Learn with AI

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Walter WaKa
Project Owner

Learn with AI

Funding Awarded

$5,000 USD

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Status

  • Overall Status

    🛠️ In Progress

  • Funding Transfered

    $0 USD

  • Max Funding Amount

    $5,000 USD

Funding Schedule

View Milestones
Milestone Release 1
 $2,000 USD Pending TBD
Milestone Release 2
 $3,000 USD Pending TBD

Project AI Services

No Service Available

Overview

The human ability to learn throughout our lives may be our most important feature as a species. Yet, learning is a deeply individual process, and we learn best in an interaction with a personal tutor or within a peer group.
Recent rapid advances in AI, particularly the multi-modal generative capability, promise to uncover entirely new ways of human learning and also to assist existing approaches to education with content creation and personalization, and with deep lesson plan customization. We aim to identify and validate specific teaching techniques and to prototype incremental interface and analysis solutions leveraging generative AI, focusing on those with the highest immediate impact.

Proposal Description

Our Team

The proposer and colleagues from the Ambassador Education Guild are a diverse group of motivated individuals. We span generations and continents and possess research, management, development, and design skills.  We have a history of working together and staying on-task, in this demanding remote-only environment.

Eager to make steady progress, we welcome broad participation and ongoing collaboration, committed to building a better future together.

View Team

Company Name (if applicable)

LearnWithAI

Please explain how this future proposal will help our decentralized AI platform grow and how this ideation phase will contribute to that proposal.

Based on the outcomes of this ideation phase, we will sort and prioritize the feature set for the development of Learn with AI online service. Resulting software libraries and modules will be accessible via a REST API, hosted by the Singularity NET Marketplace.

Clarify what outcomes (if any) will stop you from submitting a complete proposal in the next round.

We are convinced that present and upcoming AI technologies are directly applicable to new and innovative methods for learning and education. Of course, we look forward to a favorable reception of these concepts by the SingularityNET ecosystem members and the Deep Funding organizers and participants. Yet, these assumptions will have to be validated during the selection and implementation phases of this proposal.

The core problem we are aiming to solve

Learning includes knowledge and skill acquisition, but also personality development, and acquiring the worldview and the historical perspective to become a successful member of our society, ready and able to support worthy causes and to affect meaningful change.

In the current post-industrial and rapidly mutating environment, the ability to learn and adapt positively may well be the most important trait of an individual.  The established educational methods and institutions are antiquated, and the consensus on their inadequacy is century-long and pervasive. Yet, we continue to struggle as learners and as educators.

New approaches are way overdue, and AI may offer strong opportunities.

Our specific solution to this problem

We propose looking for methods to assess and evolve a set of interactive teaching approaches crafted for the individual student, meeting them where they are at and allowing them to learn by doing. The assessments will be outcome-based and the approaches rooted in established research. The goal is to offer personalized, customized, widely varied, on-demand learning experiences. These will cater to the individual learning styles and cognitive modes. A personalized reward system based on student motivational preferences will support an engaging environment.

In addition to tracking fine-grain computer interactions, the assessments will based on self-reported student experiences and impressions. We will continually ask and listen deeply to what they want to learn and how, and which support and guardrails they would prefer. The primary learning modality will involve knowledge transfer and skill development through computer interactions, trialing various methods including Project-Based Learning (PBL).

The outcomes of this investigation will be presented in a report, including qualitative and quantitative findings, as well as interaction captures and supporting charts and diagrams. This report will form the basis for follow-on initiatives and will lead to proposals based on the findings. The prevalent modality will be knowledge and skill transfer through computer interactions, using a range of techniques including Project-Based Learning (PBL).

Project details

Sustained individual ability to learn is incredibly significant. But the centuries-old methods of imparting education have been failing. An educator lecturing at a sizable group of boisterous youths, according to an approved lesson plan and in a language a generation or more out-of-date, has little chance of maintaining their attention and imparting much-needed knowledge.  It's a given that the teaching process benefits greatly from individual attention, or when delivered in a very small group. However, prevalent socio-economic and demographic factors maintain student-teacher ratios at 20 to 40, inevitably making the learners with abilities notably above or below average underserved.

Much actual learning takes place within respective peer groups, between more senior and junior members, with developmental level or age differential of only a few years. Sophisticated educators occasionally combine classes four grade levels apart, with amazing results, but the technique remains highly experimental.

Technology has long been expected to make profound changes in education, with broad applications going back at least 50 years, to the founding of Apple Computers in 1976. Despite some improvements, the overall progress in the outcomes of institutionalized education is largely underwhelming, with some even claiming that average educational attainment at given grade levels has been declining for decades.

