The Effectiveness of Producing a Blended Learning Environment Based on the Programming of an Educational Robot to Develop Problem-solving Skills in Science for Intermediate School Students in the Kingdom of Saudi Arabia

Authors

  • Mohamed Gomaa Elmorsy Agwa Faculty of Educational Studies, The National Egyptian E-Learning University, Egypt
  • Mohamed Ibrahim El-Desouki Faculty of Education, Helwan University, Egypt
  • Mohamed Elsayed Elnagar Faculty of Educational Studies, The National Egyptian E-Learning University, Egypt

Keywords:

Problem-solving skills, Blended learning Environment, Educational Robot programming

Abstract

The goal of this research is to measure the effectiveness of producing a Blended learning environment based on the programming of an educational robot to develop problem-solving skills in science for intermediate school students in the Kingdom of Saudi Arabia. The research sample was randomly selected from sixty (60) students in the second year. The researcher used the experimental method with a quasi-experimental design (the design of the control group - experimental with a pre and post-test) Where the experimental group is taught through a blended learning environment based on the programming of the educational robot The control group is taught traditionally.

References

Alimisis, A., Fava, F., Ionita, M, Monfalcon, M., Papanikolaou, P. (2010). Introducing robotics to teachers and schools: experiences from the TERECoP project. Proceedings of Constructionism.

Alimisis, D., & Education, T. (2013). Educational robotics: Open questions and new challenges. Themes in Science & Technology Education. 6(1), 63-71 .

Alseweed, M., (2013). Students' achievement and attitudes toward using traditional learning, blended learning, and virtual classes

learning in teaching and learning at university level. Studies in literature and language. 6(1). 65-73 .

Atmatzidou, S., Demetriadis, S. & Systems, A. (2016). Advancing students’ computational thinking skills through educational robotics:

A study on age and gender relevant differences. Robotics and Autonomous Systems. 75, 661-670. https://doi.org/https://doi.org/10.1016/j.robot.2015.10.008

Barak, M., Zadok, Y., & Education, D. (2009). Robotics projects and learning concepts in science, technology, and problem-solving. International Journal of Technology and Design Education. 19(3), 289-307 .

Bartneck, C., Bleeker, T., Bun, J., Fens, P., & Riet, L. (2010). The influence of robot anthropomorphism on the feelings of embarrassment when interacting with robots. Paladyn. 1(2), 109-115 .

Beghetto, R. A., & Kaufman, J. C. (2010). Nurturing creativity in the classroom. Cambridge University Press .

Benitti, F. B. V. J. C., & Education. (2012). Exploring the educational potential of robotics in schools: A systematic review. Computers & Education. 58(3), 978-988 .

Brahim, T, Marghitu, D., Weaver, J. (2012). A survey on robotic educational platforms for K-12. In T. Bastiaens & G. Marks (Eds.),

Proceedings of E-Learn 2012--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 1 (pp. 41-48). Montréal, Quebec, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved February 28, 2023 from

https://www.learntechlib.org/primary/p/41555/.

Chen, X. (2018). How does participation in FIRST LEGO League robotics competition impact children’s problem-solving process?

International Conference on Robotics and Education RiE.

Chew, E. (2009). A blended learning model in higher education: A comparative study of blended learning in UK and Malaysia. University of South Wales. United Kingdom .

Clark, P. (1994). Learning on interdisciplinary gerontological teams: Instructional concepts and methods. Educational Gerontology, 20

(4). 349-364, DOI: 10.1080/0360127940200402 .

Dewey, J., (1910). How We Think. Dover Publications, Inc .

Downes, S. (2012). Connectivism and connective knowledge .Essays on meaning and learning networks. EdTech Books. https://edtechbooks.org/connectivism.

Eguchi, A. (2012). Educational robotics theories and practice: Tips for how to do it right. In Robots in K-12 education: A new technology for learning. 1-30. IGI Global .DOI: 10.4018/978-1-4666-4607-0.ch011.

