← 政策图谱Atlas 申请环节Admissions 学生规范Guidelines
No.47 / 52 · 52 所大学 AI 使用政策比较研究No.47 of 52 · AI Use Policies at 52 Universities

Boston College

Boston College波士顿学院

来源层级 · 混合来源Source level · Mixed 9 / 12 项有明文规定9 of 12 provisions addressed 采集于 2026-09-26Accessed 2026-09-26 申请环节 · 本科 AI 明文边界Admissions · Explicit undergraduate rules

原文摘录Excerpt

选取标准:对高中读者最具引用价值的一句原文。Selected as the sentence most quotable for a high-school reader.

This includes using the assistance of artificial intelligence (A.I.) text generators to perform central requirements of an assignment (i.e. reading, synthesizing, interpreting, writing, coding, programming, etc.) without both the explicit permission of the instructor and complete attribution and citation of A.I. assisted components.

↓ 在原文中的位置↓ Where it appears in the source

十二项条款The twelve provisions

9 / 12

每项附该校原文中的依据语句,以及图谱 52 校中持同一立场的校数。颜色越深,规定越明确、越具约束力(不代表优劣);斜纹表示该来源未作表述。Each provision gives the supporting sentence and how many of the 52 universities in the atlas take the same position. Darker means more explicit and binding (not better); hatching means the source does not address it.

许可Permission使用许可由谁决定who decides whether AI may be used

默认规则Default rule

Default rule默认规则

作业未说明可否使用 AI 时,适用何种规则?When an assignment says nothing about AI, what applies?

默认禁止Prohibited by default主流口径MOST COMMON
work generated through unsanctioned and/or undocumented artificial intelligence (A.I.) assistance.

编码说明CODING NOTEAI assistance that is not sanctioned or documented is classified as cheating.

52 校中 19 所与此相同 · 该条主流口径:默认禁止(19/45)19 of 52 take this position · most common: Prohibited by default (19/45)

课程规则优先Instructor override

Instructor override课程规则优先

任课教师的规定是否优先于校级规定?Does an instructor's rule take precedence over the institution's?

教师可定但有底线Instructor rules within limits主流口径MOST COMMON
without both the explicit permission of the instructor and complete attribution and citation of A.I. assisted components.

编码说明CODING NOTEInstructor permission is required but citation of AI-assisted components remains a separate, mandatory condition.

52 校中 33 所与此相同 · 该条主流口径:教师可定但有底线(33/45)33 of 52 take this position · most common: Instructor rules within limits (33/45)

分级许可Tiered scale

Tiered scale分级许可

是否设有分级的使用许可框架?Is there a graduated permission framework?

未作表述Not addressed

本项目采集的官方来源未就此条款作出表述;这不代表该校没有相关规定。The official source collected here does not address this provision; this does not mean the university has no rule on it.

52 校中 32 所同样未作表述32 of 52 are likewise silent

透明Transparency使用后须说明的内容what must be declared after use

披露要求Disclosure

Disclosure披露要求

使用 AI 是否须予披露?为强制还是建议?Must AI use be disclosed, and is that required or recommended?

强制披露Required主流口径MOST COMMON
complete attribution and citation of A.I. assisted components

编码说明CODING NOTEFull attribution and citation of AI-assisted portions of work is a mandatory condition, not optional.

52 校中 20 所与此相同 · 该条主流口径:强制披露(20/46)20 of 52 take this position · most common: Required (20/46)

过程留证Process evidence

Process evidence过程留证

是否须保留草稿、提示词或编辑历史?Must drafts, prompts or edit history be kept?

未作表述Not addressed

本项目采集的官方来源未就此条款作出表述;这不代表该校没有相关规定。The official source collected here does not address this provision; this does not mean the university has no rule on it.

52 校中 33 所同样未作表述33 of 52 are likewise silent

责任Accountability错误与违规的责任归属responsibility for errors and violations

核实责任Verification duty

Verification duty核实责任

AI 输出有误或虚构引注时,由谁负责?Who is responsible when AI output is wrong or a citation is invented?

一般性提醒General caution
such as potential biases in algorithms and the inability to replace human insights and connections

编码说明CODING NOTEWarns generally of algorithmic bias and AI's inability to replace human insight, with no stated verification duty.

52 校中 11 所与此相同 · 该条主流口径:须自行核实(17/38)11 of 52 take this position · most common: Verification required (17/38)

违规定性Integrity framing

Integrity framing违规定性

违规使用在纪律体系中如何定性?How is a violation classified in the disciplinary system?

