Princeton University Changes Test Rules

A2

Princeton University Changes Test Rules

Introduction

Princeton University will now watch students during tests. They did not do this for 100 years. Now, students use AI to cheat.

Main Body

For a long time, students took tests alone. They promised to be honest. But now, many students cheat. A survey shows that about 30% of students cheated. Engineering students cheat more than art students. Students use AI and phones to get answers. Many students see others cheat, but they do not tell the teachers. They are afraid that other students will be mean to them on the internet. Now, teachers must stay in the room during tests. This starts on July 1. Teachers will watch the students. If a student cheats, the teacher writes it down. Then, a student court decides the punishment.

Conclusion

Princeton will watch tests this summer. This stops AI cheating and helps students.

Learning

πŸ•’ The 'Now vs. Before' Shift

Look at how the story changes from the past to today. This is the secret to moving from A1 to A2.

The Past (Old Way)

  • They did not do this.
  • Students took tests alone.
  • They promised to be honest.

The Present (New Way)

  • Students use AI.
  • Many students cheat.
  • Teachers must stay in the room.

πŸ’‘ Simple Rule for You: When you talk about a change, use these two markers:

For a long time β†’ [Past Action] Now β†’ [Present Action]

Example from text: For a long time, students took tests alone β†’\rightarrow Now, students use AI.

Vocabulary Learning

change (v.)
to make something different or alter it
Example:The school will change the exam rules next week.
test (n.)
a set of questions or tasks to check knowledge
Example:She took a short test in math.
watch (v.)
to look at something carefully for a period of time
Example:The teacher will watch the students during the test.
students (n.)
people who study at school or university
Example:Many students signed up for the course.
cheat (v.)
to act dishonestly to get an advantage
Example:He was caught when he tried to cheat on the exam.
honest (adj.)
truthful and fair
Example:She is very honest about her mistakes.
survey (n.)
a set of questions answered by many people
Example:The survey showed that many students cheated.
engineering (n.)
a type of study that focuses on designing and building things
Example:Engineering students work on building bridges.
phone (n.)
a device used for calling or texting
Example:He used his phone to look up the answer.
answer (n.)
a response to a question
Example:The answer to the question was 42.
teacher (n.)
a person who teaches others
Example:The teacher explained the lesson.
afraid (adj.)
feeling scared or worried
Example:She was afraid of speaking in front of the class.
mean (adj.)
unkind or harsh
Example:The mean teacher gave a strict lecture.
internet (n.)
a worldwide network of computers
Example:They connected to the internet to research.
punishment (n.)
a penalty given for a wrongdoing
Example:The punishment for cheating was a failing grade.
B2

Princeton University Requires Exam Supervision Due to Rise of AI

Introduction

Princeton University has decided to end a century-old tradition of unsupervised exams. This change comes in response to an increase in cheating made easier by artificial intelligence.

Main Body

Since 1893, Princeton relied on an honor code that allowed students to take exams without faculty supervision. However, this system is now under great pressure. A 2025 survey of senior students showed that 29.9% admitted to academic dishonesty. This was especially common among engineering students, where 40.8% admitted to cheating, compared to 26.4% of arts students. Both faculty and students are concerned about the widespread use of generative AI and smartphones. Dean Michael Gordin emphasized that these tools have made it much easier to cheat and harder for teachers to notice. Furthermore, many students are afraid to report dishonesty. About 44.6% of seniors saw others cheating but stayed silent because they feared social retaliation, such as being shamed or 'doxxed' on social media. Consequently, the faculty approved a new rule requiring instructors to be present at all in-class exams starting July 1. Under these new rules, teachers will act as observers and document any cheating for the student-run Honor Court to judge. This change reflects a larger problem in universities, where some educators believe that AI tools are causing students to stop thinking critically and simply manage their workload.

Conclusion

Princeton will start supervised testing this summer to reduce AI-driven cheating and remove the social pressure from students who report misconduct.

Learning

⚑ The Power of 'Cause and Effect' Connectors

At the A2 level, you probably use 'because' for everything. To reach B2, you need to show that you can link complex ideas using a variety of transitions. This article is a goldmine for this.

🧩 Moving Beyond "Because"

Look at how the text connects a problem to a result. Instead of just saying "X happened because of Y," the author uses these sophisticated bridges:

  • "In response to..." β†’\rightarrow Used when an action is a direct reaction to a specific event.
    • Example: "Princeton changed the rules in response to AI cheating."
  • "Consequently..." β†’\rightarrow This is a professional way to say "so" or "as a result." It marks a logical conclusion.
    • Example: "Students are cheating; consequently, teachers must be present."
  • "Due to..." β†’\rightarrow A more formal version of "because of." It usually introduces the reason for a change.
    • Example: "Supervision is required due to the rise of AI."

πŸ› οΈ The B2 Upgrade Path

Compare these two ways of saying the same thing. The second one sounds like a B2 speaker:

A2 Style: AI is popular, so students cheat. They don't report it because they are afraid.

