“KHUN SEAN” SMART ROBOT FOR COMPUTATIONAL THINKING

Teaching and Learning

“This study explores the integration of robotics into primary school curricula to promote computational thinking (CT) across disciplines. With technological disruption driving changes in education, developing CT skills has become essential, particularly in preparing them for future challenges in a world increasingly shaped by automation. To identify critical characteristics driving CT development, a two-phase research approach was used to survey 343 instructors and 597 students, followed by an experimental intervention with 30 fourth-grade students. The results showed that “pedagogy”—well-structured training and robotics—is the biggest element in CT promotion. Students solved problems using CT concepts such as deconstruction, abstraction, algorithmic reasoning, and generalization in five robot-assisted learning activities. The ability to analyze, implement, and transfer knowledge improved significantly, according to statistical analyses. The study found that integrating robotics into several topics accompanied by excellent pedagogy improves students’ CT skills and computational comprehension, preparing them for their future careers.”

[ https://www.youtube.com/watch?v=KUU17xxV3LY ]

The main features and implementation

The main features of the innovation primarily focused on integrating robotics into education to promote computational thinking (CT) across disciplines, particularly at the primary school level. Key features of the strategy are interdisciplinary Integration. Computational thinking and robotic education were integrated across different subjects, such as mathematics, English, Science, and Arts. For instance, students used programming robots in tasks like solving math equations, creating vocabulary using movement commands, and drawing art by controlling the robot’s motion. Moreover, hands-on learning with Robots is the key implementation involved using educational robots to facilitate active learning. The students learned to sequence and execute commands through command cards, which developed their problem-solving skills and computational thinking dimensions such as abstraction, algorithmic thinking, and debugging.

Promoting the use of new technology to facilitate innovative teaching:

The research team embraced and supported new technology to facilitate innovative teaching by integrating digital tools and methodologies that enhance both student engagement and learning outcomes. One of the main initiatives involved incorporating robotics and programming into the curriculum, which allowed students to develop computational thinking skills in a hands-on and interactive way. The robot was implemented across various subjects, making learning more interdisciplinary and dynamic.

Creating an educational environment across the university:

The project has enhanced teaching quality by integrating KHUN SEAN into the core curriculum from the early stages of education, allowing pre-service instructors to use it as a fundamental learning tool. We offer comprehensive training programs that equip educators to effectively implement KHUN SEAN in diverse school settings. Additionally, we continuously refine our teaching approaches by incorporating student feedback to ensure our strategies remain relevant and effective.

Recognizing and rewarding innovative teaching:

The international invention innovation competition was organized by Toronto International Invention and Advance Skills (TISIAS), which awarded KHON SEAN a gold medal for its novel design and educational effectiveness. This award has confirmed the effectiveness of KHON SEAN as an educational tool. The reward encourages instructors to adopt innovative pedagogical methods. Moreover, the reward can create a dynamic learning community to exchange best practices and attract more attention from universities, leading to collaborative relationships.

Maximize the potential of learning experience:

The following is an outline of tactics employed to optimize students’ potential:

Identify the Problem: Identify the problem and also gaps in personalized support, accessibility, and practical learning opportunities then design a solution.
Implement the Solution: Engage students with problem-solving tasks, interdisciplinary research, and skill development opportunities such as internships and certifications to improve employability.
Interdisciplinary Integration: The “Khun Sean” robot connects subjects like math, science, art, and music, making learning more holistic and engaging by tying abstract concepts to practical outcomes.
Innovative Use of Robotics in Education: The innovative use of robotics in education transforms traditional teaching methods and enhances student engagement. By integrating robots into the curriculum, educators can provide hands-on learning experiences that foster critical thinking, creativity, and collaboration.