明确等同抄袭Explicitly plagiarism
using the assistance of artificial intelligence (A.I.) text generators to perform central requirements of an assignment

编码说明CODING NOTEUsing AI text generators for central assignment requirements without permission and citation is classified as Plagiarism.

52 校中 13 所与此相同 · 该条主流口径:学术不端(28/44)13 of 52 take this position · most common: Academic integrity violation (28/44)

检测器证据Detector evidence

Detector evidence检测器证据

AI 检测工具的结果能否作为证据?Can AI-detection results be used as evidence?

未作表述Not addressed

本项目采集的官方来源未就此条款作出表述;这不代表该校没有相关规定。The official source collected here does not address this provision; this does not mean the university has no rule on it.

52 校中 38 所同样未作表述38 of 52 are likewise silent

边界Boundaries数据、版权与工具的限制limits on data, copyright and tools

数据与隐私Data & privacy

Data & privacy数据与隐私

哪些内容不得输入 AI 工具?What must not be entered into an AI tool?

禁止上传受限数据Restricted data prohibited主流口径MOST COMMON
'Strictly Confidential' data, as defined by the Boston College Data Security Policy, should not be used in any online AI tool (even if it has data protection), without University review.

编码说明CODING NOTENamed Confidential and Strictly Confidential data categories are barred from online AI tools without University review.

52 校中 20 所与此相同 · 该条主流口径:禁止上传受限数据(20/31)20 of 52 take this position · most common: Restricted data prohibited (20/31)

机构工具Institutional tools

Institutional tools机构工具

学校是否指定或提供 AI 工具?Does the institution designate or provide AI tools?

提供机构版工具Institution-provided tool主流口径MOST COMMON
BC’s currently supported AI tools (see Resources > AI Tools) offer Data Protection.

编码说明CODING NOTEBC supports specific AI tools that carry contractual data protection for institutional data.

52 校中 19 所与此相同 · 该条主流口径:提供机构版工具(19/24)19 of 52 take this position · most common: Institution-provided tool (19/24)

理由Rationale规则的依据the stated basis for the rules

学习理由Learning rationale

Learning rationale学习理由

规则是否以“不得绕过应习得的能力”为依据?Are the rules grounded in not bypassing the skills to be learned?

一般性表述General statement
the educational process requires that individuals present their own ideas and insights for evaluation, critique, and eventual reformulation

编码说明CODING NOTEGeneral framing that the educational process depends on presenting one's own ideas, without an AI-specific skills rationale.

52 校中 15 所与此相同 · 该条主流口径:明确以学习目标为据(22/37)15 of 52 take this position · most common: Explicit learning-objective rationale (22/37)

补充信息Further detail

要求披露的内容What must be disclosed

使用范围与程度Extent of use正式引注Formal citation

申请环节的 AI 政策AI in the application

admissions/47-Boston-College.md

该校招生办公室就申请人使用 AI 的公开表述,以本科新生申请为主。英文为逐字原文,中文为整理者的分析。证据状态描述找到了什么材料,不是宽严等级;未说明不代表允许。What this university's admissions office says about applicants using AI, chiefly for first-year undergraduate applications. English passages are verbatim; the Chinese is the collector's analysis. The evidence status describes what material was found, not how strict the rules are; silence does not mean permission.

证据状态Evidence status 本科申请 AI 明文边界(效力见来源)Explicit AI boundaries for undergraduate applicants (force as stated in the source)

BC 本科招生直接说明 AI(如 ChatGPT)仅可作为辅助指南,申请陈述与短答内容须由本人创作、不得直接复制 AI 或其他来源的内容。[S1-Q1][S1-Q2]

52 所大学对照 →All 52 compared →

来源信息Source information

  • 检索日期Research date 2026-09-26 (Asia/Shanghai); individual original snapshot retrieval dates below.
  • 证据状态Evidence status explicit-undergraduate-ai (evidence category, not a permission rating).
  • 格式说明Format brief original English excerpts from saved official source bodies; whitespace normalized, wording preserved. Chinese findings and adaptations below are research interpretation, not quotations.

