Page 660 - AI for Good Innovate for Impact
P. 660

AI for Good Innovate for Impact



                          Use case -9: Using AI in Student Creative Art Translations and

                      STEM Workshop








                      Country:               Nigeria

                      Organization:          Rising Hope Girls Educational Foundation (RHGE) (NGO)

                      Contact Person(s):

                           David Ahanor (ahanordavid@ gmail .com) - Digital Program Coordinator
                           Oghogho Ahanor (support@ risi nghopegirl seducation .com)
                           OlaKunle Festus (kunlefes089@ gmail .com)


                      1      Use Case Summary Table

                       Category         Education
                       The problem to be  Limited access to digital tools and creative tools in learning in underserved
                       addressed        communities in Nigeria has led to 60 percent of girls population with no
                                        access to digital STEM learning access. Poor undeveloped technological use
                                        skills of teachers, where 60 percent of their population are digitally illiterate
                                        and the low infrastructural system deficiencies has stumped innovative and
                                        creative use STEM techniques and tools in underserved digital areas.

                       Key aspects of the  Digital Learning, Education, AI in Creativity, STEM Empowerment, Digital
                       solution         Inclusion, Literacy, AI in STEM, Evidence-Based Learning
                                        AI-generated translations of student art into digital formats, STEM learning,
                                        integration of AI tools (e.g., image recognition, generative models), visual
                                        storytelling, AI in NFTs, creative art work, evidence-based learning, coding,
                                        EdTech application

                       Technology       Generative AI, Computer Vision, Digital Literacy, Machine Learning, AI Art,
                       keywords         NLP, STEM Education

                       Data availability  Private dataset (student art images, STEM activity logs)
                       Metadata (type of  Visual (images), text (annotations), audio (optional narratives)
                       data)
                       Model training  Uses pre-trained generative models (ChatGPT, Copilot, DALL-E, Stable
                       and fine-tuning  Diffusion, Openart.ai), prompt-tuning for contextual relevant
                       Testbeds or pilot  Pilot projects conducted in schools across Kubwa, Dei Dei, Dutse, Byazhin
                       deployments      regions in Abuja [12] [13]
















                  624
   655   656   657   658   659   660   661   662   663   664   665