Abstract
In this paper we describe MRSCL Geometry, a collaborative educational activity that explores the use of robotic technology and wirelessly connected Pocket PCs as tools for teaching and reinforcing concepts of basic geometry. The application can be considered robotic aided education since the robot acts as a mediator in the learning experience while the students are able to learn concepts that are not related to Robotics. One mayor difference with previous computer based teaching tools is that the robot motions are not absolute, but relative to external references and past moves mapped in the real world. Furthermore, MRSCL Geometry helps students to develop social abilities, such as communicating with their pairs, and geometrical abilities, such as interpreting and describing information about lengths, positions, and trajectories. Autonomous robot navigation is carried out by developing the teaching activities in a simplified world consistent of clear space and bright color landmarks that are used by the robot as the main reference to continuously track its position. In this respect, we develop vision algorithms for the real time detection and tracking of landmarks. We also implement distance estimation and control algorithms to allow the robot to move and turn accurately.
This work was partially funded by fondecyt grant 1040605.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Avanzato, R., Abington, P.S.: Mobile robot navigation contest for undergraduate design and k-12 outreach. In: ASEE Annual Conference Proceedings. American Society for Engineering Education (2002)
Clements, D.H., Battista, M.T.: Constructivist learning and teaching. Arithmetic Teacher 38, 34–35 (1990)
Clements, D.H.: Teaching length measurement: Research challenges. School Science and Mathematics 99(1), 5–11 (1999)
Cortez, C., Nussbaum, M., Santelices, R., Rodriguez, P., Zurita, G.: Teaching science with mobile computer supported collaborative learning (MCSCL). In: Second IEEE International Workshop on Wireless and Mobile Technologies In Education (WMTE 2004), pp. 67–74. IEEE Computer Society Press, Los Alamitos (2004)
Hoyles, C.: Modelling geometrical knowledge: The case of the student. In: Intelligent Learning Environments: The Case of Geometry, vol. 117, pp. 94–112. Springer, Heidelberg (1986)
Hoyles, C., Noss, R.: What can digital technologies take from and bring to research in mathematics education? In: Second International Handbook of Mathematics Education, pp. 323–349. Kluwer Academic Publishers, Dordrecht (2003)
Johnson, D., Johnson, R.: Learning Together and Alone, 5th edn. Allyn & Bacon (1999)
Piaget, J., Inhelder, B.: The child’s conception of space. W. W. Norton (1967)
Vigotsky, L.: El desarrollo de los procesos psicolgicos superiores. Crítica, Barcelona (1979)
Wang, E., Wang, R.: Using legos and robolab (labview) with elementary school children. In: Frontiers in Education Conference, vol. 1, pp. T2E/11. IEEE, Los Alamitos (2001)
Weinberg, J., Engel, G., Gu, K., Karacal, C., Smith, S., White, W., Yu, X.: A multidisciplinary model for using robotics in engineering education. In: ASEE Annual Conference Proceedings, American Society for Engineering Education (2001)
Zurita, G., Nussbaum, M.: A constructivist mobile learning environment supported by a wireless handheld network. Journal of Computer Assisted Learning (Accepted for publication)
Zurita, G., Nussbaum, M.: Computer supported collaborative learning using wirelessly interconnected handheld computers. Computers & Education 42(3), 289–314 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Mitnik, R., Nussbaum, M., Soto, A. (2004). Mobile Robotic Supported Collaborative Learning (MRSCL). In: Lemaître, C., Reyes, C.A., González, J.A. (eds) Advances in Artificial Intelligence – IBERAMIA 2004. IBERAMIA 2004. Lecture Notes in Computer Science(), vol 3315. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30498-2_91
Download citation
DOI: https://doi.org/10.1007/978-3-540-30498-2_91
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23806-5
Online ISBN: 978-3-540-30498-2
eBook Packages: Springer Book Archive