Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/3629296.3629314acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicetcConference Proceedingsconference-collections
research-article

Teaching-Assistant Robot Tutoring Students in the Classroom

Published: 15 January 2024 Publication History

Abstract

This paper describes a teaching-assistant robot that helps teachers conduct programming classes. Programming classes generally include explanations of the basic syntax of programming languages, their applications, and cording exercises. However, the time in these classes teachers spend debugging students’ programs is usually much longer than the actual class time. Such delays can affect the progress of programming classes and student motivation. Against this background, we have been developing a teaching-assistant robot that provides advice and assistance to students with questions to support the efficient flow of programming classes. In this paper, we describe a method in which a teaching-assistant robot locates a student who has a question, moves to the student, responds to the student's question about the assembly of a wheeled robot, and gives advice to the student in a simulated class about assembling a wheeled robot used for learning programming. The teaching-assistant robot is able to answer questions about the assembly of the wheeled robot and give advice. In addition, the effectiveness of the teaching-assistant robot is demonstrated through evaluation experiments.

References

[1]
M. Barak and M. Assal, 2018, Robotics and STEM learning: students’ achievements in assignments according to the P3 Task Taxonomy—practice, problem solving, and projects, Int'l Journal of Technology and Design Education, Vol. 28, Issue 1, 2, pp.121–144.
[2]
K. Jaipal-Jamani and C. Angeli, 2017, Effect of Robotics on Elementary Preservice Teachers’ Self-Efficacy, Science Learning, and Computational Thinking, Journal of Science Education and Technology, Vol. 26, Issue 2, pp.175-192.
[3]
C. Julia, J. O. Antolı, 2018, Impact of implementing a long-term STEM-based active learning course on students’ motivation, Int'l Journal of Technology and Design Education; https://doi.org/10.1007/s10798-018-9441-8
[4]
E. Lopez-Caudana, P. Ponce, L. Cervera, S. Iza, N. Mazon, 2018, Robotic platform for teaching maths in junior high school, Int'l Journal on Interactive Design and Manufacturing, Vol. 12, Issue 4, pp.1349–1360.
[5]
A. Sullivan, M. U. Bers, 2016, Robotics in the early childhood classroom: learning outcomes from an 8-week robotics curriculum in pre-kindergarten through second grade, Int'l Journal of Technology and Design Education, Vol. 26, Issue 1, pp.3-20.
[6]
Y. Ohnishi, K. Honda, R. Nishioka, S. Mori, K. Kawada, 2017, Robotics Programming Learning for Elementary and Junior High School Students, Journal of Robotics and Mechatronics, Vol. 29, No. 6, pp.992-998.
[7]
C. Kim, J. Yuan, L. Vasconcelos, M. Shin and R. B. Hill. 2018. Debugging during block‑based programming,” Instructional Science, Vol. 46, Issue 5,767-787.
[8]
K. Yoshino and S. Zhang. 2020. Evaluation of Teaching Assistant Robot for Programming Classes. International Journal of Information and Education Technology, Vol. 10, No. 5, 327-334.
[9]
S. Müller, B. Bergande, and P. Brune, 2018, Robot Tutoring: On the Feasibility of Using Cognitive Systems as Tutors in Introductory Programming Education: A Teaching Experiment, Proc. of the 3rd European Conference of Software Engineering Education (ECSEE’18), pp. 45-49.
[10]
P. Viola and M. J. Jones, 2001, Rapid Object Detection using a Boosted Cascade of Simple Features, Proc. of IEEE Computer Vision and Pattern Recognition (CVPR 2001), IEEE; dio: 10.1109/CVPR.2001.990517
[11]
SoftBank Robotics. API for Pepper with the QiSDK. https://qisdk.softbankrobotics.com/sdk/doc/pepper-sdk/index.html
[12]
PyTroch. https://pytorch.org/

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
ICETC '23: Proceedings of the 15th International Conference on Education Technology and Computers
September 2023
532 pages
ISBN:9798400709111
DOI:10.1145/3629296
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 the author(s) 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].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 January 2024

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. Image Processing
  2. Programming Classes
  3. Supporting Teachers
  4. Teaching Assistant Robot

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Conference

ICETC 2023

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 47
    Total Downloads
  • Downloads (Last 12 months)42
  • Downloads (Last 6 weeks)3
Reflects downloads up to 03 Mar 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media