中文结论(研究解读,非学校原文)

BC 本科招生直接说明 AI(如 ChatGPT)仅可作为辅助指南,申请陈述与短答内容须由本人创作、不得直接复制 AI 或其他来源的内容。[S1-Q1][S1-Q2]

Official sources and exact excerpts

[S1] Apply — Note on Use of Artificial Intelligence

  • 发布单位Publisher Boston College Office of Undergraduate Admission
  • 官方链接Official URL https://www.bc.edu/bc-web/admission/apply.html
  • 来源日期Source date 2026–27 supplemental questions on same page; AI note itself undated
  • 适用范围Scope undergraduate personal statements, supplements, free responses
  • 来源性质Authority official-admissions-guidance
  • 采集时间Retrieved 2026-09-26T02:16:47.126932+00:00 (original acquisition); full-text

[S1-Q1] Own authorship

the content must be their own.

[S1-Q2] AI guide only; no copying

Generative artificial intelligence tools like ChatGPT may also serve as a resource, but must only be used as a guide; content must never be directly copied from AI or other sources.

边界与尚未核实

  • 2026–27 招生题目出现在同页;申请 AI 段落未标独立生效日、没有定义所有工具协助程度或 AI 检测与处分。
  • 未逐项核实的细节不可视为默认许可;本页无招生/课堂之间的相互授权。

申请材料使用提醒(研究者建议,非学校原文)

先核对当季官方招生说明与适用的申请平台条款;保持本人经历、观点与最终写作的真实归属,记录使用过程;不可凭课堂准用规则推定申请准用。

官方原文The official text

univ/47-Boston-College.md

本项目采集的该校官方文本。图谱引用的语句已高亮,句末标签注明对应条款,点击可返回该条款。The official text collected for this university. Sentences the atlas cites are highlighted; the tag after each names the provision it supports and links back to it.

来源信息Source information

  • 访问日期Accessed 2026-09-26
  • 格式说明Format note Relevant passages copied verbatim from saved copies of the official pages below; navigation and unrelated page content removed. Wording is retained; layout may differ from the webpage.
  • 适用范围Scope note [AI @ BC: Guidelines] Boston College AI @ BC — scope: college community, course-specific instructor authority; authority: official-university-guidance. [Academic Integrity (Undergraduate)] Boston College University Catalog — scope: undergraduate academic conduct; authority: undergraduate academic-integrity policy.
  • 用途说明Use note Source material for comparison, not a translation or the school's final high-school policy.

AI @ BC: Guidelines


Guidelines

The resources on this website are designed to support the Boston College community’s safe, responsible, and ethical use of AI, in accordance with University guidelines on AI use.

Ethical Considerations

Legal Considerations

Data Security and Privacy

University Policies

Ethical Considerations

As with any new technology, there are risks. Content creation by AI can potentially be misused, like generating misleading information or deep fakes. Ethical concerns also arise around AI authorship.

As with many digital tools, it's crucial to be aware of its limitations, such as potential biases in algorithms and the inability to replace human insights and connections核实责任Verification duty. Additionally, faculty should offer, and students should defer to, guidelines about appropriate use of AI in coursework, or when such use is prohibited. Students should also be aware of the appropriate and authorized use of AI in each class as outlined by the instructor and in accordance with the

University Academic Integrity Policies

.

Legal Considerations

AI raises important and often intersecting legal issues. Understanding some of these legal implications is key to safe and responsible use of AI tools. Here are just three areas of legal compliance and risk to keep in mind as we collectively work to minimize exposure to potential legal pitfalls:

Data Privacy and Security

Data Privacy and Security

The universe of data that can get fed into AI systems is massive. In our University environment, particularly sensitive data include, for example, student records, employment records, health records, research data, financial information, proprietary or otherwise confidential information. When it comes to sharing information with AI systems, data privacy and security risks (data breaches, legal and regulatory violations, and reputational risks, etc.) persist. Users of AI tools across the University must understand their existing data privacy and security obligations, such as compliance with Boston College policies and procedures, the Family Educational Rights and Privacy Act (FERPA), and contractual obligations on various fronts. Be sure to visit the Data Security and Privacy page on this website for additional information specific to Boston College approved AI tools.

Intellectual Property

Intellectual Property

There are significant legal questions and continued uncertainty regarding AI and copyright infringement, as well as the ownership and eligibility of AI-generated works for IP protection. Authors, scholars, artists, and other copyright holders have filed numerous lawsuits against developers and deployers of AI systems, alleging copyright infringement and unauthorized use of their copyrighted works in connection with AI systems. As a practical matter for users of AI systems across the University, AI use must not violate the copyright and other IP rights of third parties.知识产权IP & copyright Additionally, authors, creators, and other content generators may face new challenges in protecting their own IP rights as AI use proliferates.

