Case Studies: The Impact of Artificial Intelligence on STEM Education

Artificial intelligence can improve the quality of teaching and learning in education. It can have a more positive impact by serving as a new special purpose “method of intervention” that can change our curriculum in education. Artificial intelligence refers to technology that reacts to its environment and responds to tasks in a way that optimizes the levels of success. In this chapter, we certain tasks which were carried out by educational robotics and learning management systems that could maximize the success of teaching and learning, specifically in Mathematics and computer science education, were discussed. The two types of technology discussed in this chapter are robotics and a learning management system. We These two types of technology were considered in a general setting and examples of actual usage in classroom situations were provided. The authors present for each type, an example of intervention of artificial intelligence. In the case of robotics, research was carried out with preservice computer science teachers (n =75). These teachers were asked about their experiences when utilizing robotics when learning computer programming. Kolb’s Experiential Learning Cycle guided that study. In the section that follows, we potentials of robotics in STEM Education were surveyed. In the case of using the learning management systems, a mixed-mode research study was carried out with science students in one study and then with engineering students (n =162) learning mathematics. It was found that there is ample potential for the use of artificial intelligence in education to enhance teaching to support more effective individualized learning. We in this chapter, the benefits of using educational robotics and learning management systems for teaching and learning in education with pre-service teachers and engineering students were shown.