This is not surprising if a computer screen and keyboard only act as an alternative delivery mechanism for the same teaching approaches. We take for granted that individuals with physical limitations or neurological differences require alternative methods of information delivery and an adapted curriculum. It is not a major leap to posit that every learner would benefit from highly individualized educational content and personalized presentation and sequencing.

Educators speak of various learning styles, mentioning visual and tactile, as different from text or speech-based. The differences likely go way beyond the sensory perceptions, rooted in personal cognitive patterns and individual memory formation. The educator profession may have self-selected based on personal successes with structured text-based knowledge acquisition. However, these traits may not be shared by the majority of our population, creating a systemic barrier of inability to relate between a typical teacher and a common student.

Attention and engagement are indispensable during learning, which requires the interaction to be personally meaningful, accessible, and directly impactful. Motivational structures vary widely between individuals, often described as intrinsic or extrinsic, or due to some internal enjoyment vs. externally introduced or imposed differentials in tangible outcomes. Another limiting perspective, it does not differentiate sufficiently between fungible rewards and socially-mediated approval patterns. Also, individuals react differently to opportunities for organizing their environment, completing patterns, solving puzzles, engaging creatively, or expressing themselves through role-play. People in the business of fun personal engagement craft games that are addictive, and in aggregate offer a wide range of entertainment activities to suit all the different tastes.

Though common techniques of Gamification can play a role, we posit that individuals want to select the reward systems to suit their sensibilities and the underlying motivational structures. Gaining some points or badges for completing tasks, possibly displayed on some leaderboards, could feel demeaning or exploitative to some. Types and styles of tracking and reporting back effort, engagement, and accomplishments should be personalized to encourage further participation.

Some sports competitors demonstrate their very peak performance during practice, while others improve under pressure and achieve their best-ever results during important competitions. This suggests that the established practice of separating teaching and testing may not be a universal fit. 

The recent advancements in AI, especially in multi-modal generative capabilities, hold the promise of revolutionizing human learning. These advancements can support existing approaches by personalizing content and lesson plans. The goal is to identify and validate specific teaching techniques and develop interface and analysis solutions using generative AI to have the highest immediate impact.

Additional links

The proposal text and image prompt available for comment

Suggestions are much appreciated!

 

Personalized Education

Udemy

Amazon

OpenAI and Khan Academy

Salman Khan book

Activity Summary

Milestones

2

Total

Discussion

3

Total Comments

Reviews

10

Total Posted

Project Team

1

Total People

Proposal Video

Placeholder for Spotlight Day Pitch-presentations. Video's will be added by the DF team when available.

  • Total Milestones

    2

  • Total Budget

    $5,000 USD

  • Last Updated

    19 Aug 2024

Milestone 1 - Field Research

Status
😐 Not Started
Description

Identify key areas of customization and personalization of educational content and presentation techniques. Review common and innovative interaction and learning progress assessment techniques including automated self-reported and recorded by a 3rd party. Use literature search interviews with subject area experts and surveys of a diverse learner population. Collect common educator and learner concerns and anecdotal examples of failure modes. Consistently maintain student perspective.

Deliverables

Investigations surveys interview notes and discussion records collated and cross-referenced.

Budget

$2,000 USD

Link URL

Milestone 2 - Analysis and Report

Status
😐 Not Started
Description

Collected results will be analyzed hypothesis formulated and cross-checked and findings discussed by the team and reviewed with learners. A report will be drafted to present qualitative and quantitative findings and resulting learnings. These will be the basis for formulating a prioritized list of functions and features for future implementation.

Deliverables

A comprehensive report with the outcomes of the investigation including qualitative and quantitative findings and recommendations.

Budget

$3,000 USD

Link URL

Join the Discussion (3)

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3 Comments
  • 0
    commentator-avatar
    Emotublockchain
    Jun 10, 2024 | 5:28 AM

    How would you measure and validate the effectiveness of AI driven personalized learning approaches compared to traditional educational methods?

  • 0
    commentator-avatar
    nwobodojerry
    Jun 10, 2024 | 5:24 AM

    Amazing product and would be glad to collaborate. What measures have you planned to address the potential biases in AI-generated educational content and ensure that the personalized learning experiences are equitable and inclusive for all students, regardless of their background or learning needs?

  • 0
    commentator-avatar
    CLEMENT
    Jun 1, 2024 | 2:14 PM

    This great.  Learn With AI represents a significant advancement in the field of AI-driven education and has the potential to make a meaningful impact on the SNET AI Marketplace ecosystem.    

