💥💥💞💞欢迎来到本博客❤️❤️💥💥

🏆博主优势：🌞🌞🌞博客内容尽量做到思维缜密，逻辑清晰，为了方便读者。

⛳️座右铭：行百里者，半于九十。

📋📋📋本文内容如下：🎁🎁🎁

 ⛳️赠与读者

👨‍💻做科研，涉及到一个深在的思想系统，需要科研者逻辑缜密，踏实认真，但是不能只是努力，很多时候借力比努力更重要，然后还要有仰望星空的创新点和启发点。建议读者按目录次序逐一浏览，免得骤然跌入幽暗的迷宫找不到来时的路，它不足为你揭示全部问题的答案，但若能解答你胸中升起的一朵朵疑云，也未尝不会酿成晚霞斑斓的别一番景致，万一它给你带来了一场精神世界的苦雨，那就借机洗刷一下原来存放在那儿的“躺平”上的尘埃吧。

     或许，雨过云收，神驰的天地更清朗.......🔎🔎🔎

💥第一部分——内容介绍

In just a few years, Generative Artificial Intelligence (Gen-AI) has gone from a tool of limited

capacity, only used by a few early-adopters to a powerful and inescapable resource embedded in

our daily lives. Over time, research suggests that Gen-AI could impact the future of work. For

example, in some fields, Gen-AI may replace humans (or heavily reduce the human workload),

while other fields might not be heavily impacted or might even grow.

In this question, you will explore how post-secondary educational institutions, of various types,

should best prepare their future graduates in light of this new technology. Specifically, you are

asking do to the following.

● Choose three careers, one from each of the following categories:

○ STEM career: people in this career often have at least a four year university

degree in the sciences, engineering, or mathematics;

○ Trade career: people in this career often have training from a trade school and/or

an apprenticeship program, such as chef, plumber, and electrician;

○ Arts career: people in this career often have studied at an arts school,

conservatory, or cultural center, such as musician, dancer, or painter.

● Design a data-informed model to explore the future of each of your three chosen

professions, given the current trajectory and expected impacts of Gen-AI. Be sure to

identify your data sources as well as your reasoning behind any drivers that you expect to

change this profession as a result of Gen-AI. Note: you may leverage existing research on

the future of work, but be sure to cite your sources and explain how you are using the

established research to inform your analysis.

● Identify a specific post-secondary institution and program of study for each career you

are analyzing (one at a university, one at a trade school, one at an arts school), and focus

your recommendations accordingly. In other words, you should have three sets of

recommendations that address the following question: Based on your analysis, how

would you advise the leaders of each of these institutions to address Gen-AI in the

programs specific to the careers you are analyzing?

Below are just some thoughts you may wish to consider; teams should not attempt to

address all of these ideas, but should use these as inspiration that will lead to a cogent and

thorough analysis that should vary team to team.

Should the program of study grow or shrink (graduate more or fewer people) as a

result of changes in the career due to Gen-AI? If the field should grow, how might

the institution recruit more people; and if the field should shrink, are there other

programs in the school that should grow to absorb the people who used to study in

this program?

○ What should these three different programs of study teach about Gen-AI? Many

post-secondary institutions of learning have asked this question and are still

developing their response. While some institutions have outright banned the use

of AI on any assignments, others have brought the use of AI to the forefront of

their curriculum. Some schools aim to produce experts who can contribute to the

leading edge of the technological field, while some focus on graduating students

in non-technical fields who are fluent users of the technology. Some institutions

encourage their students to think about all the ways they can apply this new

technology, and some schools challenge students to carefully weigh the benefits

and costs of using AI, given the requisite energy usage, water demands, and risk

of insufficient (often missing or incorrect) attribution to the original creators of

ideas or content. For the three programs of study at the three institutions you’ve

selected, what do you recommend to best support the employability of their

graduates? Be sure to support your recommendations with the results of a

mathematical model.

○ While this problem poses the question through the context of employability of

graduates in a world where Gen-AI is ubiquitous, perhaps employment demands

are not the only way to measure the success of the institutional policies you are

proposing. What other factors do you believe should be considered, and how do

your models and recommendations change when you consider these other factors?

○ If you believe your specific recommendations can be generalized beyond one

institution and/or beyond one program, be sure to explain the extent of the

generalization and justify this.

