Modality
on-site
Room: TBA
Target Audience
- Researcher and academics
- Industry
- Students
Requirements for participants
Participants should bring their own laptop or tablet, equipped with spreadsheet processing software like Microsoft Excel
Previous knowledge:
- Participants should read the material on emotional intelligence that will be provided
- Basic knowledge of machine learning, AI, and prompt engineering.
Introductory material will be provided ahead of the course
Abstract
The future citizen competencies are critically important to societies as they contribute to the overall well-being, development, and sustainability of communities and societies. These competencies go beyond traditional academic knowledge and skills, emphasizing qualities and capabilities that prepare individuals as well as groups of people to thrive in an increasingly complex and interconnected world. Current approaches to creating conceptual models of such complex systems focus mainly on assessment tools and interventions. Moreover, there is no standard approach that establishes this conceptual framework for the architectural description of a future citizen competencies system. In this course, we use the ISO/IEC/ IEEE 42010 Standard created for developing intensive software systems and apply it to what we call the “Architecturing of a Future Citizen Competencies” (FCC) system.
In addition, the educational and psychological applications of AI have gained prominence due to their potential to enhance learning processes, personal growth, and societal development. In education, AI aids personalized learning, adaptive assessments, and the development of future-ready competencies that extend beyond academic skills. Psychologically, AI-driven tools facilitate emotional intelligence (EI) assessments and interventions, enabling individuals to build essential social skills like empathy and teamwork. The integration of AI, such as generative AI models, complements traditional methods by providing tailored feedback and adaptive learning pathways. This approach addresses the complexities of creating frameworks like the "Future Citizen Competencies" system, enhancing its structure and application​.
The course will start with setting the foundation for skills needed to be emotionally intelligent leader and the competencies required for future happiness and success.
The second part of the course will be based on traditional assessments and interventions.
The third part of the course will focus on the innovative standard and the integration of Generative AI tools.
Participants will be designing a process based on their context and areas of focus because of this course.
The proposed FCC system includes social and emotional skills such as self-awareness, empathy, communication, teamwork, and adaptability. These skills contribute to positive interpersonal relationships, effective collaboration, and the ability to manage emotions, all of which are crucial for personal and societal well-being. The ISO/IEC/ IEEE 42010 Standard is used to address the conceptualization and creation of the architecture of the FCC system through the identification of the system’s components and the architecture descriptions. It provides an essential ontology to define the concepts, relationships, and properties that characterize the FCC domain and its architecture, and the entities within it. The use of such standards is expected to help manage the complexities faced by stakeholders of the FCC system, and the conceptual framework and the architectural descriptions play an important role in the understanding of the FCC system’s core and the key properties relating to its behavior, composition, and evolution.
Benefits for attendees
- Master Emotional Intelligence (EI) Assessments: Learn how to use the MS-Tool for assessing EI across six dimensions (self-awareness, empathy, communication, teamwork, and adaptability), essential for leadership and interpersonal development.
- AI-Driven EI Interventions: Gain hands-on experience using GPT-4 to generate meaningful and personalized EI interventions based on assessment data. Learn how to fine-tune and prompt-engineer GPT-4 for effective, context-specific EI feedback and recommendations.
- Ethical Competency in AI: Understand and apply ethical considerations in using AI for emotional intelligence assessments, including data privacy, confidentiality, and responsible deployment of interventions.
- Framework Design with ISO Standards: Learn how to apply the ISO/IEC/IEEE 42010 Standard to create a conceptual framework for future citizen competencies (FCC), developing an architecture that addresses both traditional and AI-enhanced systems.
- Tailored Process Design: Design a personalized FCC process based on your specific context, incorporating both traditional assessments and AI-driven interventions.
Course Content
- Foundational Skills for Emotional Intelligence and Leadership:
- Introduction to the emotional and social skills needed for effective leadership and interpersonal relationships.
- Exploration of competencies essential for future happiness and success.
- Traditional Assessments and Interventions:
- Overview of current approaches to assessing competencies in individuals and groups.
- Discussion of traditional interventions to enhance social and emotional skills.
- Architecturing Future Citizen Competencies (FCC) System:
- Explanation of the ISO/IEC/IEEE 42010 Standard’s role in the conceptualization and creation of an FCC system architecture.
- Identification of system components, relationships, and properties that define the FCC domain.
