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AI+Education Summit: Questions about AI and Education


Please list 1-3 questions you have about AI in education that you would like addressed during the conference:

Future of AI in Education

  • What are some concrete ways educators and curriculum developers can evolve their respective practices to accommodate generative AI applications?
  • What is the next AI application that's going to make waves, after generative AI?
  • Where is AI going in the next five years and how will it impact teaching and learning?
  • What are some current elements in education we want to keep going forward, and how can AI tools be used to further those foundational elements? (For example, a foundational educational goal I have is that students use reading and writing as a way to think through their own personal identity and beliefs and notice and query their current world view with an eye to articulating to themselves and others how they want to live their lives and their own ethical formulation of the worthwhile life.)
  • How likely is such a future to come about, given the current status of AI development, resources needed, etc?
  • How do those in the industry envision AI will advance education most positively in 6 years and in 24 years? 
  • How can we effectively connect the world of work and world of learning in an AI-propelled future?
  • If AI becomes the principal course designer, will it limit the creativity of students who are different from the typical students in the past?

Generative AI

  • How can generative AI support feedback? 
  • How are we going to teach the value of writing as a skill if we can effectively assign the task of writing to a third party?
  • In the knowledge economy, is writing going to be a valuable skill? Is familiarity and expediency with writing AI going to replace it?
  • How and when should students cite an AI tool as a co-author?
  • How to educate and upskill student learning by harnessing new generative AI tools?
  • What are some creative ways students have been using text generation tools like Chat GPT in the classroom?
  • How do we incentivize students to approach text generation tools like Chat GPT in ways that emphasize critical thinking and analysis?
  • How should we evaluate different possible education training data to fine tune generative models on? 
  • How to best use ChatGPT or LLM?
  • How are districts and schools currently thinking about the new AI landscape and adapting to the rise in tech like ChatGPT?
  • Why has it taken 2 years for us to come around to the possibilities of GPT-3 for education? 
  • What are some interpretability of large language models and ML insights?

Ethics and Inclusionary Practices

  • How does AI application to support teachers change across different cultural contexts? What are the major challenges that school leaders and teachers are facing in low resourced settings that can be addressed with AI support tools? What are the critical blindspots within the design of existing AI technologies in education that AI developers should be aware of? 
  • What is the role of psychological science in ensuring effective and ethical uses of AI in education? How are the necessary collaborations being seeded? What is missing on both the psychological science and tech sides? 
  • What are the fail-safe mechanisms for AI in formal education? Who creates the standards for what effects and side-effects have to be proven/disproven for tech that is implemented in classrooms? Who ensures that sensitive data collected to improve learning outcomes is not misused? 
  • How do we set up “guard rails” to prevent abuse and antisocial outcomes?
  • How do we address equity, ethics, and representation in education and AI?
  •  What is the best way to make sure that AI used in an education context has access to data that is as accurate and unbiased as possible?
  • What is the best way to make sure that AI used in an education context has access to data that is as accurate and unbiased as possible?
  • How can we use AI to address major challenges in education, including issues of equity and inclusion?
  • How can we mitigate the potential negative impacts of AI on education?
  • What has to be true for AI to be accessed, experienced, and built equitably and in service of all students?
  • How will we position the latest advancements in AI to serve students from under-resourced backgrounds?
  • How is/will it be regulated to protect students, who often have no choice to opt out of product use?
  • In what ways do AI models encode the values of the relatively narrow spread of society who created it, and how do those values affect students?
  • In what ways does AI act as a neo-colonial force in the global space, enriching a powerful elite, extracting data and resources from the global south, and maintaining a status quo of capitalist inequality? What does this look like in educational applications?
  • How will student privacy be implicated with the deployment of AI in education?
  • How do we overcome language barriers?
  • How are educators to prepare for the moral implications of AI?
  • How can AI support underserved and impoverished communities where compute or even computers/internet are a challenge?
  • Will AI increase or decrease the gap between social classes as it is adopted more widely in education?
  • How do we make sure existing systems of inequality in our education system are not replicated and exacerbated by AI?
  • What are the ethical guardrails that we need to construct around the use of AI in education? 
  • Are large language models the best path forward for a form of general intelligence that can support better outcomes for students?
  • Why do we even need AI in education? Isn't it mostly an opportunity for data grabbing and surveillance?
  • What is the general level of trust with AI in the education space? How can it be made more accessible/transparent for teachers who are increasingly going to be using tools that use AI?
  • What are some concerns with ethical AI and data privacy?