Reviews & Rating

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10 ratings
  • 0
    user-icon
    mivh1892
    May 23, 2024 | 12:54 PM

    Overall

    4

    • Feasibility 4
    • Viability 4
    • Desirabilty 4
    • Usefulness 4
    Personalized Learning AI

    The proposal has a strong foundation but needs further development to address feasibility, viability, and desirability aspects. It would benefit from a more detailed plan outlining the specific AI functionalities, target market, business model, and user research.

    Feasibility

    • Technical Feasibility: The project relies on recent advancements in AI, particularly multi-modal generative capabilities. While AI is rapidly evolving, it's important to consider the specific capabilities needed and ensure they are within the realm of current or near-future technological possibilities.
    • Resource Feasibility: The proposal mentions a diverse team with research, management, development, and design skills. However, it doesn't detail the specific expertise required for AI development and integration into the learning platform.

    Viability

    • Market Viability: The education sector is vast and there's a clear need for personalized learning solutions. However, the proposal needs to address the target market (e.g., K-12, higher education, corporate training) and how it will compete with existing personalized learning platforms.
    • Business Viability: The proposal mentions leveraging generative AI to create a personalized learning experience. It's unclear how this will be monetized. A business model that outlines revenue streams and cost structure is necessary.

    Desirability

    • User Desirability: The proposal acknowledges the need for personalized learning experiences. However, it needs to delve deeper into user research to understand the specific needs and preferences of learners and educators.
    • Stakeholder Desirability: The proposal mentions the SingularityNET ecosystem and Deep Funding participants. It would be beneficial to consider the interests of other stakeholders, such as educational institutions, parents, and policymakers.

    Usefulness

    • Alignment with educational goals: The proposal emphasizes the importance of personalization but doesn't specify how it aligns with established learning objectives and curriculum standards.
    • Impact on learners: The proposal mentions creating a personalized learning experience that caters to individual learning styles. It would be beneficial to outline how this will improve learning outcomes and address the needs of diverse learners.

  • 0
    user-icon
    Tu Nguyen
    May 31, 2024 | 9:44 AM

    Overall

    4

    • Feasibility 4
    • Viability 4
    • Desirabilty 4
    • Usefulness 4
    Learn With AI

    The problem this proposal raises is that established educational methods and institutions are outdated, and the consensus about their inadequacy is widespread and has persisted for centuries. This proposal has the idea of ​​finding methods to evaluate and develop a set of interactive teaching methods created for individual students, meeting their needs and allowing them to learn by doing. .
    Personal opinion: They should determine the start and end times of milestones.

  • 0
    user-icon
    Ayo OluAyoola
    Jun 10, 2024 | 4:40 AM

    Overall

    4

    • Feasibility 4
    • Viability 4
    • Desirabilty 4
    • Usefulness 5
    Personalized Learning Powered by Generative AI

    This proposal explores the ideation phase for LearnWithAI, a personalized learning platform leveraging generative AI.

    The Vision:

    • Develop an engaging and effective platform that tailors learning experiences to individual needs and styles.

    Strengths:

    • Addresses the growing demand for personalized learning solutions.
    • Explores cutting-edge AI for educational purposes, capitalizing on advancements like multi-modal generation.
    • Recognizes limitations of traditional education and emphasizes student-centered learning.

    And if you are looking for one of the most novel ideation projects alongside yours in this round of funding. Please do drop a review or comment, and please do plan to vote for us; we would like to explore just how much AI can do for us in terms of our soft needs of one another.
    Check Ghost AI here

    https://deepfunding.ai/proposal/persona-ai/

     

  • 0
    user-icon
    Emotublockchain
    Jun 10, 2024 | 5:21 AM

    Overall

    4

    • Feasibility 3
    • Viability 3
    • Desirabilty 3
    • Usefulness 2
    Incredible: Consider Privacy and AI Biases

    Learn With AI project is incredible and promising. The integration of AI into personalized learning has the potential to revolutionize education by catering to the unique learning needs of individuals. The diverse and skilled team behind this project is well-positioned to make significant advancements. However, it will be crucial to maintain a balance between leveraging AI and preserving the human elements of teaching, such as empathy and adaptability, which are often irreplaceable. Additionally, the project should consider the ethical implications of AI in education, particularly in terms of data privacy and the potential biases in AI-generated content.

  • 0
    user-icon
    Devbasrahtop
    May 20, 2024 | 10:49 AM

    Overall

    4

    • Feasibility 4
    • Viability 4
    • Desirabilty 5
    • Usefulness 4
    AI-Enhanced Personalized Learning for the Future

    Overall

    This proposal presents a novel strategy for transforming education via individualized learning enabled by AI. The emphasis on using generative AI to personalize interaction techniques and instructional materials looks to solve the shortcomings of conventional teaching approaches. With a well-defined problem statement, solution plan, and milestones, the proposal is comprehensive. More thorough preparation for risk management and implementation is needed to strengthen the proposal.