- Emphasis on managing stakeholder complexities and evolving system behavior.
- Integration of Generative AI to enhance system capabilities.
Hands-on part
Design a Personalized FCC Process:
- Participants will design a process for developing future citizen competencies based on their specific context and areas of focus.
- Application of the ISO/IEC/IEEE 42010 Standard to conceptualize and create an architectural description of the system.
- Incorporation of Generative AI tools to innovate and enhance the designed process for effective competency development.
Hands-On Activity: Designing a Personalized FCC Process
Step 1: Contextual Analysis
- Objective: Participants will begin by identifying and analyzing their specific context, whether it be organizational, educational, or community-based.
Activities:
- Define Focus Areas: Identify key focus areas such as leadership development, teamwork, emotional intelligence, or adaptability.
- Understand Stakeholder Needs: Conduct a brief analysis of the needs, challenges, and goals of the stakeholders involved (e.g., students, employees, community members).
- Context Mapping: Use mapping tools to lay out the context for implementing the FCC system, considering factors like cultural, social, and economic elements.
Step 2: Application of ISO/IEC/IEEE 42010 Standard
- Objective: Learn to apply the ISO/IEC/IEEE 42010 Standard to create the architecture for the FCC system.
Activities:
- Component Identification: Participants will identify and list the key components of their FCC system, such as emotional intelligence development, communication, teamwork, and leadership.
- Relationship Mapping: Define the relationships and interactions between components within the system using the ontology provided by the standard.
- Define System Properties: Participants will specify the key properties and behaviors of their FCC system, such as adaptability, resilience, or collaboration.
Step 3: Integration of Generative AI
- Objective: Incorporate Generative AI tools to enhance the process design and create innovative, AI-supported interventions.
Activities:
- AI Tool Selection: Explore and select generative AI tools that can be integrated into the FCC system (e.g., AI for personalized learning pathways, emotion detection, or automated feedback).
- AI Application Design: Design specific use cases where AI tools can support or enhance emotional intelligence assessments or competency-building interventions.
- Feedback Loops: Build mechanisms using AI to continuously assess progress and provide adaptive interventions.
Step 4: Process Design and Prototyping
- Objective: Create a detailed prototype of the FCC process.
Activities:
- Architectural Description: Participants will produce a high-level architectural description of their FCC process based on the identified components, relationships, and system properties.
- Process Workflow: Design a step-by-step workflow of how the FCC process will be implemented, from competency assessment to AI-driven interventions and feedback.
- Customization and Adaptability: Ensure the process is adaptable to different contexts and evolving stakeholder needs, incorporating generative AI tools to make the system responsive and scalable.
Step 5: Feedback and Iteration
- Objective: Refine and iterate on the FCC process based on peer and instructor feedback.
Activities:
- Peer Review: Share the designed process with fellow participants and gather constructive feedback.
- Iteration: Modify and enhance the process based on feedback, focusing on scalability, adaptability, and effectiveness in addressing the needs of future citizens.
By the end of this course, the participants will have:
- A personalized FCC System Architecture that applies to the ISO/IEC/IEEE 42010 Standard.
- A working prototype of a Generative AI-enhanced process for developing future citizen competencies.
- A well-documented process workflow that can be applied in a real-world context (e.g., education, corporate training, or community development).
Bio Sketch of Course instructors
Lana Hiasat is a senior lecturer at Higher Colleges of Technology Dubai and has a doctoral degree in educational leadership with specialization in educational technology. She has published in the areas of educational technology, AI, emotional intelligence, future foresight, and cultural studies. She won the HCT Teaching Excellence Award 2024-2025. Lana created the below AI bots and research literacy app:
Future Foresight Bot: https://poe.com/FutureForesight
My future Career Bot: https://poe.com/MyFutureCareer
Research App: https://researchliteracy.glide.page
Faouzi is an Associate Professor and Fellow HEA. He has a doctoral degree in Electronic Engineering, the Graduate School of Electronic, Science and Technology, Shizuoka University, Japan. Faouzi has over 30 years of teaching experience in the UAE, Canada, and Japan. He published 100 papers in scientific journals and conference proceedings. He is the recipient of several awards including Excellence in Academic Innovation and Pioneering Employee Medal. His research interests are in Emotional Intelligence Assessment and Interventions, Application of Artificial Intelligence and GenAI, and Citizen Competencies Framework Conceptualization and Development.