The Effects of AI on Human Learning
Optimize AI Impacts on Human Learning an Development
Decision Makers
- School Boards
- Parents
- Teacher Unions
Objectives
- To improve the ability of humans to learn more quickly at an earlier age and advance the baseline level of knowledge of societies
Deliverables
- User Interface
- A purpose built AI model trained on academic information that understands natural language and can interpret fundamental cognitive skills through speech patterns and written essays
- Publication(s) in 3*+ journals
Data Attributes
Context
- Region: North America and Europe
- Current time spent learning
- Current topics spent studying
- Current academic performance
Actions
- Gather student feedback on effectiveness of learning
- Gather student feedback on emotional state while learning
Outcomes
- Speed and quality of learning and development
- Time spent learning
- Depth and breadth of topics covered
- Grades
- STEM Skill Performance
- Critical Thinking
Data
Code
Needs
Project Summary
Tier 1
| Section |
Content |
| Project Objective |
Improve human learning and development through the utilization of AI in classrooms |
| Current Practice |
Human instructors, humans teaching humans |
| Innovation |
Using AI as a supplementary tool to teach humans. AI teaches cognitive functions while humans teach social functions |
| Stakeholders |
Students, Instructors, Parents, Schools |
| Personas |
Students, Instructors, Parents, Schools |
| Risks |
Humans exposed to AI may not learn as effectively as the well tested existing methods |
| Budget |
Unknown |
| Timeline |
Unknown |
| Data Safety |
All information will be anyonymized. No PII will be collected |
Tier 2
| Section |
Content |
| Scalable |
If successful, this can be scaled to any/all schools with access to technology |
| Measurable |
Students will be measured on their ability to perform cognitive tasks and their social skills. Cognitive tasks will weight accuracy above speed. Cognitive tasks will be represented through grades and NLP on essays. Critical thinking ability will be measured through essays. Social skills will be measured using SEL frameworks, self-report assessments, and the SSRS |
| Integratable |
Many schools already provide technology to students. The integration would come in getting school boards on board with using the technology in their classrooms |
| Repeatable |
Can be repeated as long as school boards are willing to take on the challenge |
| Standardized |
This should be standardized through a similar UI for each student to ensure a similar experience. The AI will judge success of the student through time it takes to answer and correctness of the answer and use that to move the student forward, weighting accuracy above speed. |
| Persona Needs and Goals |
It intends to help students learn more efficiently, allows instructors to focus on the human element of teaching, parents to have more successful students, and schools to have higher test scores |
| ISO Standard |
ISO 21001, ISO 29994, and ISO 29991 |
| Predictive Agent |
A higher use of AI will result in a higher cognitive test score |
| Documentation |
Pending |
| Milestones |
Pending |
Tier 3
| Section |
Content |
| Team Members |
Steven Birkinbine (Project Manager), Pending |
| Team Structure |
Flat structure with a fluid hierarchy |
| User Journey Mapping |
Pending |
| Persona Feedback |
Feedback will be gathered initially daily from students and then reduced to weekly intervals to ensure their learning needs come first |
| Volunteer Intake |
Informal. Contact Steven Birkinbine |
Discussion
Please see Discussion https://github.com/Project-Resilience/platform/discussions/77 to contribute
References
- David Game College in London, UK, opened its first teacherless classroom in September 2024
- Reference NIST AI Risk Management Framework & EU AI Act to ensure the effort complies with local laws and regulations - https://www.nist.gov/itl/ai-risk-management-framework | https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai
- The use of technology in learning is not beneficial for technology-anxious individuals - https://www.mdpi.com/2079-9292/11/22/3662
- Current AIs are not prepared to replace human educators - https://www.mdpi.com/2076-3417/13/11/6716
- Potential AI tasks include: Creating Handouts, Automated Grading, Creating Graphical or Written Materials, Functioning as a TA, Animating Motionless Pictures, Gamification of Materials, etc. - https://jai.in.ua/archive/2023/2023-2-1.pdf
- Most existing research is focused on the Cognitive Application of AI according to Blooms Taxonomy, i.e. the focus on knowledge acquisition, comprehension, analysis, and evaluation (thinking and processing) with little research in emotions, attitudes, and social skills (feelings and behaviors)
- Preliminary research into non-cognitive skills shows decreased student engagement when AI is included in the classroom, though the research was not rigorous and is in preprint - https://www.preprints.org/manuscript/202310.1741/v1
- Arizona Board greenlights AI Classroom - https://www.maginative.com/article/no-teachers-just-ai-arizona-approves-bold-new-charter-school/
