AI in serious games for simulation-based learning and formative assessment strategies: GAMEland case study

In today's rapidly evolving educational landscape, the imperative to equip university students with comprehensive language competencies and robust soft skills for enhanced employability has become increasingly apparent. This paper delves into the critical need for innovative learning methodologies to address these requirements effectively, particularly focusing on the utilization of virtual and mixed reality simulations, serious game-based scenarios, and AI modules applied to escape room models. Traditional educational practices often fall short in adequately preparing students for the demands of the modern workforce. As such, there is a growing recognition of the necessity to incorporate dynamic and immersive learning experiences that foster both linguistic proficiency and the development of essential soft skills such as critical thinking, communication, and teamwork. Virtual and mixed reality simulations offer an unparalleled opportunity for students to engage in realistic scenarios and experiential learning environments. By immersing learners in simulated situations, these technologies facilitate situated learning, foster active participation and situational awareness, enabling students to apply theoretical knowledge to practical contexts effectively. Serious game-based scenarios provide an engaging and interactive platform for learning, where students can navigate through challenges and make decisions in a risk-free environment. This approach not only enhances retention and comprehension but also cultivates problem-solving skills and adaptability, crucial for success in today's dynamic job market. Additionally, the integration of AI modules into escape room models adds a level of personalization and real-time individualised feedback to the learning experience. Through adaptive feedback mechanisms and gamified learning pathways, AI-powered systems tailor the methods and strategies used in the field of higher education to individual learner needs, optimizing learning outcomes and fostering self-directed learning. Drawing on the principles of scenario-based micro learning and formative assessment strategies, this flexible and multimodal approach to transformative learning places students at the center of their learning, empower them to take ownership of their learning and develop skills that are directly transferable to real-world situations. This paper introduces the prototype GAMEland as a case study to illustrate the application of these innovative methodologies in higher education. By leveraging virtual and mixed reality simulations, serious game-based scenarios, and AI-enhanced escape room models, GAMEland exemplifies an approach to language and soft skills development that meet the evolving needs of university students in the 21st century.