helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
How do children perceive data fairness in AI educational technology (AI-EdTech)?Direction: Fairness, Bias, and Research Governance
Educational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
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helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
How do national and cultural backgrounds influence children's understanding of data fairness?helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
How can children's needs for data transparency and personalization be incorporated into AI system design?lightbulbPractical problemEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
Children lack agency over data privacy and fairness in AI educational technology.helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
How can computer science education effectively integrate social responsibility and social justice education?helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
What teaching methods help students identify social injustice in technology design?helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
How can 'futures design' and speculative design methods help students explore equitable technology solutions?lightbulbPractical problemEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
CS education ignores social responsibility, and technology design exacerbates social injustice.helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
How do students perceive existing classroom management and surveillance technologies?helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
How do students expect future classroom technologies to support or affect safety and behavior management?helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
Can student designs reflect perspectives on fairness and power dynamics?lightbulbPractical problemEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
Some classroom surveillance technologies are seen as disrespecting student privacy and fairness.helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
How can future-technology design activities help elementary students learn AI while engaging in ethical reflection?helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
How do elementary students' future-technology designs reflect considerations of fairness, inclusivity, and responsibility?helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
How can children in AI education move from anthropomorphic misconceptions to critical understanding?lightbulbPractical problemEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
Children lack understanding of AI ethics and easily develop anthropomorphic misconceptions about AI.helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
Which practice elements in existing CCI ethics frameworks fail to consider children's real experiences in research activities?helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
How can a child-centered ethics framework cover the full lifecycle of research activities?helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
How can privacy protection, inclusivity, and fairness be balanced when children participate in emerging technology research such as AI and robotics?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.helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
What specific risks and negative impacts might large language models (LLMs) pose in educational technology?helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
What differences exist between edtech vendors' and educators' risk perceptions of LLMs?helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
How can a domain-specific framework be designed to assess and mitigate potential risks of LLMs in education?lightbulbPractical problemEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
Educators worry that LLMs may undermine learning quality and increase educational inequality.helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
How does generative AI (GenAI) affect disabled students' learning experiences and assistive tool use in academic and non-academic settings?helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
Can generative AI serve as a complement to traditional university support systems (e.g., disability services offices)?helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
How can more inclusive and supportive university policies be designed to leverage generative AI's potential while reducing bias and risk?lightbulbPractical problemEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
Disabled students struggle to obtain sufficiently customized learning and living support.helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
How do AI tools (e.g., Quark Gaokao) affect collaborative decision-making between parents and students in college entrance exam application?helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
What design shortcomings exist in current AI tools for Gaokao application recommendations, such as career development support and information symmetry?helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
How can family-centered design improve Gaokao AI tools to promote educational equity and enhance user experience?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.helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
How can student-centered speculative design support equity in education?helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
How can speculative co-design help marginalized students develop transformative agency (ability to change their situation)?helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
What methods can balance identity development and tool development in students' technology design?lightbulbPractical problemEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
Marginalized students lack collaborative opportunities and identity affirmation in school environments.helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
How can personalized guidance improve students' scientific communication and summarization skills?UbiComp '23ASSET 2023 - The Americas Student Emerging Technologies Workshop Held at UbiComp/ISWC 2023
helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
What support and resources do students need when participating in top academic communities?UbiComp '23ASSET 2023 - The Americas Student Emerging Technologies Workshop Held at UbiComp/ISWC 2023
helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
How can diversity of students from underrepresented universities participating in international academic conferences be increased?UbiComp '23ASSET 2023 - The Americas Student Emerging Technologies Workshop Held at UbiComp/ISWC 2023
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
helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
How do community educators use localized strategies and community assets to promote equity in technology education?helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
Can integrating cultural background and youth interests into technology curriculum design improve learning outcomes and engagement?helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
What teaching strategies can improve community educators' confidence and teaching ability in technology education?lightbulbPractical problemEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
Minority youth in cities struggle to access equitable technology education and career preparation.helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
How can human-centered design frameworks be systematically adopted in decision algorithm design for higher education?helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
What deficiencies exist in current decision algorithms for higher education regarding fairness, transparency, and user participation?helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
How do existing higher education algorithm studies reflect human-centered design principles in goals, input data, and computational methods?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.helpResearch questionEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
What key requirements must MOOC videos meet for mobile-learning-friendly design?lightbulbPractical problemEducational Algorithm Fairness, Learning Opportunity, and Marginalized Student Support
Learners have poor experiences watching MOOC videos on phones due to design flaws.Related papers
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