The Integration of Computational Thinking and Artificial Intelligence Serves to Enhance The Cognitive Processes and Skill Acquisition of Students
Shenmeihao Tian · 2024
In the rapidly evolving field of computer science education, the integration of computational thinking (CT) with artificial intelligence (AI) has become a focus of attention as it may have the potential to technologically facilitate and equip students with required future skills. This research emphasizes the value of the harmonies in between CT and AI within the Science, Technology, Engineering, and Mathematics (STEM) structure. Key findings consist of: (a) CT comprises aspects such as abstraction, algorithms, trouble disintegration, pattern recognition, debugging, and AI, which should operate cohesively to deal with complex obstacles properly; (b) Many initiatives have incorporated CT into STEM education and learning via techniques like gamification, high-order thinking questions (HOTS), and peer evaluation. Consequently, it is essential to integrate computational thinking with artificial intelligence in order to improve students' cognitive development and skill acquisition.