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Welcome Team Yellow! This is the home for your final report. Once complete, please erase this copy block and the Timer. 60 mins! GO!
The big idea “What if?”
Please use this page and its sections to summarize one Team's solution to a problem/challenge. This can be short paragraphs, bullets, sketches, etc. that provide a high-level overview of the product, idea, project, or concept. The purpose of this final report is to quickly and concisely communicate the main points to a reader.
Please take your time to craft a clear and compelling summary.
Opportunity
The problem
“I don’t see how school helps me with what I’ll be doing in my career, in my community, and I’m bored.”
Student have little agency in their learning and hence lack a sense of purpose and motivation.
The solution
“I have a way to express what it is that I want in my education and direct how the system helps me get there and why.”
Our idea is to have an AI-driven pathway that helps students navigate to where they want to be (factoring in career interests or other aspirations) based on where they are now. Along the pathway from points A to Z, the interface weaves in not only core curricular inputs but also community-based options, internships, and mentors to enrich the experience and give the student better information as to whether this is a path they want to stay on or remix as they learn more.
Outputs: Knowledge, skills, experiences and relationships
- Classes, experiences, skills, competencies required to get you to there.
- Community projects that you can get involved in.
- Support network/mentors that you can connect with
Principles:
- Incorporate systematic breadth while simultaneously very good at creating a personalized path
- Build Measure Learn Framework
- Thematically smart, geographically smart (locally rooted), developmentally smart
Product
How might we create more meaningful experiences for students that allow them to enact their purpose in the world?
There are two main views in the MVP:
(1) Conversational view with a bot
(2) Immersive pathway experience
In the first, the students has a conversation with a bot designed to both draw out where their career aspirations may be and also shed light on adjacent opportunities. (”Ah, so you’re interested in being an astronaut. A few other careers to keep in mind are computer and mechanical engineering, which are increasingly important as space exploration becomes more drone-based.”)
In the second, the platform displays a pathway of opportunities to reach those career aspirations. This would include:
- core HS curriculum (formal learning)
- community opportunities
- relationships/mentors
- adjacent learning (informal learning)
Consider this less a linear pathway and more a choose-your-own-adventure; as the student gets their feet wet with experiences, they can stay the course or adapt/remix the path based on what they’re liking (or not liking).
Path to Outcome:
- Entry. Bot gets to know the student → offers options → student samples options → system challenges the thinking/notion the students have → offers insights on the suggested options → recursive (takes grades and other performance indicators into account)
- Exposure and reporting back. Student analyzes pathway inputs → Helps the student understand and care deeply about something that is also of consequence to the world around them + purpose statement) → Student informs bot as they are exposed to different pathway inputs what’s working well and what’s not
- Feedback and adaptation. Bot checks in with student, interprets which experiences are working well and which aren’t and suggests alternative pathways (think Netflix’s thumbs-up/thumbs down ranking system to help inform recommended shows)
- Measurement of efficacy and effectiveness
- Engagement
- Time spent fine-tuning interests with bot
- Time spent / # of clicks exploring pathways
- Student accepts “missions” with mentors, community opportunities, etc
- Persistence
- Student reports progress on exposure and exploration to pathway opportunities
- Student checks back in with the bot to report in and adapt path
- Resources
- Discuss the team, technology and other inputs required to make this happen.
- (Didn’t get to this)
Ethical Considerations & Risks
Use this block to share more about what we should address before launching this solution, both ethically and morally. Responsible technology begins with acknowledging technology is not inherently neutral. We need to deliberately consider all the potential impacts, good and bad, direct and indirect, that a solution that involves technology can create.
Responsible tech
Who else needs to be at the table to validate the efficacy of the solution?
Schools/Comm
- Parents
- Students from really diverse backgrounds; different localities
- Young adults who recently entered the workforce in a variety of career pathways
- Leadership of public school systems and meaningful representation from charter/parochial schools
- Advisers who represent student mental health and adolescent development
- Out-of-school-time learning organizations
Workforce/Gov
- Reps from higher education and CTE
- Community reps
- Local workforce dev leadership
- State and federal representation
- People with knowledge of workforce needs/gaps and funding streams
Data privacy concerns
- For students, assume transparency with the schools, but strategically layer in privacy access for mentors, community partners, and other external actors
- Integrate permissioning structure for varied access across audiences (parents, mentors, community partners, employers/internships)
- Have ability to generate a custom report/resume from the platform so that external actors don’t need access to sensitive information to see considerations most relevant to them
- Consider private layers that parents don’t have access to (safe space for student), with embedded protective measures.
