. In: Mierluş-Mazilu I (ed) Proceedings of the 1st international workshop on open technology transfer and learning solutions for programming education. Conspress, Bucureşti

    Google Scholar 

  11. Chown E, Foil GT, Work H, Zhuang Y (2006) AiboConnect: a simple programming environment for robotics. In: FLAIRS conference, Melbourne Beach, FL, USA, pp 192–197

    Google Scholar 

  12. Chou LD, Liu TC, Li DC, Chen YS, Leong MT, Lee PH, Lin YC (2011) Development of a game-based learning system using toy robots. In: Advanced Learning Technologies (ICALT), 2011 11th IEEE international conference, Athens, Greece, pp 202–204

    Google Scholar 

  13. Frangou S, Papanikolaou KA (2009) On the development of robotic enhanced learning environments. In: Kinshuk DGS, Spector JM, Ifenthaler D (eds) Proceedings of the IADIS international conference on cognition and exploratory learning in digital age, Rome, Italy, pp 18–25

    Google Scholar 

  14. Gray JA (2001) Toeing the line: experiments with line-following algorithms. [Online]. Available: http://www.fll-freak.com/misc/01-jgray_report.pdf

  15. Hadjerrouit S (2009) Teaching and learning school informatics: a concept-based pedagogical approach. Inform Educ Int J 8(2):227–250

    Google Scholar 

  16. Hasker RW (2006) An introductory programming environment for LEGO® MindStorms™ robots. In: Proceedings of the 2006 ASCUE conference, Myrtle Beach, South Carolina

    Google Scholar 

  17. Huba ME, Freed JE (2000) Learner centered assessment on college campuses: shifting the focus from teaching to learning. Commun Coll J Res Pract 24(9):759–766

    Article  Google Scholar 

  18. Houser C, Thornton P, Kluge D (2002) Mobile learning: cell phones and PDAs for education. In: Computers in education, international conference, IEEE computer society, pp 1149–1149

    Google Scholar 

  19. IEEE (2000) IEEE learning standards committee, WG 12: learning object metadata [Online]. Available: http://ltsc.ieee.org/wg12

  20. International Federation of Robotics (IFR) (2012) World robotics 2012 industrial robots. Executive summary [Online]. Available: http://www.ifr.org/industrial-robots/statistics/

  21. Jones V, Jo JH (2004) Ubiquitous learning environment: an adaptive teaching system using ubiquitous technology. In: Beyond the comfort zone: proceedings of the 21st ASCILITE conference, Perth, Western Australia, p 474

    Google Scholar 

  22. Kurilovas E, Dagienė V (2009) Multiple criteria comparative evaluation of e-learning systems and components. Informatica 20(4):499–518

    Google Scholar 

  23. Klopfer E (2008) Augmented learning: research and design of mobile educational games. MIT Press, Cambridge, MA

    Book  Google Scholar 

  24. De Kock A, Sleegers P, Voeten MJ (2004) New learning and the classification of learning environments in secondary education. Rev Educ Res 74(2):141–170

    Article  Google Scholar 

  25. Kim S, Song SM, Yoon YI (2011) Smart learning services based on smart cloud computing. Sensors 11(8):7835–7850

    Article  Google Scholar 

  26. Liber O (2005) Learning objects: conditions for viability. J Comput Assist Learn 21(5):366–373

    Article  Google Scholar 

  27. Lombardozzi C (2008) Learning environment design. E-learning guild’s leading solutions e-magazine

    Google Scholar 

  28. Lau WW, Yuen AH (2011) Modelling programming performance: beyond the influence of learner characteristics. Comput Edu 57(1):1202–1213

    Article  Google Scholar 

  29. Mauch E (2001) Using technological innovation to improve the problem-solving skills of middle school students: educators’ experiences with the LEGO mindstorms robotic invention system. Clear House 74(4):211–213

    Article  Google Scholar 

  30. Portsmore M, Rogers C (2004) Bringing engineering to elementary school. J STEM Educ 5(3&4):17–28

    Google Scholar 

  31. Reid JA, Forrestal P, Cook J (1990) Small group learning in the classroom. Irwin, Heinemann

    Google Scholar 

  32. Schulte C (2002) Towards a pedagogical framework for teaching programming and object-oriented modelling in secondary education. In: Proceedings of SECIII 2002, Dortmund, Germany, pp 22–26

    Google Scholar 

  33. Schäfer A, Holz J, Leonhardt T, Schroeder U, Brauner P, Ziefle M (2013) From boring to scoring–a collaborative serious game for learning and practicing mathematical logic for computer science education. Comput Sci Educ 23(2):87–111

    Article  Google Scholar 

  34. Shukla M, Shukla AN (2012) Growth of robotics industry early in 21st century. Int J Comput Eng Res 2(5):1554–1558

    Google Scholar 

  35. Project SMART Celebrates 10 Years of Support from Entergy (2014) http://www.oswego.edu/magazine/2014/08/11/project-smart-celebrates-10-years-of-support-from-entergy/

  36. Santacruz-Valencia LP, Navarro A, Kloos CD, Aedo I (2008) ELO-tool: taking action in the challenge of assembling learning objects. Educ Technol Soc 11(1):102–117

    Google Scholar 

  37. Tanner P, Karas C, Schofield D (2014) Augmenting a child’s reality: using educational tablet technology. J Inf Technol Educ Innov Pract 13:45–54

    Google Scholar 

  38. Toledo S (2006) Analysis of the NXT bluetooth-communication protocol. Technical paper [Online]. Available: http://www.tau.ac.il/~ stoledo/lego/btperformance.html

  39. Wiley DA (2000) Learning object design and sequencing theory. Ph.D. dissertation, Brigham Young University

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Software Engineering, Kaunas University of Technology, Kaunas, Lithuania

    Vytautas Štuikys

Authors
  1. Vytautas Štuikys
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Štuikys, V. (2015). Robot-Based Smart Educational Environments to Teach CS: A Case Study. In: Smart Learning Objects for Smart Education in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-16913-2_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-16913-2_12

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16912-5

  • Online ISBN: 978-3-319-16913-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation