CikguHub: an accessible AI-driven talent development platform for Malaysian teachers
dc.contributor.author | Tao, Yingqi | |
dc.contributor.author | Kok, Christopher | |
dc.contributor.author | Croisdale, Gregory | |
dc.contributor.author | Schmidt, Jacquelyn | |
dc.contributor.author | Mansingh, Anmol | |
dc.contributor.advisor | Guo, Anhong | |
dc.date.accessioned | 2023-06-08T20:21:53Z | |
dc.date.available | 2023-06-08T20:21:53Z | |
dc.date.issued | 2023 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/176961 | |
dc.description.abstract | Edvolution, a not-for-profit, has been working closely with Malaysian Ministry of Education (MME) to initiate projects and programs that “build transformative leaders, competent educators, and effective community builders in schools.” However, there is no one centralized learning and development platform that provides access of these programs and projects to various stakeholders, such as teachers, administrators, and Malaysian government officials. Therefore, our project is to create CikguHub, a people empowerment website that uses human-AI partnership to recommend personalized learning materials and generate competency scores and feedback. Partnering with Edvolution and powered by AI, CikguHub would help teachers identify and understand their areas of improvement, find and learn from high-quality learning materials to improve their skills, and get feedback for their works. It would also help administrators and government officials to assess teachers’ competencies at scale and manage teaching resources. | |
dc.subject | education | |
dc.subject | Artificial Intelligence | |
dc.subject | human-AI | |
dc.subject | web development and accessibility | |
dc.title | CikguHub: an accessible AI-driven talent development platform for Malaysian teachers | |
dc.type | Project | |
dc.subject.hlbtoplevel | Engineering | |
dc.contributor.affiliationum | Computer Science and Engineering at the College of Engineering | |
dc.contributor.affiliationumcampus | Ann Arbor | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/176961/1/Tao_Capstone_Report_-_Yingqi_Wendy_Tao.pdf | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/176961/2/Tao_Capstone_Poster_-_Yingqi_Wendy_Tao.pdf | |
dc.identifier.doi | https://dx.doi.org/10.7302/7697 | |
dc.working.doi | 10.7302/7697 | en |
dc.owningcollname | Honors Program, The College of Engineering |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.