AI in Education VIP Research Exchange
A collaborative knowledge base for NYU's AI in Education VIP team. Understanding, predicting, and guiding the impact of generative AI in education through four complementary research approaches.
VIP Subteams & Research Areas
Understanding, predicting, and guiding the impact of generative AI in education through four complementary research pathways:
Evaluating Tools
Understanding Users
Assessing Impacts
Innovating EdTech
Background Resources
Learning Science
Research Methods & Resources
Understanding Users Attitudes & Behaviors
These resources help us to answer questions like: How, and how much, are students and teachers using AI tools? What values, principles, and assumptions shape their engagement with AI tools?
General
General perspectives on how people perceive and interact with AI systems.
Administrators
Administrative perspectives on AI policy, implementation, and institutional change.
Students
Understanding how students perceive and use AI tools in their learning processes.
Faculty
Faculty attitudes toward AI integration and their teaching practice adaptations.
General Perspectives on AI
General perspectives on how people perceive and interact with AI systems.
Faculty Perspectives on AI
Faculty attitudes toward AI integration and their teaching practice adaptations.
Student Perspectives on AI
Understanding how students perceive and use AI tools in their learning processes.
Administrator Perspectives on AI
Administrative perspectives on AI policy, implementation, and institutional change.
No bibliography entries yet. Check back soon for resources on administrative perspectives!
Student Attitudes & Behaviors
Understanding how students perceive and use AI tools in their learning processes.
Evaluating AI Tools
These resources help us to answer questions about the capabilities of generative AI tools, which tools perform better on certain tasks, and how well AI-detection works.
Coding
Evaluating AI tools' capabilities in programming, code generation, and debugging tasks.
Creativity
Assessing AI's ability to generate creative content and support creative thinking processes.
Detection Tools
Evaluation of AI detection technologies and their effectiveness in educational contexts.
Ethics / Safety
Examining ethical considerations and safety concerns in AI tool deployment.
Equity / Social Justice
Analyzing how AI tools impact educational equity and social justice issues.
Error / Hallucination
Understanding AI errors, hallucinations, and accuracy limitations.
Reasoning
Testing AI's logical reasoning, problem-solving, and critical thinking capabilities.
Usability
Assessing user experience, interface design, and ease of use in AI tools.
Translation
Evaluating AI translation capabilities and multilingual support quality.
Detection Tools
Evaluation of AI detection technologies and their effectiveness in educational contexts.
Equity / Social Justice
Analyzing how AI tools impact educational equity and social justice issues.
Reasoning
Testing AI's logical reasoning, problem-solving, and critical thinking capabilities.
Ethics / Safety
Examining ethical considerations and safety concerns in AI tool deployment.
Usability
Assessing user experience, interface design, and ease of use in AI tools.
Coding
Evaluating AI tools' capabilities in programming, code generation, and debugging tasks.
Content in Development
VIP Evaluating Tools subteam is currently curating resources on AI coding capabilities. We welcome your contributions and findings.
Creativity
Assessing AI's ability to generate creative content and support creative thinking processes.
Content in Development
VIP Evaluating Tools subteam is currently curating resources on AI creativity and creative content generation. We welcome your contributions and findings.
Error / Hallucination
Understanding AI errors, hallucinations, and accuracy limitations.
Translation
Evaluating AI translation capabilities and multilingual support quality.
Content in Development
VIP Evaluating Tools subteam is currently curating resources on AI translation capabilities. We welcome your contributions and findings.
Assessing Impacts
Research on current and likely risks and benefits of AI on student learning through technological assessments.
Learning Outcomes
Measuring how AI tools affect student learning, comprehension, and skill development.
Academic Integrity
Assessment of AI's effect on academic honesty and institutional integrity measures.
Assessment Validity
How AI tools impact the reliability and validity of educational assessments and grading practices.
Student Experience + Wellbeing
Impact of AI on student stress, motivation, confidence, and overall educational experience.
Equity + Access
How AI tools affect educational equity and access across different student populations.
Learning Outcomes
Measuring how AI tools affect student learning, comprehension, and skill development.
Innovating EdTech
These resources help us to answer questions like: What gaps exist in the education marketplace? What teaching and learning tools are absent, inadequate, or insufficient? How might we innovate to fill those gaps?
AI Tutoring & Learning Support
Tools that act as instructors, mentors, or study aids including tutorbots, homework helpers, and adaptive learning systems.
Writing & Content Generation Tools
Tools that help students create or refine text and media, including writing assistants and translation tools.
Detection & Academic Integrity Tools
Tools that monitor or verify the authenticity of work, including AI-writing detectors and plagiarism checkers.
Organizational & Productivity Tools
Tools that structure learning and manage large projects, such as note-taking and research assistants.
Feedback & Assessment Tools
AI that evaluates or comments on student work, including automated grading and feedback generators.
Accessibility & Inclusion Tools
AI that expands educational access through speech-to-text, captioning, and assistive technologies.
Classroom & Learning Analytics
AI systems that track and interpret educational activity, including analytics dashboards and early warning systems.
