Potential Abstract:
Individualized learning has gained significant attention in educational research, as it recognizes the unique needs and preferences of learners. Open educational practices (OEPs) have also emerged as a promising approach to promote inclusive and accessible learning opportunities. This research article investigates the potential of integrating individualized networks and OEPs in the context of engineered simulation for educational purposes.
The rapid advancement of artificial intelligence and machine learning technologies has paved the way for the development of sophisticated educational simulations that can provide personalized learning experiences. These simulations simulate real-world scenarios, enabling learners to actively engage in problem-solving and decision-making processes. However, in order to effectively leverage the benefits of engineered simulation, it is crucial to ensure that learners’ individual needs and preferences are adequately considered.
This article explores how individualized networks can be integrated into engineered simulations to personalize the learning experience. Individualized networks consist of a learner’s social connections, interests, and prior knowledge, which can be leveraged to tailor the simulation content and design to their specific needs. By incorporating OEPs, such as open educational resources, collaborative learning environments, and learner-generated content, the potential for customization and adaptability in engineered simulations can be further enhanced.
The research methodology involves a comprehensive literature review to examine the current state of individualized networks and OEPs in education. This review explores various educational contexts, including K-12, higher education, and professional development, to identify successful implementations and best practices. Furthermore, the article discusses the potential challenges and ethical considerations associated with integrating individualized networks and OEPs in engineered simulations.
The findings of this research provide insights into the benefits and limitations of incorporating individualized networks and OEPs in engineered simulations. It highlights the potential for improved learner engagement, motivation, and learning outcomes through personalized educational experiences. Additionally, this research offers recommendations for educators and designers to effectively implement and support individualized networks and OEPs within the context of engineered simulations.
Potential References:
- Envisioning engineering education and practice in the coming intelligence convergence era—a complex adaptive systems approach
- Simulation in manufacturing: Review and challenges
- Engineering the public: Big data, surveillance and computational politics
- Simulation in healthcare education: a best evidence practical guide. AMEE Guide No. 82
- Revolutionizing science and engineering through cyberinfrastructure