    Feasibility 

    With the current state of AI technology, integrating AI for personalized learning is very possible. The proposal provides a detailed, step-by-step methodology for identifying efficient teaching methods and using AI-powered solutions to validate them. More details on the resources and technology infrastructure needed, nevertheless, would support the viability even more.

    Viability

    The proposal outlines a practical and phased approach to achieving its goals, starting with field research and analysis. The budget allocation seems reasonable for the initial phases. Detailing the subsequent phases, including development, testing, and deployment, would provide a clearer picture of the project's long-term viability.

    Desirability

    Innovative teaching strategies that accommodate different learning styles are in high demand and are still expanding. The plan fills a major void in the existing educational environment by emphasizing personalized, AI-driven learning. Its appeal is further increased by the emphasis on student feedback and adaptation. 

    Usefulness

    The potential impact on education is substantial, with personalized AI tools offering tailored learning experiences. This can lead to improved engagement, better learning outcomes, and greater student satisfaction. Including more concrete examples of how the proposed methods would be implemented and measured would enhance the understanding of its usefulness.

  • 0
    user-icon
    nwobodojerry
    Jun 10, 2024 | 5:40 AM

    Overall

    4

    • Feasibility 4
    • Viability 5
    • Desirabilty 4
    • Usefulness 4
    Balance AI/Human Interaction for Better Learning

    I could see huge potentials to transform education by harnessing the power of AI to deliver personalized learning experiences. The use of multi modal generative AI will revolutionize content creation and lesson plan customization. This will make education more accessible and tailored to individual needs. The project’s focus on high impact teaching techniques is commendable and aligns well with the current trends in educational technology.

     

    However, there are critical challenges to consider. One of the primary concerns is the inherent bias in AI-generated content. AI systems are trained on existing data, which often includes biases that can perpetuate inequality. It is essential to implement robust mechanisms to identify and mitigate these biases. Ensuring that the AI-driven solutions promote equitable learning opportunities for all students, regardless of their background, is paramount.

     

    The challenge lies is the integration of AI with human-centric teaching elements. While AI can offer personalized learning paths, the empathy, adaptability, and emotional support provided by human teachers are irreplaceable. Striking a balance between AI-driven customization and human interaction will be crucial to the success of this project. The AI should enhance, not replace, the human aspects of education.

    Data privacy is another significant consideration. The project must ensure that students' data is handled with the highest standards of privacy and security. Transparent policies and ethical guidelines for data use are essential to gain the trust of users and stakeholders.

     

    To overcome these challenges, I would advise the founders of this project to actively involve real educators, students, and communities in the development process. Their feedback will be invaluable in creating a tool that genuinely meets the needs of its users. Additionally, continuous monitoring and iterative improvements based on real-world usage will help refine the AI models and address any emerging issues.

     

    The ethical implications of AI in education cannot be overlooked. Incorporating ethical AI practices and establishing a clear framework for addressing potential ethical dilemmas will be critical. Engaging with experts in ethics and AI can provide valuable insights and ensure that the project adheres to high ethical standards.

     

     

    This project has the potential to make significant strides in the educational sector. By addressing biases, integrating human elements, ensuring data privacy, and maintaining ethical standards, the project can create a transformative impact on how we learn and teach. The founder's vision, coupled with a careful and inclusive approach, will be key to navigating the complexities and maximizing the benefits of AI in education.

  • 0
    user-icon
    CLEMENT
    Jun 1, 2024 | 2:13 PM

    Overall

    4

    • Feasibility 4
    • Viability 4
    • Desirabilty 5
    • Usefulness 5
    This offers a valuable service for educators

    Hello there WaKa. I sense this will be a great initiative. I say this because your innovation is focused on personalized, on-demand learning experiences aligns with the marketplace's goal of providing innovative AI solutions to a wide range of industries. This also has the potential to revolutionize traditional educational models. Additionally, this approach not only increases engagement and motivation but also ensures that students receive personalized instruction that meets them where they are academically. I can also commend that the team behind this has suitable reputation. 

    Kudos !

  • 0
    user-icon
    Joseph Gastoni
    May 22, 2024 | 9:06 AM

    Overall

    4

    • Feasibility 4
    • Viability 3
    • Desirabilty 4
    • Usefulness 4
    ideation phase for developing a learning platform.

