Socialization of Computational Thinking to Middle School Mathematics Teachers in Solving Ethnomathematics Problems

One of the core competencies that is highly needed in today's digital era is computational thinking skills. The ability to transform complex problems into algorithmic representations, design solutions, and systematically explain the problem-solving process is key to success in facing the challenges of 21st-century education. However, various research findings indicate that students' mastery of computational thinking is still not optimal. Therefore, students' ability to solve problems in mathematics learning by integrating acquired information needs to be improved to prevent low computational thinking skills. One way to achieve this is by using local contexts to enhance students' mathematical literacy. Middle school mathematics teachers in Banjarmasin City have never received information about computational thinking, which is highly beneficial in solving mathematical problems. In line with this, this Community Service (PkM) activity aims to improve teachers' understanding of the importance of computational thinking in mathematical problem-solving, particularly in implementing the Merdeka Curriculum. The implementation method of this PkM follows a Participatory Action Research (PAR) approach, conducted both offline and online. The offline activities consist of discussions and socialization, while the mentoring activities will be conducted online until the final products are developed collaboratively. The materials covered in this PkM activity include: (1) understanding computational thinking in mathematical problems; (2) developing ethnomathematical problems; (3) applying computational thinking in ethnomathematical problems; and (4) producing ethnomathematical problems related to wetland environments that can foster students’ computational thinking skills. The expected outcomes of this PkM activity are: (1) the publication of PkM activities in online media and YouTube; and (2) the development of ethnomathematical problems in wetland environments and their solutions using computational thinking stages that meet feasibility criteria.