Integrating Learning, Gamification, and Social Context in ICSE Education - Karthi Vidhyalaya International ICSE School

 Integrating  Learning, Gamification, and Social Context in ICSE Education - Karthi Vidhyalaya International ICSE School

We present an approach in STEM education at the intersection of machine learning, gamification, and social context based in Thailand. We designed an agricultural based AI challenge that fostered students to learn the process of creating machine learning models in the form of a game with the emphasis on the Four P's of Creative Learning (Projects, Passion, Play, and Peers). Our goal is to come up with an innovative education model that encourages the students to connect the emerging technological solutions such as AI with the pressing realworld problems in the playful environment. We found that machine learning can be used as a tool to successfully conduct interdisciplinary education at the middle school level.
 
The modern framework on constructionism in learning developed by MIT Media Lab is focusing on the intersection of emerging technologies, activities, and strategies to engage students in the creative learning experiences. The framework is based on 4 core values (Four P’s of Creative Learning) that foster students to become creative learners: 1) Projects: researchers found that students learn best when they are actively engaging on the projects that are meaningful to them. 2) Passion: the freedoms to work on the meaningful projects foster the students to invest in their works and persist in the face of challenges, which make them learn more in the process. 3) Peers: learning is a social activity, where fellow learners are constantly collaborating on ideas and sharing thoughts. 4) Play: learning involves playful experimentations, trying new things, tinkering with materials and tools, testing boundaries, taking risks, and iterating the projects again and again Read More
 

 
 
Apart from the project-based learning, researchers suggested that the future of STEM education must converge with creative imagination and be situated in the dynamic social and cultural context in order to nurture students for the complex and unpredictable futures . In the context of AI education, researchers have proposed the strategies to integrate the learning of artificial intelligence with the social and real-world problems by implementing the idea of “AI challenges” as a way to motivate students to learn about AI . Furthermore, researchers have integrated various themes such as airport security, wildlife protection, and other challenges rooted in society to create AI challenges. This method helps decentralize and spread the knowledge of making AI to diverse populations such as public high school students, university undergraduate students, law enforcement officers, and even park rangers who protect wildlife. Click Here
 
 
 
 

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