Classroom Impacts

  • How do we adapt assessments of learning to account for student use of AI generated content?
  • How will AI lead to changes in K-12 education, in what students need to learn, how and where learning can take place, and the roles of students and teachers?
  • How do we ensure students are actually learning? How can we measure learning? What becomes the role of the in person educator? 
  • What are the pros and cons of individualized learning?
  • What is the ease of use for teachers? What are measurable outcomes? What is the cognitive load support for teachers?
  • How to grade students based on ethical consideration of their work?
  • Suppose humans in the future will have access to AI with the capabilities of chatGPT++: what are the most important skills for educators to teach?
  • How can we ensure that learners feel empowered in their use of AI in formal educational and everyday computing settings?

Organizational Challenges

  • How can education systems optimize for the most effective roles for human capital (e.g. teachers, mentors, coaches, leaders) given the expanding capabilities of AI, in service of meeting the needs of all students and maximizing learning and other critical development outcomes?
  • How to incorporate AI practically - what organizational changes to education would be required?
  • How to build AI education systems more quickly?
  • How can we build AI tools that are generalizable beyond the context of a specific school district?
  • What types of technological resources do schools need to work with AI, and what do the implementation gaps suggest about the areas where AI will be most effective?
  • The technologies are moving rapidly, while states, counties, districts, and schools move slowly.  How to reconcile these speeds while ensuring equitable access to emerging and promising technologies?
  • How can we help teachers see AI tools as resources for their curricula and pedagogical practices rather than as challenges they must battle?


  • What role will Big Tech play in creating AI driven productivity tools and platforms that can be embedded in/customized for education use cases vs what will education specific actors need to build for themselves?  
  • How is the collaboration between stakeholders (investors, founders, teachers) being fostered to aid effective implementation of AIED? 
  • How do differing private versus public interests of AIED stakeholders influence the companies that are being supported/funded?
  • How can not-for-profit organizations that emphasize impact be leaders in advancing AI? How can philanthropy support that?
  • Are private companies and VCs mainly funding and innovating educational AI or schools and government? 
  • How will education need to change?  Who will lead the way? Incumbents or up-starts? Government or private sector?  

Current State of AI and Education

  • What can those of us in education learn from those in other fields who are struggling with related  issues?
  • What is the role of cognitive and behavioral psychologists so far in the development of this technology?  
  • How does AI change what we teach in schools?
  • How do we best evaluate AI education systems?
  • What data schemas can we all work with, and how are they developing?
  • What stage are we at/where is it being used, or close to being implemented, currently?
  • How close are we to being able to train an AI to accurately and consistently grade student work and provide relevant feedback?
  • How did higher education respond when the calculator was invented and what can we learn from similar historical examples?
  • How close are we to being able to train an AI to design activities and lesson plans? 
  • How can we get rid of the fear of AI that many people have?
  • What surprising areas can AI impact that aren't often on people's radar?
  • To me there seems to be an association between AI in education and doing things better, faster, and bigger. I doubt that this is desirable in all cases. Can AI also help us slow down? And how?
  • What superpowers can AI give teachers...and what superpowers would teachers be better served without?
  • What are the dimensions along which we should fine-tune models? By school district? By grade level? By subject matter?

Job Market and Workforce Impacts

  • What needs to be done to introduce the workforce and parents to innovations in AI and Education? How do we avoid the challenges of much simpler innovations such as the introduction of computers and smart boards into classrooms?  
  • At the intersection of AI and Education, what areas have the strongest research foundation/evidence of improvements in education and systems outcomes? Which have the least and need to be addressed?  
  • How to design AI systems to not cause fear among teachers about being replaced?
  • How are attendees viewing the role of teachers and other educational personnel with AI in education?
  • What will be the future role of teachers? 
  • What will educators now teach students?
  • How to prepare students on the job market?

Risk Mitigation

  • How do we understand the potential and risks of AI in teaching?
  • What are the most robustly effective AI in education applications and what are the best risk mitigation strategies?
  • What are the obstacles to more students being comfortable and creative with artificial intelligence? 
  • How do we increase validity and construct coherence between ML methods and education theories?

Use Cases

  • What are some methods of AI applications for physics?
  • When you teach science to junior high school students, what are some use cases that involve AI?
  • What is the roadmap for AI innovation and use-cases?
  • What are the potential uses of AI and the future of special education?  
  • How to successfully design ambient and AR technologies to help classroom teaching?
  • How to address new exams, open book, and openAI?
  • In what ways can AI be used as a tool to support deeper engagement with topics (rather than just a shortcut to traditional learning outcomes)?
  • What tools are there that effectively track AI authorship?