Synergistic Feedback Systems: A Comprehensive Framework Balancing Personalisation and Community-Driven Quality Assurance in AI-Generated Resource Platforms

Isaac Ng; Anatoliy Markiv; Oscar Sing Him Ho; Abirami Muthukumar; Victor Wang Tat Lau; Mandeep Sagoo

Synergistic Feedback Systems: A Comprehensive Framework Balancing Personalisation and Community-Driven Quality Assurance in AI-Generated Resource Platforms

Isaac Ng, Anatoliy Markiv, Oscar Sing Him Ho, Abirami Muthukumar, Victor Wang Tat Lau, Mandeep Sagoo

Biosciences Education

Kings College London

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

Original language	English
Title of host publication	International Conference of Education, Research and Innovation
Publication status	Published - Nov 2024

Cite this

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title = "Synergistic Feedback Systems: A Comprehensive Framework Balancing Personalisation and Community-Driven Quality Assurance in AI-Generated Resource Platforms",

author = "Isaac Ng and Anatoliy Markiv and Ho, {Oscar Sing Him} and Abirami Muthukumar and Lau, {Victor Wang Tat} and Mandeep Sagoo",

year = "2024",

month = nov,

language = "English",

booktitle = "International Conference of Education, Research and Innovation",

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T1 - Synergistic Feedback Systems: A Comprehensive Framework Balancing Personalisation and Community-Driven Quality Assurance in AI-Generated Resource Platforms

AU - Ng, Isaac

AU - Markiv, Anatoliy

AU - Ho, Oscar Sing Him

AU - Muthukumar, Abirami

AU - Lau, Victor Wang Tat

AU - Sagoo, Mandeep

PY - 2024/11

Y1 - 2024/11

M3 - Conference paper

BT - International Conference of Education, Research and Innovation

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