AI赋能下未来教育的必备核心能力研究报告

Executive Summary “ The growing capabilities of AI—particularly Large Language Modelsand generative AI systems—are placing unprecedented pressureon education systems and forcing a deeper question: what does itmean to be people and active citizens, and a society of care whenmachines can increasingly mimic our work, our knowledge, and Non-Negotiable Human Skills unprecedentedspeed.As large language models andgenerative AI become increasingly integrated into teaching,learning, and assessment, education systems face a deeperquestion: not only how to adapt to these tools, but what or compromised as AI penetrates teaching and learningdimensions. These are the capacities AI cannot and shouldnot replace—and which education must actively protect,teach, and practice. As AI grows increasingly capable, thequestion is no longer what AI systems can do—but whatremains irreducibly human. These are not only soft skills;they are the cognitive, emotional, and moral capacities thatmake us effective, ethical, and fully alive. Education systems AI depends on protecting and strengthening non-negotiablehuman skills: the capacities for judgment, creativity, ethicalreasoning, empathy, and reflection that remain essentialtohuman development,responsible citizenship,andmeaningful work. Drawing on research and case studiesfrom diverse contexts, it offers actionable guidance for the ability to question sources, detect bias, weigh evidence, and reach conclusions that aren’t inheritedfrom an algorithm or an authority. AI can surfaceinformation, but it cannot teach a person to rigorouslyinterrogate it. Students must practice forming and The rapid expansion of AI compels education systems toexaminehowthesetechnologiesarereshapingtheconditionsfor learning, teaching, and personal development. The casestudies in this report show that while AI can expand digitalcapabilities and accelerate access to information, educationmust not lose sight of the human capacities that remainfundamental to learning and the future of work. Through ɞEthicalReasoning&Moral Courage:knowingthe right thing to do is rarely a logic problem. Itrequires sitting with competing values, understandingconsequences of decisions on people, systems, and ɞDeep Empathy & Human Connection:the capacity to understand another person’s experience and notjust model it but also adapt from it. Empathy is thefoundation of trust, care, leadership, and community. power works, how decisions get made, and how to participate meaningfully in collective life. Democracyisnot self-perpetuating;it requires citizens who decoration,but as problem-solving—the ability to keep learning, the comfort with not knowing. In a tomakeunexpectedconnections,challengeassumptions, and generate ideas that didn’t existbefore. AI recombines what it has seen and processed.Humans can imagine what has never existed and can world of accelerating change, the ability to unlearnand relearn is more valuable than any fixed body of complex ideas clearly, read a room, adapt a message for an audience, and move people through languageand presence, which includes active listening andadaptability. These are skills built through practice, ability to face uncertainty, tolerate failure, and keep functioning when there is no clear answer. AI operateswithin defined parameters. Humans must navigateambiguity, recover from setbacks, and find new pathswhen every known option has failed. This is built for Effective Collaboration with AI AI-AdjacentSkills are the competencies and abilitiesindividuals require to work effectively alongside ArtificialIntelligence systems. These skills are not about supplanting how you think, where and when you are wrong, what biases you carry, and how to learn from experience.Metacognition, or “thinking about thinking,” involvesplanning,monitoring,and evaluating one’s owncognitive processes to improve performance. It also Learners equipped with these skills: ɞUnderstandAI Capabilities:comprehend thestrengths and limitations of AI tools to use thesetechnologies effectively across various contexts ɞCollaboration&Social Intelligence:workingeffectively with people who are different, difficult,or in conflict with you. Navigating power, buildingconsensus, giving and receiving honest feedback. Theseskills are forged through learning in group dynamics— ɞInterpret Data:analyze and interpret AI-generateddata outputs to foster informed decision-making ɞUnderstand Ethical Considerations:recognize andaddress the ethical implications of AI use, ensuringresponsible and fair applications of technology Regularclass discussions are encouraged to supportcollaborativelearning:pedagogical techniques such asactive listening, group projects, cooperative learning, role-playing,peer mentoring,and problem-based learning.These and other pedagogical techniques that align with with AI systems to address complex tasks, enhancinglearning through human-AI partnership ɞCriticallyEvaluate:critically assess AI-genera