Prototype of Robotic Gamification Model for Climate Change Literacy for Green Innovation and Entrepreneurship with Social Robot Nao

  • Stephen Ochieng Oguta Information Technology Department, Durban University of Technology, Durban, South Africa
  • Sunday Ojo Information Technology Department, Durban University of Technology, Durban, South Africa
  • Benard Maake Computing Sciences Department Kisii University, Kisii, Kenya

Abstract

This study presents a prototype of a robotic gamification model for climate change literacy, geared towards fostering green innovation and entrepreneurship, with the integration of the social robot Nao. Conventional gamification systems in education often falter in maintaining sustained learner engagement, motivation and learning outcomes due to their reliance on predictable extrinsic rewards. To bridge this gap, this research introduces a robotic gamification prototype featuring gamified content, assessment and random badge settings besides the incorporation of the Nao robot, enhancing the aesthetic appeal of the learning process. The prototype is grounded in Self-Determination Theory, Operant Conditioning Theory, and the MDA Framework, offering a robust theoretical foundation. Through a systematic prototyping approach, this study elucidates the development of a robotic gamification model, particularly within the domain of climate change literacy training. The integration of gamification elements into the Moodle eLearning platform, coupled with Nao robot programming, presents a practical avenue for delivering engaging and effective climate change education. The gamified CCL4GIE training prototype encompasses components such as points, badges, and leaderboards, fostering learner autonomy, competence, and relatedness. Moreover, the inclusion of the Nao robot enriches the aesthetic experience, stimulating emotional impact and visual appeal. In essence, this research offers a pioneering approach to climate change education by leveraging gamification principles and robotics technology. By amalgamating theoretical insights with practical implementation, the prototype presents a promising solution to the challenge of upholding learner engagement and motivation in climate change literacy training. Further research and evaluation are warranted to gauge the effectiveness and scalability of the proposed model in real-world educational contexts.

Author Biographies

Stephen Ochieng Oguta, Information Technology Department, Durban University of Technology, Durban, South Africa

Stephen Oguta is a PhD in Information Technology student at Durban University of Technology. He has a master's degree in Telecommunications Engineering from Jomo Kenyatta University of Technology in Kenya. His research interests are Gamification, Artificial intelligence, Social robots, Big data, Computer security, Cloud computing, and neural networks among others.

Sunday Ojo, Information Technology Department, Durban University of Technology, Durban, South Africa

Professor Sunday O. Ojo holds a PhD degree in Computing Science from the University of Glasgow in Scotland, UK. His research interest areas include ICT for Development, Computational Linguistics and Natural Language Processing,, Data Science and Machine Learning, Educational Gamification, Green Computing, and Climate Change Literacy for Green Innovation and Entrepreneurship. He is currently an Adjunct Professor (Research) at Durban University of Technology in South Africa.

Benard Maake, Computing Sciences Department Kisii University, Kisii, Kenya

Dr. Benard Maake is a lecturer in the Department of Computing Sciences at Kisii University, Kenya. He holds a PhD in Computer Systems Engineering from the Tshwane University of Technology in Pretoria, South Africa. His research interests include recommender systems, big data, machine learning, cloud computing, natural language processing, and artificial intelligence.

Published
2025-02-02
How to Cite
OGUTA, Stephen Ochieng; OJO, Sunday; MAAKE, Benard. Prototype of Robotic Gamification Model for Climate Change Literacy for Green Innovation and Entrepreneurship with Social Robot Nao. International Journal of Computing Sciences Research, [S.l.], v. 9, p. 3491-3523, feb. 2025. ISSN 2546-115X. Available at: <//stepacademic.net/ijcsr/article/view/492>. Date accessed: 30 mar. 2025.
Citation Formats
Issue
Vol 9 (2025): Volume 9
Section
Articles

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.