Evolving Legal Landscape

Evolving Legal Landscape

The AI legal and regulatory landscape is quickly evolving both in the U.S. and internationally. In the U.S., a growing number of states are developing their own laws governing the use of AI. There is no AI legislation at the U.S. federal level as of early 2025. However, a number of legal questions surrounding the use and development of AI tools are playing out in U.S. courts. The range of issues being litigated is vast: copyright and ownership; use of AI in academic coursework; academic integrity; data privacy; surveillance and tracking; bias and discrimination; and more. A number of public databases try to monitor these ongoing developments, including one from The George Washington University at https://blogs.gwu.edu/law-eti/ai-litigation-database/

.

Outside the U.S., many countries are developing and promulgating their own AI governance models and legislation. Notably, the European Union’s EU AI Act became law in 2024 and serves as a model for many for harmonized rulemaking on AI. The EU AI Act is anchored on a risk-based approach to AI systems and use cases, classifying them in four risk levels: minimal, limited, high, and prohibited. The first compliance requirements under the EU AI Act came into effect in February 2025, banning certain prohibited practices and imposing AI literacy requirements for providers and deployers of AI systems. Information about the EU AI Act is available at https://artificialintelligenceact.eu/

.

Why does this matter?

By understanding these and the myriad of other legal implications of AI use, members of the Boston College community can harness the benefits of safe and responsible AI use, while mitigating their and the University’s potential exposure to legal and regulatory risk in an ever-changing landscape. Boston College’s Office of the General Counsel can help faculty and staff navigate legal questions they may have about AI use.

Data Security and Privacy

BC’s currently supported AI tools (see Resources > AI Tools) offer Data Protection.机构工具Institutional tools Which protects BC data and ensures that data is not used to train the model and is not released to other users or organizations.

Be aware that any information entered in publicly available AI tools may not only be processed, but also retained and used by the AI to give answers to others. This means if you enter any personal information about yourself or any confidential Boston College information, that information may be stored and potentially shared with or sold to others.

Important:

Do not use your BC credentials (BC username, password, or any BC email address) to sign up for publicly available AI tools. When you use your BC email address to sign up for online services, even if they are free, you may be putting your personal information and Boston College data at risk. Not all companies meet BC’s security standards when it comes to protecting user data.

‘Confidential' and 'Strictly Confidential' data, as defined by the Boston College Data Security Policy, should not be used in any online AI tool (even if it has data protection), without University review.数据与隐私Data & privacy

University Policies

Use of AI tools must comply with all existing and applicable University policies and procedures. These include the

Data Security Policy

; the

Professional Standards and Business Conduct Policy

; the

Use of University Technological and Information Resources Policy

;

Academic Integrity Policies

; the

Student Code of Conduct

; and the various applicable policies promulgated by Boston College’s constituent colleges, schools, and programs.

Faculty considering the use of AI themselves, or possible use by students in their classes, should refer to the

Center for Teaching Excellence

’s page.

Acquisition of new AI software or subscription, like any other software, is subject to the “

GetTech

” process.

Academic Integrity (Undergraduate)


Academic Integrity (Undergraduate)

The pursuit of knowledge can proceed only when scholars take responsibility and receive credit for their own work. Recognition of individual contributions to knowledge and of the intellectual property of others builds trust within the University and encourages the sharing of ideas that is essential to scholarship. Similarly, the educational process requires that individuals present their own ideas and insights for evaluation, critique, and eventual reformulation学习理由Learning rationale. Presentation of others' work as one's own is not only intellectual dishonesty, but it also undermines the educational process.

Undergraduate: Standards

Undergraduate: Promoting Academic Integrity: Roles of Community Members

Undergraduate: Procedures

Standards

Academic integrity is violated by any dishonest act which is committed in an academic context including, but not restricted to, the following:

Cheating is the fraudulent or dishonest presentation of work. Cheating includes but is not limited to:

the use or attempted use of unauthorized aids in examinations or other academic exercises submitted for evaluation;

fabrication, falsification, or misrepresentation of data, results, sources for papers or reports, or in clinical practice, as in reporting experiments, measurements, statistical analyses, tests, or other studies never performed; manipulating or altering data or other manifestations of research to achieve a desired result; selective reporting, including the deliberate suppression of conflicting or unwanted data;

falsification of papers, official records, or reports;

copying from another student's work;

actions that destroy or alter the work of another student;

unauthorized cooperation in completing assignments or during an examination;

the use of purchased essays or term papers, or of purchased preparatory research for such papers;

submission of the same written work in more than one course without prior written approval from the instructors involved;

dishonesty in requests for make-up exams, for extensions of deadlines for submitting papers, and in any other matter relating to a course.

work generated through unsanctioned and/or undocumented artificial intelligence (A.I.) assistance.默认规则Default rule

Plagiarism is the act of taking the words, ideas, data, illustrations, or statements of another person or source and presenting them as one's own. This includes using the assistance of artificial intelligence (A.I.) text generators to perform central requirements of an assignment违规定性Integrity framing (i.e. reading, synthesizing, interpreting, writing, coding, programming, etc.) without both the explicit permission of the instructor and complete attribution and citation of A.I. assisted components披露要求Disclosure.课程规则优先Instructor override摘录Excerpt

Each student is responsible for learning and using proper methods of paraphrasing, quotation, footnoting, and other forms of citation, to ensure that the original author, speaker, illustrator, or source of the material used is clearly acknowledged.

Other breaches of academic integrity include:

the misrepresentation of one's own or another's identity for academic purposes;

the misrepresentation of material facts or circumstances in relation to examinations, papers, or other evaluative activities;

the sale of papers, essays, or research for fraudulent use;

the alteration or falsification of official University records;

the unauthorized use of University academic facilities or equipment, including computer accounts and files;

the unauthorized recording, sale, purchase, or use of academic lectures, academic computer software, or other instructional materials;

the expropriation or abuse of ideas and preliminary data obtained during the process of editorial or peer review of work submitted to journals, or in proposals for funding by agency panels or by internal University committees;

the expropriation and/or inappropriate dissemination of personally-identifying human subject data;

the unauthorized removal, mutilation, or deliberate concealment of materials in University libraries, media, or academic resource centers.

Collusion is defined as assistance or an attempt to assist another student in an act of academic dishonesty. Collusion is distinct from collaborative learning, which may be a valuable component of students' scholarly development. Acceptable levels of collaboration vary in different courses, and students are expected to consult with their instructor if they are uncertain whether their cooperative activities are acceptable.

Promoting Academic Integrity: Roles of Community Members

Student Roles in Maintaining Academic Integrity

Student Roles in Maintaining Academic Integrity

Students have a responsibility to maintain high standards of academic integrity in their own work and thereby to maintain the integrity of their degree. It is their responsibility to be familiar with, and understand, the University policy on academic integrity.

Students who become aware of a violation of academic integrity by a fellow student should respond in one of the following ways:

Students may discuss their concerns with the student whom they suspect of a violation. Direct contact by another student may be the best means of resolving the problem. Repeated demonstration of student concern for academic integrity will, in the long run, build a peer-regulated community.

If the incident is a major violation or part of a repeated pattern of violations, students should bring their concerns to the attention of the instructor or to the appropriate department chairperson or associate dean. Suspected violations by students reported to members of the faculty or to an associate dean will be handled according to the procedures set forth below.

Students who have serious concern that a faculty member is not living up to his or her responsibility to safeguard and promote academic integrity should speak with the faculty member directly or bring their concern to the attention of the department chairperson or associate dean.

Faculty Roles in Fostering Academic Integrity

Faculty Roles in Fostering Academic Integrity

Faculty members should provide students with a positive environment for learning and intellectual growth and, by their words and actions, promote conditions that foster academic integrity.

Faculty should be concerned about the impact of their behavior on students. Students are sensitive to messages communicated in informal discussions and in casual faculty remarks about personal decisions and value judgments. Students are perhaps most sensitive to how responsibly faculty members fulfill their obligations to them in the careful preparation of classes, in the serious evaluation of student achievement, and in their genuine interest in and availability to students.

Faculty should promote academic integrity in the following specific ways:

At the beginning of each course, instructors should discuss academic integrity in order to promote an ongoing dialogue about academic integrity and to set the tone and establish guidelines for academic integrity within the context of the course, e.g., the extent to which collaborative work is appropriate. Where relevant, instructors should discuss why, when, and how students must cite sources in their written work.

Instructors should provide students with a written syllabus that states course requirements and, when available, examination dates and times.

Instructors are encouraged to prepare new examinations and assignments where appropriate each semester to ensure that no student obtains an unfair advantage over his or her classmates by reviewing exams or assignments from prior semesters. If previous examinations are available to some students, faculty members should ensure that all students in the course have similar access. Course examinations should be designed to minimize the possibility of cheating, and paper assignments should be designed to minimize the possibility of plagiarism.

Proctors should be present at all examinations, including the final examination, and should provide students with an environment that encourages honesty and prevents dishonesty.

Faculty should respect students' intellectual property and the confidentiality of student academic information.

Assignment of grades, which is solely the responsibility of the instructor, should be awarded in a manner fair to all students.

Academic Deans

Academic Deans

Academic deans have overall responsibility for academic integrity within their schools. In particular, deans' responsibilities include the following:

promoting an environment where academic integrity is a priority for both students and faculty, ensuring that students who are honest are not placed at an unfair disadvantage, and establishing procedures to adjudicate charges of academic dishonesty and to protect the rights of all parties.

Procedures

Academic integrity is central to the educational and formative mission of the University. A University-Wide Undergraduate Academic Integrity Committee, made up of Academic Officers from each of the Undergraduate Schools and Colleges, reviews all reports of academic dishonesty. Faculty and students are consulted on an ad-hoc basis depending on the case.

When a faculty member determines that a student's work violates the standards of academic integrity, the faculty member is encouraged to discuss the matter with the student. The faculty member should notify the student of the substance of the violation and the action that the faculty member proposes to take. If the faculty member decides to impose a grading penalty, a letter of notification describing the incident, the evidence supporting the allegation, and the proposed grading penalty is to be sent to the Associate Dean of the school or college in which the course is taught.

On receipt of such a notification, the Undergraduate Academic Integrity Committee will notify the student of the allegation and the evidence. If the course is outside of the student’s home school or college, the student’s class Dean will also be notified. The student will be given an opportunity to respond to the allegation in writing (within 5 business days). The Committee is dedicated to resolving cases in a just and timely manner and to maintaining the confidentiality of any students involved. While a case is pending, the student may not withdraw from or change status in the course.

Each reported violation of the standards of academic integrity will be reviewed by the University-Wide Undergraduate Committee on Academic Integrity. This will ensure that, in cases involving students from more than one school or students in joint or dual degree programs, the process and penalty will be consistent.

The committee's approach is a formative one that expects students to reflect on their experience, understand the impact of their choices, and make decisions differently based on what they've learned. The approach is meant to be educational and restorative, rather than punitive. A finding of responsibility requires a preponderance of the evidence—that is, evidence showing that it is more likely than not that the alleged violation occurred.

Consequences for Students Found Responsible

Consequences for violations will depend upon the seriousness and circumstances of the violation, the degree of premeditation involved, and the student's previous record of violations.

The committee may issue a warning as the sole consequence, with no additional penalty.

The committee may affirm the faculty member's penalty and issue the student a "warning," which will be kept in a confidential electronic file until the student graduates and will not be reportable to professional schools or outside agencies.

The Committee may recommend a different grading penalty and/or impose additional administrative penalties.

The most severe penalties may include university probation, suspension, or expulsion, all of which become part of a student's academic record and are reportable to graduate/professional schools and outside agencies.

The Associate Dean of the school in which the course is taught will convey to the faculty member and the student the Committee’s findings as to responsibility and recommended sanctions. Appeal of the Committee's decision may be made by written request to the Dean of the school or college of the course not later than ten days following notification. The decision of the Dean will be final.

Summary of Process

Step 1: The faculty member is encouraged to discuss the matter with the student.

Step 2: The faculty member should notify the student of the substance of the violation and the action that the faculty member proposes to take.

Step 3: If the faculty member decides to impose a grading penalty, a letter of notification describing the incident, the evidence supporting the allegation, and the proposed grading penalty is to be sent to the Associate Dean of the school or college in which the course is taught.

Step 4: The Undergraduate Academic Integrity Committee will notify the student, who will be given an opportunity to respond to the allegation in writing (within 5 business days).

Step 5: The case will be reviewed by the University-Wide Undergraduate Committee on Academic Integrity.

Step 6: The Associate Dean of the school in which the course is taught will convey to the faculty member and the student the Committee’s findings as to responsibility and recommended sanctions.

Step 7: Appeal of the Committee's decision may be made by written request to the Dean of the school or college of the course not later than ten days following notification. The decision of the Dean will be final.

以下为整理者所写的高中适用要点,非该校原文,不作为任何条款的依据。Below: the collector’s notes on application to high school — not the university’s text, and not used as evidence for any provision.

High-school adaptation takeaways

  • 中学作业提前界定核心能力训练不可外包的部分,同时规定教师同意和可核查引用格式;分别告知学生招生材料与课堂任务不能互相授权。