JTIE 2014, 6(1):30-44 | 10.5507/jtie.2014.003

DEVELOPING A LEARNING TAXONOMY FOR EDUCATIONAL ROBOTICS

Ivan KALAŠ, Karolína MAYEROVÁ, Michaela VESELOVSKÁ
Katedra základov a vyučovania informatiky, Fakulta matematiky, fyziky a informatiky UK, Mlynská dolina 842 48, Bratislava, SR

In our research, we study possible integration of educational robotics into Informatics education in our primary and lower secondary schools. For that, we need to precisely and systematically specify, which curriculum objectives we plan to meet and how we can identify the actual category of the cognitive attainment of our pupils. To do so, we decided to apply a modification of the Bloom / Anderson's taxonomy of the cognitive domain based on the work of Fuller [1]. This modification seems to work well in the subjects when the focus is put on creating products - and school Informatics with its educational programming and robotics is such instance. Fuller divided six categories of Bloom / Anderson into a matrix with two relatively independent dimensions of (a) comprehension and interpretation of the products, and (b) the ability to produce them. In this paper, we apply Fuller's approach to formulate our model of the learning objectives for educational robotics.

Keywords: educational robotics, curriculum, learning outcomes, assessment.

Published: April 1, 2014

Download citation

References

  1. FULLER, U. a kol. Developing a computer science-specific learning taxonomy. ACM SIGCSE Bulletin. 2007, Ročník 39, Číslo 4, s. 152-170. ISSN 0097-8418 (online). Go to original source...
  2. TUREK, I. Taxonómia cieľov - B. S. Bloom. Didaktika. 2010, Bratislava, Iura Edition, spol. s r. o., s. 52-54. ISBN 978-80-8078-322-8 (print).
  3. ANDERSON, L.W. a kol. A taxonomy for learning and teaching and assessing: A revision of Bloom's taxonomy of educational objectives. 2001, New Jersey, Pearson. ISBN 13: 978-0801319037 (print).
  4. KALAŠ, I. a kol. Konštrukcionizmus. Od Piageta po školu v digitálnom veku. Zborník konferencie Didinfo 2011. 2011, Banská Bystrica, Univerzita Mateja Bela, Fakulta prírodných vied v Banskej Bystrici, Ročník 17, s. 7. ISBN 978-80-557-0142-4 (on-line).
  5. KALAŠ, I. Pedagogický výskum v informatike a informatizácii (2. časť). Zborník konferencie DidInfo 2009. 2009, Banská Bystrica, Univerzita Mateja Bela, Fakulta prírodných vied v Banskej Bystrici, Ročník 15, s. 15-24. ISBN 978-808083-720-4 (print).
  6. ŠVAŘÍČEK, R., ŠEĎOVÁ K. a kol. Kvalitativní výzkum v pedagogických vedách. 2007, Praha, Portál, s. r. o. ISBN 978-80-7367-313-0 (print).
  7. MAYEROVÁ, K. Pilot Activities: LEGO WeDo at Primary School. Workshop Teaching Robotics Teaching with Robotics: Integrating Robotics in School Curriculum. 2012, Riva del Garda. ISBN 978-88-95872-05-6 (on-line).
  8. MAYEROVÁ, K., VESELOVSKÁ, M. Robotic kits and key competences in primary school. Information and Communication Technology in Education. 2012, Ostrava, University of Ostrava, Pedagogical Faculty, s. 175-183. ISBN 978-80-7464-135-0 (print).
  9. MAYEROVÁ, K., VESELOVSKÁ, M. Educational robotics in primary schol: unusual methods of evaluation. JTIE. 2013, Department of Technology and Information Education, Faculty of Education, Palacký University in Olomouc, s. 50-57. ISSN 1803-6805 (online).
  10. VESELOVSKÁ, M., MAYEROVÁ, K. Čo si žiaci predstavujú pod pojmom "robot"? Zborník konferencie DidInfo 2013. 2013, Banská Bystrica, Univerzita Mateja Bela, Fakulta prírodných vied v Banskej Bystrici, Ročník 19, s. 263-271. ISBN 978-80-5570527-9 (print).
  11. VESELOVSKÁ, M., MAYEROVÁ, K. Robotic kits in secondary school. JTIE. 2013, Department of Technology and Information Education, Faculty of Education, Palacký University in Olomouc, s. 96-101. ISSN 1803-6805 (online).
  12. JOHNSON, C. G., FULLER, U. D. Is Bloom's taxonomy appropriate for computer science? 6th Baltic Sea Conference on Computing Education Koli Calling 2006. 2007, Stockholm, Department of Information Technology, University of Uppsala, s. 120-123. ISSN 1404-3203 (on-line).
  13. LAHTINEN, E. A Categorization of Novice Programmers: A Cluster Analysis Study. Proceedings of the 19th annual Workshop of the Psychology of Programming Interest Group. 2007, Joensuu, University of Joensuu Department of Computer Science and Statistics, s. 32-41.
  14. KABÁTOVÁ, M., PEKÁROVÁ, J. Learning how to teach robotics. Constructionism 2010 conference. 2010, Paris. ISBN 978-8089186-66-2 (on-line).