    This proposal outlines an ideation phase for developing a personalized learning platform using generative AI. Here's a breakdown of its strengths and weaknesses:

    Feasibility:

    • Moderate: The core activities (researching teaching techniques, prototyping interfaces) are feasible with a qualified team and access to relevant AI resources.
      • Strengths: Leverages existing research on learning styles and personalized education.
      • Weaknesses: Developing effective AI-powered learning experiences requires expertise in both education and AI.

    Viability:

    • Moderate: Success depends on the quality of the research, the effectiveness of the prototypes, and the development of a sustainable business model.
      • Strengths: The proposal addresses a significant need for personalized learning solutions.
      • Weaknesses: The proposal lacks details on the target market, pricing strategy, and competition in the educational technology space.

    Desirability:

    • Moderate-High: For educators and learners seeking personalized learning experiences, this could be desirable.
      • Strengths: The proposal offers a potentially engaging and effective way to learn.
      • Weaknesses: The proposal needs to address concerns about the role of AI in education and the potential for bias in AI-generated content.

    Usefulness:

    • Moderate-High: The project has the potential to improve learning outcomes, but its impact depends on the effectiveness of the final product and its accessibility to learners.
      • Strengths: The proposal offers a way to personalize learning experiences and potentially improve engagement.
      • Weaknesses: The proposal lacks details on how the effectiveness of the learning platform will be measured and how it will address potential equity issues in access to technology.

    Overall, this ideation phase has a promising approach, but focus on:

    • Team Expertise: Ensuring the team has the necessary skills in education, AI, and user experience design.
    • Research and Development: Conducting thorough research on existing personalized learning solutions and best practices in AI-powered education.
    • Prototyping and User Testing: Developing low-fidelity prototypes to test core concepts and gather user feedback from educators and learners.
    • Business Model Development: Defining a clear target market, pricing strategy, and plan for long-term sustainability.
    • Addressing Ethical Concerns: Ensuring the platform is unbiased, addresses privacy concerns, and complements (not replaces) human educators.

    By addressing these considerations, this "LearnWithAI" ideation phase can increase its chances of success and lead to a strong proposal for the next Deep Funding round.

    Here are some strengths of this project:

    • Addresses a critical need for personalized learning solutions.
    • Leverages advancements in AI, particularly multi-modal generation, for educational purposes.
    • Recognizes the limitations of traditional education methods and emphasizes student-centered learning.

  • 0
    user-icon
    Max1524
    Jun 10, 2024 | 3:44 AM

    Overall

    3

    • Feasibility 3
    • Viability 2
    • Desirabilty 3
    • Usefulness 3
    How long will the proposal take to complete?

    The presentation of the final product is very clear and specific, which I appreciate. In addition, there are a number of arguments that are well-founded and quite convincing. On the other hand, the team has not clearly shown how long the two milestones are expected to last. This is the standard by which I evaluate Viability.

  • 0
    user-icon
    HieuTran
    Jun 1, 2024 | 2:43 PM

    Overall

    3

    • Feasibility 4
    • Viability 2
    • Desirabilty 4
    • Usefulness 3
    Personalised learning experience with AI

    Feasibility
    The project is a solid idea, but it is not novel; the project's distinguishing feature is that it uses general AI multi-modal creation capabilities and a REST API to find and test specific teaching methodologies that generate Prototypes for incremental interface and analytics solutions. The proposed method strives to address learners' needs while also optimising their process and experience through practice. This enhances the project's potential and feasibility.
    Viability

    The proposal had particular timelines and deliverables, and project workers possessed technology knowledge that enabled successful data collection, analysis, and processing. However, the project's feasibility is limited because the completion time for each milestone has yet to be specified, and only one individual is involved. The workload of data collecting, analysis, hypothesis creation, cross-checking, and the team's discussion and assessment of the results with learners in the education sector requires a significant amount of time and human resources. As a result, the plan to limit the project's milestones to two and engage only one person may impact its success.

    Desirabilty

    Personalising learning experiences is a critical necessity for students, teachers, and the education industry as a whole. The study generated a good notion for various systems learning in a personalised manner.

     Usefulness
    The project takes educational data from the development environment and stores it on the Singularity NET Marketplace.

Summary

Overall Community

3.8

from 10 reviews
  • 5
    0
  • 4
    8
  • 3
    2
  • 2
    0
  • 1
    0

Feasibility

3.8

from 10 reviews

Viability

3.5

from 10 reviews

Desirabilty

4

from 10 reviews

Usefulness

3.8

from 10 reviews
team-member

Walter WaKa

Project Owner

Lead research and investigation. Engage project participants and organize activities. Maintain project records and assure reporting.

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