arrow
Return

Collaborative robotic instruction: A graph teaching experience

delete2009-09-01
delete119
PRE
AI
M
Matías Recabarren
M
Miguél Nussbaum
Á
Álvaro Soto
DOI:10.1016/j.compedu.2009.02.010delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Graphing is a key skill in the study of Physics. Drawing and interpreting graphs play a key role in the understanding of science, while the lack of these has proved to be a handicap and a limiting factor in the learning of scientific concepts. It has been observed that despite the amount of previous graph-working experience, students of all ages experience a series of difficulties when trying to comprehend graphs or when trying to relate them with physical concepts such as position, velocity and acceleration. Several computational tools have risen to improve the students' understanding of kinematical graphs; however, these approaches fail to develop graph construction skills. On the other hand, Robots have opened new opportunities in learning. Nevertheless, most of their educational applications focus on Robotics related subjects, such as robot programming, robot construction, and artificial intelligence. This paper describes a robotic activity based on face-to-face computer supported collaborative learning. By means of a set of handhelds and a robot wirelessly interconnected, the aim of the activity is to develop graph construction and graph interpretation skills while also reinforcing kinematics concepts. Results show that students using the robotic activity achieve a significant increase in their graph interpreting skills. Moreover, when compared with a similar computer-simulated activity, it proved to be almost twice as effective. Finally, the robotic application proved to be a highly motivating activity for the students, fostering collaboration among them. (C) 2009 Elsevier Ltd. All rights reserved.
Keywords:
Face-to-face computer supported
collaborative learning
Robotic assisted teaching
Intelligent tutoring systems
Interactive learning environments
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

C
Computers and Education
IF:
10.5
Papers:
5.0K
Citations:
2.9W

Organization

P
Pontificia Universidad Catolica de Chile
Scholars:
1.5W
Papers: 1.2W
Citations: 16
Cited Papers

Cited Papers

Local detailed inspection methods regarding reinforcement corrosion of concrete structures
err2012-07-11
err0
PREAI
errK. Reichling; M. Raupach; J. Broomfield; J. Gulikers; P. V. Nygaard; U. Schneck; G. Sergi
errShare
errSave
err
IF0
err
err0
PREAI
err
errShare
errSave
Wheat antimicrobial peptides
err2013-02-17
err0
PREAI
errT. I. Odintsova; T. V. Korostyleva; L. L. Utkina; Ya. A. Andreev; A. A. Slavokhotova; E. A. Istomina; V. A. Pukhal’ski; T. A. Egorov
errShare
errSave
Historical development of typing methods for Streptococcus pneumoniae
err2014-04-01
err0
PREAI
errJames John; Sangeetha Gopalkrishnan; Mohammed Ali M. Marie; K. Lakshmana Gowda
errShare
errSave
researcher View more