lightbulbPractical problemEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
Children lack agency over data privacy and fairness in AI educational technology.Direction: Fairness, Bias, and Research Governance
Educational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
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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.lightbulbPractical problemEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
Disabled students struggle to obtain sufficiently customized learning and living support.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.lightbulbPractical problemEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
Marginalized students lack collaborative opportunities and identity affirmation in school environments.lightbulbPractical problemEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
Students struggle to access world-class academic resources and exchange opportunities.UbiComp '23ASSET 2023 - The Americas Student Emerging Technologies Workshop Held at UbiComp/ISWC 2023
lightbulbPractical problemEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
Minority youth in cities struggle to access equitable technology education and career preparation.lightbulbPractical problemEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
Algorithmic decision-making in higher education lacks transparency and does not adequately consider student fairness.lightbulbPractical problemEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
Learners have poor experiences watching MOOC videos on phones due to design flaws.lightbulbPractical problemEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
University admissions processes struggle to increase diversity while remaining legally compliant.IUI '21Equitable AI: Using AI to Achieve Diversity in Admissions
lightbulbPractical problemEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
Rural students have limited resources and struggle to obtain appropriate help to improve learning performance.lightbulbPractical problemEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
Adolescent girls face restricted sports participation due to menstrual changes and social bias, affecting health and social life.lightbulbPractical problemEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
Low-resource families struggle to use student assignment systems fairly, leading to unequal distribution of educational resources.lightbulbPractical problemEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
Design students struggle to obtain diverse, high-quality feedback to optimize learning experiences.lightbulbPractical problemEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
Students' distrust of AI grading systems may affect learning outcomes and educational equity.Related papers
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