Eguchi, A. (2016). Computational thinking with educational robotics. Society for Information Technology & Teacher Education

International Conference ,

Elkin, M., Sullivan, A., & Bers, M. U. J. C. i. t. S. (2016). Programming with the KIBO robotics kit in preschool classrooms. Computers in the Schools. 33(3), 169-186 .DOI: 10.1080/07380569.2016.1216251.

Fong, T., Thorpe, C., & Baur, C. (2003). Multi-robot remote driving with collaborative control. IEEE Transactions on Industrial Electronics. 50(4), 699-704 .

France, R. et al (1992). Programming Standards – General. Retrieved From: http://www.dlib.vt.edu/projects/MarianJava/CodingStand.pdf . On: 1/8/2022.

Gardner, H. E. (1993). Multiple Intelligences the Theory in Practice. Basic Books/Hachette Book Group.

Garrison, D, & Vaughan, D. (2008). Blended learning in higher education: Framework, principles, and guidelines. John Wiley & Sons .

Gharacheh ,A.(2016).Presentation of blended learning conceptual pattern based on individual and social constructivism theory.

International Journal of humanities and culture studies,12(1),1126-1151.

Harvey, S. (2003). Building effective blended learning programs. Issue of Educational Technology. 43(6), 51-54 .

Jang, Y. (1993). The Influence of Programming Skills on Learning and Study Strategies .Journal of Intelligence. 10(3). 71.

Kanda, T., & Ishiguro, H. (2005). Communication robots for elementary schools. Proceedings of the Symposium on Robot Companions: Hard Problems and Open Challenges in RobotHuman Interaction. University of Hertfordshire, Hatfield, UK

Karagiorgi,K., Symeou,L. ,(2005). Translating constructivism into instructional design. Potential and limitations, educational technology, and society. 8(1),1-11 .

Kelly, R., & Moreno, J. J. I. T. o. E. (2001). Learning PID structures in an introductory course of automatic control. IEEE Transactions

on Education. 44(4), 373-376 .

Kintu, M.J., Zhu, C. & Kagambe, E. (2017). Blended learning effectiveness: the relationship between student characteristics, design features and outcomes. International Journal of Educational Technology in Higher

Littlejohn, A., & Pegler, C. (2007). Preparing for blended elearning. Routledge .

Maker, C., & Schiever, S. W. (2005). Teaching models in education of the gifted. ERIC .

Matukhin, D., Zhitkova, E. & Sciences, B. (2015). Implementing blended learning technology in higher professional education.

Procedia - Social and Behavioral Sciences. 206:183-188. DOI: 10.1016/j.sbspro.2015.10.051

Mckinnon, P. (2016). Robotics: Everything You Need to Know About Robotics from Beginner to Expert. Create Space Independent

Publishing Platform .

Milheim, W. (2006). Strategies for the design and delivery of blended learning courses. Educational Technology. 46(6), 44-47 .

Polya, G. (1962). Mathematical discovery. John Wiley & Sons .

Pressman, R. S. (2005). Software engineering: a practitioner's approach. Palgrave macmillan .

Shim, J., Kwon, D., & Lee, W. (2016). The effects of a robot game environment on computer programming education for elementary

school students. IEEE Transactions on Education. 60(2), 164-172 .

Downloads

Published

2023-04-27

How to Cite

Agwa, M. G. E., El-Desouki, M. I., & Elnagar, M. E. (2023). The Effectiveness of Producing a Blended Learning Environment Based on the Programming of an Educational Robot to Develop Problem-solving Skills in Science for Intermediate School Students in the Kingdom of Saudi Arabia. ESI Preprints, 16, 15. Retrieved from https://esipreprints.org/index.php/esipreprints/article/view/356

Issue

Vol. 16 (2023): ESI Preprints

Section

Preprints

License

Copyright (c) 2023 ESI Preprints

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.