- Detailed agreements to protect student information, esp. as it relates to mental health
Ethical considerations or biases that need to be raised
- Personal economic need of individual students/families-
- the pressure to be funneled into a specific money making career
- the need to make money now not just after high school or after college
- Danger of dampening student ambitions if the bot goes “rogue”
- What are the worst-case scenarios if this solution is developed?
- Perception vs reality - feeding labor market needs vs honoring student ambition
Technical risks
Data challenges
- Student data generated by the school but data that would allow visualization of student options would have to be sourced externally; could be very challenging
Potential bottlenecks
- Finding the right site
- Access to massive data sources, both local and remote local
- Predictive power on adolescent and developmental needs
- getting students through high school safely and strong
- visualization Style and creative direction should be controversial and appealing to an adolescent audience
Landscape & Rollout Model
- Position
- Current market trends the solution is capitalizing on
- The idea of pathways is trending, especially in line with the rise of vocational learning — all about rethinking traditional pathways.
- There are 20-25 college and career readiness platforms. Most schools use Naviance (college and career readiness app) - used by 50% of U.S. high schools, which has big market share but focuses on trad’l pathways.
- How this product differentiates:
- Career pathway exploration should start in middle school: It’s about making temporary choices in an effort to preserve and expand their future possibility.
- Include non-traditional post-secondary pathways (vocational, entrepreneurial)
- Localized (geographically relevant, rooted in community opportunities) and personalized
- Total addressable market
- Who does the solution serve and how big is that population?
- High school students plus maybe middle schoolers and up to age 21 (~30M)
- Focus on U.S.-based to start
- Who are the other potential stakeholders who will interact with or be affected by the solution and how big is that population?
- Districts: Focus on student post-secondary outcomes and pitch why this can change the trajectory
- Parents: Need their buy-in; maybe also can log in to see progress (but there are helicopter parents and disengaged parents)
- Needs good financial aid
- Distribution Plan
- Small scale (1 school) then expand
- Leverage tools they already use like text message and email, more conversational
- Make it local and school-specific so it recommends relevant options
- Possibly needs a new school network around it, to integrate into so it’s vertically integrated
- Demonstration site to help other schools imagine it and learn how to implement it
Appendix
- References
- Embark: they organize community opportunities for students, they made a CSV and ran it through a chat bot
- Acknowledgments
- Glossary of terms
- Academic papers
- Educational toolkits
- Code repositories (if applicable)
OPTIONAL EXERCISE: Building with Measurement and Efficacy: Guiding the Implementation of AI in Evidence-based Educational Solutions
Aiming to strike a balance between fostering efficacy and ensuring agility in the development cycle of potential software innovations, this exercise invites participants to foresee and strategize the integration of efficacy-boosting tactics, all without curbing innovation or overtaxing resources.
Measuring Your Innovation's Effectiveness
Keep the learning objectives of your innovation forefront during this exercise. Embracing responsible design requires pinpointing and evaluating the elements of your innovation set for testing. Below is a template illustrating how to align your objectives with measures of effectiveness, steering towards responsible design and continuous refinement.
Provocations for reflection: What metrics will inform the effectiveness? How will you collect and interpret data to infer effectiveness?
Exercise:
1. NEAR TERM Efficacy Objective Identification:
What specific outputs do you plan to track and measure in the short term to evaluate the progress and success of your innovation during the immediate period (within 3-6 months of deployment)?
For all intents and purposes of this exercise, we define an "output" as the immediate results of an innovation’s activities, tasks, and actions. Output metrics are specific, measurable, and tangible.
Propose meaningful metrics that you can reasonably achieve and are ready to be held accountable for.
- Purpose: To identify the key efficacy objectives, propose functions to achieve them, and determine the frequency of these functions."
SHORT TERM | ||
Activity associated to Output | Output Metric (objective) | Output Target (unit or %) |
Type here! | Type here! | Type here! |
2. MEDIUM-LONG TERM Efficacy Objective Identification:
What medium- to long-term outcomes do you anticipate your innovation delivering for learners beyond in the medium term (within 9-18 months of deployment)?
How do you plan to measure and evaluate these intended outcomes to track the success and impact of your innovation over time? This exercise defines "outcome" as the specific and measurable changes, effects, or benefits that will result from the implementation of your innovation. Within this theme, focus on how your innovation will build toward your GOALS! This will be specific to the project, but for example, you could inquire about how to measure the tool's impact on career path selection or describe how it will help learners develop self-efficacy in relation to educational and career goals.
Propose meaningful metrics that you can reasonably achieve and are ready to be held accountable for.
- Purpose: To identify the key efficacy objectives, propose functions to achieve them, and determine the frequency of these functions.
MEDIUM TERM | ||
Activity associated to Output | Output Metric (objective) | Output Target (unit or %) |
Type here! | Type here! | Type here! |
