Participate and share: Poster 
The proposal outlines my presentation highlighting the transformative potential of the HAIL (Human-AI Learning) Model, a pioneering approach for harmonizing AI and human facets in education. Grounded in extensive research, this session aims to demonstrate how AI can be utilized as a tool, rather than a teacher, ensuring that the human spirit remains at the heart of the teaching and learning process.
The core purpose of this presentation is to immerse educators in the nuances of the HAIL model. By session's end, participants will:
Recognize the importance of fostering human connections in AI-infused classrooms.
Discern how AI can amplify traditional pedagogical methods.
Be adept in the selection and effective utilization of AI tools.
Grasp strategies for constructing a human-centric, AI-supported learning community.
Educational Challenge: Navigating the overlap between human connections and AI in the contemporary classroom.
Technology Intervention: Emphasis on the HAIL model's components: Humanize, Augment, Integrate, and Leverage.
Models Employed: The HAIL model, structured to synergize human-driven pedagogical strategies with AI tools.
Lesson Plans or Activities: Interactive discussions on humanizing AI-driven lessons, workshops on AI tool integration, and hands-on activities emphasizing AI's augmentative potential.
Evidence of Success: Preliminary application of the HAIL model components in select educational settings has shown enhanced student-teacher interactions and improved learning outcomes.
Introduction & Background - The fusion of humanity and AI in education. (10 mins)
Humanize - Strategies to nurture human bonds in AI-supported classrooms. (10 mins)
Augment - Ways in which AI boosts conventional teaching. (15 mins)
Integrate - Guidelines on AI tool selection and effective implementation. (15 mins)
Leverage - Constructing a human-focused, AI-augmented learning environment. (15 mins)
Practical Applications - Real-world examples of the HAIL model in action. (20 mins)
Q&A Session (15 mins)
Process: Incorporation of peer-to-peer interaction for discussions, scenario-based simulations to understand practical applications, and device-based activities for hands-on exploration of AI tools.
Luckin, R. (2017). Towards artificial intelligence-based assessment systems. Nature Human Behaviour, 1(3), 1-3.
Synopsis: This article discusses the prospects of using AI-driven assessment systems in education and how they can be designed to complement human evaluation techniques.
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 39.
Synopsis: The research reviews AI applications in higher education and questions the notable absence of educators in many of these AI-driven initiatives.
Blikstein, P. (2015). Computationally enhanced toolkits for children: Historical review and a framework for future design. Foundations and Trends® in Human–Computer Interaction, 9(1), 1-68.
Synopsis: This work explores the historical perspective on tools enhanced by computational abilities, offering insights into AI integration for educational purposes.
Holstein, K., McLaren, B. M., & Aleven, V. (2018). Student learning benefits of a mixed-reality teacher awareness tool in AI-enhanced classrooms. Proceedings of the 19th International Conference on Artificial Intelligence in Education.
Synopsis: Research on the development and deployment of a mixed-reality tool to assist teachers in AI-enhanced classrooms, shedding light on the effective human-AI collaborations in learning environments.
Roll, I., & Wylie, R. (2016). Evolution and revolution in artificial intelligence in education. International Journal of Artificial Intelligence in Education, 26(2), 582-599.
Synopsis: This article gives an overview of the history and potential future trajectories of AI in education, considering the human element in these evolutions.
Dillenbourg, P. (2016). The evolution of research on digital education. International Journal of Artificial Intelligence in Education, 26(2), 544-560.
Synopsis: An overview of the evolution of research in digital education, highlighting moments where AI and human interactions have been pivotal.
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