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CikguHub: an accessible AI-driven talent development platform for Malaysian teachers

dc.contributor.authorTao, Yingqi
dc.contributor.authorKok, Christopher
dc.contributor.authorCroisdale, Gregory
dc.contributor.authorSchmidt, Jacquelyn
dc.contributor.authorMansingh, Anmol
dc.contributor.advisorGuo, Anhong
dc.date.accessioned2023-06-08T20:21:53Z
dc.date.available2023-06-08T20:21:53Z
dc.date.issued2023
dc.identifier.urihttps://hdl.handle.net/2027.42/176961
dc.description.abstractEdvolution, 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.subjecteducation
dc.subjectArtificial Intelligence
dc.subjecthuman-AI
dc.subjectweb development and accessibility
dc.titleCikguHub: an accessible AI-driven talent development platform for Malaysian teachers
dc.typeProject
dc.subject.hlbtoplevelEngineering
dc.contributor.affiliationumComputer Science and Engineering at the College of Engineering
dc.contributor.affiliationumcampusAnn Arbor
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/176961/1/Tao_Capstone_Report_-_Yingqi_Wendy_Tao.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/176961/2/Tao_Capstone_Poster_-_Yingqi_Wendy_Tao.pdf
dc.identifier.doihttps://dx.doi.org/10.7302/7697
dc.working.doi10.7302/7697en
dc.owningcollnameHonors Program, The College of Engineering


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