短短⼏年间，⽣成式⼈⼯智能（Gen-AI）已从最初功能有限、仅供少数早期⽤⼾使⽤的⼯

具，发展成为融⼊我们⽇常⽣活、强⼤且不可或缺的资源。研究表明，随着时间的推移，⽣

成式⼈⼯智能可能会对未来的⼯作产⽣深远影响。例如，在某些领域，⽣成式⼈⼯智能可能

会取代⼈类（或⼤幅减轻⼈类的⼯作量），⽽在其他领域，它可能不会受到太⼤影响，甚⾄

可能促进其发展。

在这个问题中，你将探讨各类⾼等教育机构应如何更好地帮助未来的毕业⽣适应这项新技

术。具体来说，你需要回答以下问题。

● 从以下类别中选择三种职业：

○ STEM 职业：从事该职业的⼈通常⾄少拥有四年制科学、⼯程或数学专业

的⼤学学位；

○ 技术职业：从事此职业的⼈通常接受过技校培训和/或学徒计划，例如厨师、

⽔管⼯和电⼯；

○ 艺术职业：从事此职业的⼈通常曾在艺术学校、⾳乐学院或⽂化中

⼼学习，例如⾳乐家、舞蹈家或画家。

● 针对你选择的三个职业，在当前⼈⼯智能发展轨迹和预期影响的背景下，设计⼀个数据

驱动模型来探索它们的未来发展趋势。务必明确你的数据来源，并阐述你认为⼈⼯智

能会改变这些职业的任何驱动因素背后的原因。注意：你可以参考现有的关于未来⼯

作的研究，但务必注明出处，并解释你如何利⽤这些研究成果来指导你的分析。

● 针对您分析的每种职业，确定⼀所具体的专上院校和学习项⽬（⼀所⼤学、⼀所职业

学校、⼀所艺术院校），并据此提出相应的建议。换句话说，您应该提出三组建议，

分别回答以下问题：基于您的分析，您会如何建议这些院校的领导者在针对您所分析

的职业的特定课程中应对⼈⼯智能问题？

以下是⼀些您可以考虑的想法；团队不必试图解决所有这些问题，⽽应以此为灵感，

进⾏有理有据、全⾯深⼊的分析，具体分析应因团队⽽异。

的到来导致职业发展发⽣变化，该专业应该发展壮⼤还是萎

缩（毕业⽣⼈数增加还是减少）？如果该领域应该发展壮⼤，学校应该如何招

收更多学⽣？如果该领域应该萎缩，学校⾥是否有其他专业应该发展壮⼤以吸

纳原本就读于该专业的学⽣？

○ 这三个不同的学习项⽬应该教授哪些关于⼈⼯智能（Gen-AI）的内容？许多⾼

等院校都提出了这个问题，并且仍在探索应对之策。⼀些院校彻底禁⽌在任

何作业中使⽤⼈⼯智能，⽽另⼀些院校则将⼈⼯智能的应⽤置于课程的核⼼

位置。⼀些院校的⽬标是培养能够引领科技前沿的专家，⽽另⼀些院校则专

注于培养⾮技术领域的毕业⽣，使其能够熟练运⽤这项技术。⼀些院校⿎励

学⽣思考如何应⽤这项新技术，⽽另⼀些院校则要求学⽣仔细权衡使⽤⼈⼯

智能的利弊，考虑到所需的能源消耗、⽤⽔需求以及对原创思想或内容的署

名不⾜（通常是缺失或错误）的⻛险。对于您选择的三所院校的三个学习项

⽬，您建议如何才能最好地提升毕业⽣的就业能⼒？请务必⽤数学模型的结

果来佐证您的建议。

○ 虽然这个问题是从⼈⼯智能普及的时代毕业⽣就业能⼒的⻆度提出的，但或许

就业需求并⾮衡量您所提出的制度政策是否成功的唯⼀标准。您认为还有哪些

其他因素需要考虑？当您考虑这些因素时，您的模型和建议会发⽣哪些变化？

○ 如果您认为您的具体建议可以推⼴到⼀所院校和/或⼀个项⽬之外，请务必

解释推⼴的范围并加以证明。

📚第二部分——运行结果

通过网盘分享的文件：【2026_MCM美赛资源】（思路、代码、论文）.rar
链接:https://pan.baidu.com/s/1lsXsMGLvQMFc9ev3m7qXgg?pwd=3h97

提取码: 3h97 
--来自百度网盘超级会员v7的分享

🎉第三部分——参考文献 

文章中一些内容引自网络，会注明出处或引用为参考文献，难免有未尽之处，如有不妥，请随时联系删除。(文章内容仅供参考，具体效果以运行结果为准)

🌈第四部分——本文完整资源下载

资料获取，更多粉丝福利，MATLAB|Simulink|Python|数据|文档等完整资源获取