FLO MicroCourse: Embracing Emotional Intelligence and AI for Inclusive Education OER 2024
Topic outline
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First, look at the Day 1 summary to get a clear picture of all the day's activities. Day 1 introduces you to Emotional Intelligence (EI) and its importance in higher education, with a focus on self-awareness, emotional regulation, empathy, and motivation. You’ll explore the connection between EI and Generative AI (GenAI) in the lesson and watch Dr. Travis Bradberry's video on managing emotions and enhancing relationships. Afterward, you’ll participate in a self-awareness journaling activity with ChatGPT, using prompts to reflect on your emotions and gain insights into your emotional intelligence. Finally, share your reflections in the forum discussion and engage with your peers.
Learning Outcomes:
By the end of this lesson, you will be able to:
- Understand the role of Emotional Intelligence (EI) in academic and personal success.
- Use Generative AI (GenAI) to improve self-awareness and emotional regulation.
- Reflect on emotions and EI through journaling and peer discussions.
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Make a submissionOpened: Monday, 16 September 2024, 12:00 AMDue: Thursday, 31 October 2024, 12:00 AM
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Day 2 focuses on the importance of empathy in communication. Through Brené Brown's animated video on empathy, participants will explore how truly understanding others' emotions can improve relationships, resolve conflicts, and foster connection. The lesson emphasizes that empathy goes beyond offering sympathy—it involves actively listening, acknowledging others' feelings, and responding with care. Participants will reflect on their own experiences with empathy and consider how to integrate it into their personal and professional interactions.
Learning Outcomes:
By the end of this lesson, you will be able to:
- Recognize the main components of empathy, such as perspective-taking and emotion recognition.
- Understand how empathy fosters deeper connections, unlike sympathy.
- Apply empathy to improve communication and resolve conflicts.
- Reflect on personal experiences to better understand emotional responses.
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- Recognize the main components of empathy, such as perspective-taking and emotion recognition.
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This lesson introduces the essential concepts of conflict resolution and mediation within educational settings, emphasizing the importance of addressing conflicts constructively to promote growth and collaboration. Students will explore how conflicts, while uncomfortable, can be opportunities for positive change. The lesson also examines the role of AI in supporting conflict resolution, offering tools such as simulations, data-driven insights, and unbiased mediation to enhance the process. While AI can provide valuable support, human empathy remains a key factor in resolving more complex disputes.
Learning Outcomes
By the end of this lesson, students will be able to:
- Define conflict, conflict resolution, and mediation and understand their relevance in educational settings.
- Recognize the benefits of addressing conflict constructively, rather than avoiding it, to foster collaboration and positive relationships.
- Understand how AI can support conflict resolution through simulations, data-driven insights, and unbiased mediation, while also identifying the limitations of AI in managing complex emotional dynamics.
- Apply mediation techniques and explore the balance between AI and human empathy in resolving educational conflicts.
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Ethical Decision-Making and Responsible Leadership
In today's rapidly evolving landscape, ethical decision-making and responsible leadership are more essential than ever, especially with the integration of Generative AI (GenAI) in higher education. This module will guide you through the complexities of ethical leadership, offering activities designed to enhance your ability to lead with integrity and responsibility.
Drawing from video resources such as Leadership in the Age of AI by Paul Hudson and Lindsay Levin, you will explore how ethical leaders create environments rooted in trust, transparency, and security. A role-playing simulation will allow you to apply these leadership principles in real-world scenarios involving GenAI in education, helping you navigate the ethical challenges associated with its use.
Through reflective discussions, you will share perspectives, challenge assumptions, and collaboratively investigate the impact of ethical decision-making on the future of education and AI.
Learning Outcomes: By the end of this lesson, you will be able to:
- Critically evaluate the role of ethical leadership in the integration of GenAI in higher education, focusing on key principles like trust, empathy, and transparency.
- Apply ethical decision-making frameworks to real-world scenarios involving GenAI, justifying your decisions using ethical leadership principles.
- Analyze the ethical challenges GenAI presents in education and produce a reflective post that integrates insights from video resources and role-play activities, while also offering constructive peer feedback.
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Welcome to this module, where we explore the intersection of Generative AI (GenAI) and well-being. As AI technologies become more integrated into education and the workplace, understanding their impact on well-being is critical. In this module, we will examine how GenAI can both enhance and challenge our mental, emotional, and physical health, and discuss ways to harness its potential for positive outcomes.
In this module, you will watch a video on GenAI and well-being, engage in hands-on activities using Generative AI to create personalized well-being plans, and participate in a discussion board to reflect on your experiences and explore the ethical and practical implications of AI in well-being.
Learning Objectives
By the end of this module, participants will be able to:
Critically evaluate the benefits and limitations of Generative AI in supporting personal well-being and resilience.
Use Generative AI tools to generate personalized well-being plans and analyze their effectiveness.
Reflect on the ethical considerations and societal impacts of AI in relation to mental health, job displacement, and social interaction.
Develop a critical awareness of the balance between AI-supported interventions and human-centered well-being strategies.
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On Day 6, you’ll focus on the importance of community in higher education, exploring how Generative AI (GenAI) can foster trust and peer support. After a lesson on community building, you’ll watch Conrad Hogg’s TED Talk, “A New Approach to Mental Health in Universities,” and complete a reflection activity with ChatGPT to create a virtual campaign promoting student well-being. Finally, share your insights in the forum and connect with peers to deepen your understanding of the impact of community on mental health.
Learning Outcomes:
- Understand the importance of community engagement and peer support in enhancing student well-being.
- Use Generative AI (GenAI) to facilitate trust-building, community connections, and peer mentoring.
- Reflect on the role of community engagement in promoting mental health.
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Make a submissionOpened: Monday, 14 October 2024, 12:00 AM
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On Day 7, you’ll explore the importance of reflection, integration, and action planning for personal and academic growth. After a lesson on these concepts, you’ll watch Stephen Duneier’s TEDx talk, “How to Set and Achieve Big Goals,” which shares strategies for breaking down big goals into manageable steps. You’ll also learn how Generative AI (GenAI) can support reflection and goal-setting. Finally, join the forum discussion to reflect on your own goal-setting experiences and collaborate with peers to deepen your understanding of action planning.
Learning Outcomes:
• Understand the importance of reflection and integration in deepening learning experiences.
• Apply action planning techniques to set clear, achievable academic or personal goals.
• Explore how Generative AI (GenAI) can support reflective practices and goal-setting.-
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