Artificial Intelligence and IoT Solutions Developed in Global Project-Based Learning Program

Serdar HocamAuthor & Editor

Multinational teams of university students from different countries prepare innovative projects to tackle real-world problems.

◉ 0 views
Uluslararası öğrenciler, Nesnelerin İnterneti ve Yapay Zeka kullanarak pratik sorunları çözüyorlar.

Students from universities in Vietnam, Japan, Taiwan, and Malaysia are creating practical solutions to problems by combining the Internet of Things and Large Language Models under the Global Project-Based Learning program.

Global Project-Based Learning Model

Based on the principle of learning by solving problems that do not have a sample answer, the Global Project-Based Learning program brings together students from universities in different countries.

While working in multinational student teams, students go beyond acquiring knowledge and carry out joint projects with members from multiple countries and disciplines.

Theme and Scope of the 2026 Program

The main theme of gPBL 2026 was determined as the Internet of Things in the Age of Large Language Models, and work was requested in this direction.

Students are expected to build systems capable of collecting data from real environments, processing information, and supporting human decision-making processes.

Real-Life Project Topics

Teams have chosen a very wide range of topics, from monitoring health risks to early warning systems against natural disasters.

Real-life problems such as supporting smart irrigation in agriculture and assisting drivers while parking are being addressed.

Quality of Life and Health Projects

While some groups focus on preventing the risk of heat stroke for the elderly in indoor spaces, others are developing movement games.

Combining physical activity and cognitive tasks, these projects aim to simultaneously improve the motor skills and reflexes of the players.

Technology and Human Role Discussions

Students have engaged in discussions on where artificial intelligence should be used and what role humans should play in the system.

While rules and algorithms were preferred for critical decisions, language models were used to support contextual analysis and generate recommendations.

Value and Future of the Program

As a result of the achievements obtained, the program has been expanded to other universities in the region and its scope has been broadened.

According to educational authorities, the most important value of the program lies not only in the completed technological products, but also in the multifaceted outcomes that emerge.