Scheduling
Tools that facilitate appointment and meeting scheduling for educational contexts.
Prototype Development
Creating and iterating on educational technology prototypes that leverage AI.
AI Tutoring & Learning Support
Tools that act as instructors, mentors, or study aids including tutorbots, homework helpers, and adaptive learning systems.
Feedback & Assessment Tools
AI that evaluates or comments on student work, including automated grading and feedback generators.
Organizational & Productivity Tools
Tools that structure learning and manage large projects, such as note-taking and research assistants.
Writing & Content Generation Tools
Tools that help students create or refine text and media, including writing assistants and translation tools.
Content in Development
We're curating resources on AI writing and content generation tools. Share your findings and research!
Detection & Academic Integrity Tools
Tools that monitor or verify the authenticity of work, including AI-writing detectors and plagiarism checkers.
Content in Development
We're collecting research on AI detection and academic integrity tools. Contribute your insights!
Accessibility & Inclusion Tools
AI that expands educational access through speech-to-text, captioning, and assistive technologies.
Content in Development
We're gathering research on AI accessibility and inclusion tools. Share your knowledge!
Classroom & Learning Analytics
AI systems that track and interpret educational activity, including analytics dashboards and early warning systems.
Content in Development
We're compiling research on learning analytics and classroom data systems. Contribute your findings!
Scheduling
Tools that facilitate appointment and meeting scheduling for educational contexts.
Content in Development
We're collecting resources on AI-powered scheduling tools for education. Share your insights!
Faculty Perspectives
Faculty attitudes toward AI integration and their teaching practice adaptations.
Content in Development
VIP Understanding Users subteam is currently curating resources for this research area. We welcome your contributions and findings.
Administrator Views
Administrative perspectives on AI policy, implementation, and institutional change.
Content in Development
VIP Understanding Users subteam is currently curating resources for this research area. We welcome your contributions and findings.
AI Competencies & Literacy
Assessment of AI literacy levels and competency development across user groups.
GenAI Tool Capabilities
Assessment of what current generative AI tools can and cannot do for education.
Tool Limitations & Biases
Understanding the constraints, biases, and failure modes of AI educational tools.
Comparative Tool Analysis
Side-by-side comparisons of different AI tools for specific educational tasks.
Content in Development
VIP Evaluating Tools subteam is currently curating comparative studies. We welcome your tool evaluation research and findings.
Academic Integrity
Assessment of AI's effect on academic honesty and institutional integrity measures.
Assessment Validity
How AI tools impact the reliability and validity of educational assessments and grading practices.
Student Experience + Wellbeing
Impact of AI on student stress, motivation, confidence, and overall educational experience.
Equity & Access Issues
How AI tools affect educational equity and access across different student populations.
User Testing & Feedback
Methods for testing educational prototypes with real users and gathering feedback.
Integration Strategies
Approaches for integrating new AI technologies into existing educational systems.
Content in Development
VIP Innovating EdTech subteam is currently curating integration methodologies. We welcome your implementation research and case studies.
Scalability Assessment
Evaluating the potential for scaling educational technology innovations.
Research Methods & Resources
These sources will help you identify a research gap, design appropriate research methodologies, interpret your findings, and find publication in a peer-reviewed journal.
Literature Review Methods
Systematic approaches to finding, evaluating, and synthesizing existing research in AI education.
Collaborative Research
Best practices for team-based research, project management, and interdisciplinary collaboration.
Experimental Design
Methods for designing controlled studies to test AI tool effectiveness and educational interventions.
Survey Design & Analysis
Best practices for creating effective surveys and analyzing quantitative data in educational research.
Interview & Focus Group Methods
Techniques for conducting qualitative interviews and focus groups with students, faculty, and administrators.
Data Analysis Techniques
Statistical and qualitative analysis methods for educational research data and findings interpretation.
Research Ethics & IRB
Ethical considerations and IRB approval processes for educational research involving human subjects.
Academic Writing & Publication
Guidelines for writing research papers, conference presentations, and academic publications.
Learning Science
Research on the cognitive, psychological, and pedagogical foundations of learning with AI tools.
Writing & Composition
Cognitive and developmental theories of writing processes and instruction.
Cognitive Science
Research on cognitive load, memory, creativity, and learning processes.
Reading & Literacy
Deep reading, textual interpretation, and the ethics of literary engagement.
Educational Philosophy
Philosophical foundations of education, purpose, measurement, and teacher agency.
AI/ML Foundations
Technical foundations of AI and machine learning relevant to education.
Writing & Composition
Cognitive and developmental theories of writing processes and instruction.
Cognitive Science
Research on cognitive load, memory, creativity, and learning processes.
Reading & Literacy
Deep reading, textual interpretation, and the ethics of literary engagement.
Educational Philosophy
Philosophical foundations of education, purpose, measurement, and teacher agency.
AI/ML Foundations
Technical foundations of AI and machine learning relevant to education.
Our Team
Our VIP team is composed of dedicated students and faculty contributing to AI in Education research.