lightbulbPractical problemEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
Parents dominate Gaokao application while student participation is low, and AI recommendations neglect long-term career development.Fairness, Bias, and Research Governance / Educational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
Parents dominate Gaokao application while student participation is low, and AI recommendations neglect long-term career development.
Similar questions
lightbulbPractical problemEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
Children lack agency over data privacy and fairness in AI educational technology.lightbulbPractical problemEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
CS education ignores social responsibility, and technology design exacerbates social injustice.lightbulbPractical problemEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
Some classroom surveillance technologies are seen as disrespecting student privacy and fairness.lightbulbPractical problemEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
Children lack understanding of AI ethics and easily develop anthropomorphic misconceptions about AI.lightbulbPractical problemEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
Existing frameworks fail to meet children's needs for privacy protection and fair participation in research.lightbulbPractical problemEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
Educators worry that LLMs may undermine learning quality and increase educational inequality.Related papers
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