AI+Education: How Can AI Help Education?

Equity: 

• Create more equity
• Reduce educators' prejudices that affect grading 
• Further socio-economic inequity
• Democratizing access to learning
• Equity in written output for some students with disabilities
• Accessibility and equable opportunities to learn and participate in AI development for all students
• Equality in education
• More equitable learning opportunities; better augmenting human intelligence
• Can AI be harnessed to help meaningfully grade student work to make teachers more efficient and consistent
• Improving equity in teachers' treatment of students

Accessibility: 

• More accessible and transparent human-computer interfaces built upon AI-powered speech recognition (and translation where needed)
• Improving the learning experience of students with various learning challenges
• Inequity in access to high quality teaching and learning 
• Inequity of access to education 
• Lowering the barrier of entry to fields of knowledge that require lots of prerequisite knowledge, iteration over time, and/or access to an expert
• Accessibility and equable opportunities to learn and participate in AI development for all students
• Accelerate learning opportunities and success for students
• Helping prepare disadvantaged learners for their school day (conversation, meditation, etc). For learners from difficult home situations, just arriving at school ready to learn is a huge challenge
• Access to good education resources for all students.
• Potentially help students with sentence-level writing, especially ESL students
• Access to high-quality tutoring 
• Cost and access to a diverse range of topics 
• Democratizing access to learning

Assessment/feedback: 

• Assessment of child/student development
• AI can help generate and grade high value, localized assessments
• Objectivity in student assessment
• Helping instructors to give feedback on student work
• Provision of information and advice to parents and caregivers
• Assessment of child outcomes
• Developing rigorous evaluation skills in young readers and media consumers about veracity, logic, and trust
• Improve teacher feedback to students
• Providing feedback on projects at scale
• Emphasis on measurement over feedback and learning
• Better assessing individual strengths
• Providing students with personalized learning opportunities, diagnosing interests and challenges, and providing feedback and opportunities to learn aligned to those
• More comprehensive assessment for learning 
• Lack of standards

Personalization: 

• Differentiation of instruction to address specific student challenges that enable accelerated learning.  
• Individualized Learning
• How can we support students who have different learning styles/needs, students who can be neurodivergent where regular classroom teaching will not benefit them
• Can customized learning experiences be generated by AI that most help individual learners
• Tailored education 
• AI can improve and customize personalized training based on students' experiences and responses more efficiently and effectively
• Better surfacing of the right instructional experiences for each learner
• Inability to effectively individualize instruction for all students
• Lack of personalization of education content
• Learning currently for the common denominator 
• Top performing students are not challenged enough, while poor performing students are too challenged 
• More personalized support
• Providing students with personalized learning opportunities, diagnosing interests and challenges, and providing feedback and opportunities to learn aligned to those
• Personalized feedback
• Capacity to cater to various levels of student engagement 
• Analyzing data and providing individual assignments.
• Customize and personalize learning
•  Increased personalization of individual learning paths, including recommendations for source materials that are both accurate and fit the learn’s preferred media types (article, book, interview, etc)
• Improvements to adaptive learning and differentiated instruction
• Personal action suggestions
• Designing individual curricula
• Offering custom feedback at scale
• Giving student extra practice that is targeted to their current skill level
• Providing students with personalized learning opportunities, diagnosing interests and challenges, and providing feedback and opportunities to learn aligned to those

Support: 

• Providing teachers in under-resourced settings with tools to support teaching prep
• Finding good tutors
• Personalized or focused coaching and professional learning for teachers.
• Identifying timely interventions to support students in need
• Facilitating thinking/organizing process
• Teacher training
• Provide additional support to teachers and students 
• Support teachers in better supporting their students.  Can AI grade?  Give feedback?  Support lesson planning?  Identify students who are struggling?  Explain challenging concepts to students?  The role of the teacher is complex and challenging, and AI can help teachers manage their workstream to be able to focus on what they do best?
• Impact on teachers
• Supporting Teachers
• Support homework assignments

Predicting: 

• Predicting how and when students need support beyond what we are currently able to do.
• Attendance/absence prediction 
• Identifying students at risk for mental health issues.
• Behavioral biometrics to understand and categorize levels of comprehension 
• Pattern recognition across a large body of work (building on existing digital humanities work)

Engagement: 

• Increase engagement
• Nudge students to ask more questions
• Spark interests and creativity: allows students to have a more fun, engaging experience, and encourage and support creativity
• Pivoting the creative thinking process in quick and precise ways to keep learners engaged
• Make it easier to create communities of learners
• Student agency & motivation
• Causing students to be more engaged in learning
• Creating new and dynamic ways for students to interact with content\
• Help motivate student
• Providing an immersive, interactive learning environment 
• Engaging learners of all ages worldwide for wellbeing across the lifespan 

Classroom Improvement: 

• Needed improvements in classroom approaches and pedagogies
• Lesson plans and teaching strategies that meet the needs of all learners in a classroom
• Scaling up good teaching practices 
• Improving teacher working conditions and enabling teachers to be more effective.
• Rapid prototyping of storyboards
• Anatomical and functional diagrams of systems
• Tables of information and generally making more human readable data through visualizations
• Quality of feedback students receive
• Improving application of learning science theories
• Updating our education system to prepare students for the world in which they will live
• Training teachers
• Enabling teachers and other adults in the classroom to do what they do best
• Providing feedback to students and teachers; inspiring creativity and connection among students
• High quality updated curriculum
• Improving education institutions organizationally

Other: 

• Dropout rate
• How to take advantage of the power of AI while minimizing the challenges such as ensuring students write their own papers. 
• Overall, I think AI has the potential to address a range of challenges in teaching and learning of reading and writing. I'm very excited about the possibilities (but concerned, too). 
• Informal education credentialing - AI can help find pathways for curiosity to translate into workforce credentials
• Data transparency - school districts seem to have poor visibility into their data and the insights it can provide
• Cheating/plagiarism
• More quasi-teacher
• Ability to help students develop self-regulated learning skills
• Better feedback loop for architects or engineers on their design and analysis. 
• Sketch to 3D conversion for better design
• Scaling high quality personalized education to millions of students around the world
• Drafting communication documents of all kinds, but technical, legal, and scientific summaries in particular
• In project-based learning, helping students envision the outcome of a project before they have the skills to actually do it (for example, a piece of art they want to create)
• Overcoming barriers to getting started on something (i.e. writer's block, lack of motivation, uncertainty)
• Augmenting student focus on authenticity in writing instead of "playing the game"