B2 Style: Due to the popularity of AI, students are cheating. Furthermore, many stay silent in response to the fear of social retaliation.

πŸ’‘ Pro-Tip: The "Furthermore" Boost

Notice the word "Furthermore" in the text. A2 students often use "and" or "also." Use Furthermore when you want to add a second, stronger point to your argument to make your English sound more academic and persuasive.

Vocabulary Learning

supervision (n.)
The act of watching or overseeing something to ensure it is done correctly.
Example:The teacher's supervision of the exam helped prevent cheating.
tradition (n.)
A long-established custom or practice.
Example:The college has a tradition of holding graduation ceremonies in the spring.
unsupervised (adj.)
Not watched or monitored.
Example:The students completed the test unsupervised, which led to many instances of cheating.
response (n.)
An answer or reaction to something.
Example:The university's response to the cheating problem was to introduce stricter rules.
cheating (n.)
The act of breaking rules to gain an unfair advantage.
Example:Cheating on exams undermines the value of education.
artificial (adj.)
Made by humans rather than occurring naturally.
Example:Artificial intelligence can generate realistic text.
intelligence (n.)
The ability to learn, understand, and apply knowledge.
Example:The program uses artificial intelligence to assist students.
honor (n.)
High respect or esteem.
Example:The honor code requires students to act honestly.
code (n.)
A set of rules or principles.
Example:The honor code outlines expectations for student behavior.
faculty (n.)
The teaching staff of a university.
Example:Faculty members voted to change the exam policy.
pressure (n.)
The feeling of being forced to do something.
Example:Students feel pressure to perform well.
survey (n.)
A systematic collection of information from a group of people.
Example:A survey revealed that many students admit to cheating.
senior (adj.)
A student in their final year of study.
Example:Senior students often face the most rigorous exams.
admitted (v.)
Confessed or acknowledged.
Example:Students admitted to using AI tools during tests.
academic (adj.)
Relating to education or scholarship.
Example:Academic dishonesty damages the institution's reputation.
dishonesty (n.)
The act of being untruthful or unfair.
Example:Dishonesty in exams is a serious offense.
widespread (adj.)
Common or found everywhere.
Example:The use of smartphones during exams is widespread.
generative (adj.)
Capable of producing or creating.
Example:Generative AI can produce essays in seconds.
smartphones (n.)
Mobile phones with advanced features.
Example:Students used smartphones to look up answers.
rule (n.)
An established principle governing conduct.
Example:A new rule requires instructors to be present during exams.
observers (n.)
People who watch or monitor an event.
Example:Observers recorded any cheating incidents.
document (v.)
To record or write down information.
Example:Teachers will document any violations for the Honor Court.
judge (v.)
To assess or decide on something.
Example:The Honor Court will judge whether the student is guilty.
problem (n.)
A difficult or unsolved situation.
Example:Cheating has become a major problem.
educators (n.)
People who teach or educate.
Example:Educators worry about students losing critical thinking skills.
critically (adv.)
In a critical or essential way; with careful evaluation.
Example:Students must think critically to solve complex problems.
manage (v.)
To handle or control.
Example:Students need to manage their workload effectively.
workload (n.)
The amount of work that needs to be done.
Example:Balancing a heavy workload can be stressful.
reduce (v.)
To make something smaller or less.
Example:The new policy aims to reduce cheating.
remove (v.)
To take away or eliminate.
Example:The school will remove the temptation to cheat.
misconduct (n.)
Wrongful or improper behavior.
Example:Misconduct can lead to disciplinary action.
C2

Princeton University Mandates Examination Proctoring Following Proliferation of Generative Artificial Intelligence

Introduction

Princeton University has voted to terminate a century-long tradition of unproctored examinations in response to an increase in academic dishonesty facilitated by artificial intelligence.

Main Body

The institutional framework for academic integrity at Princeton was established in 1893, predicated on an honor code that dispensed with the requirement for faculty supervision during assessments. However, this system has encountered significant systemic strain. Data from a 2025 survey of seniors indicates that 29.9% of respondents admitted to academic misconduct, with a higher prevalence among Bachelor of Science in Engineering candidates (40.8%) compared to Bachelor of Arts students (26.4%). Stakeholder positioning reveals a convergence of faculty and student concerns regarding the ubiquity of generative AI and mobile devices. The administration, represented by Dean Michael Gordin, noted that these technologies have lowered the threshold for obtaining unfair advantages and obscured the visibility of misconduct. Furthermore, the reporting mechanism has been compromised; 44.6% of seniors witnessed violations but abstained from reporting them. This reluctance is attributed to the risk of social retaliation, specifically 'doxxing' or peer shaming via social media platforms. Consequently, the faculty approved a mandate requiring instructor presence at all in-class examinations effective July 1. Under this revised protocol, instructors will function as observers rather than active intervenors, documenting infractions for subsequent adjudication by the student-run Honor Court. This shift reflects a broader pedagogical crisis within higher education, where the frictionless nature of Large Language Models (LLMs) is perceived by some educators as a catalyst for the outsourcing of cognitive labor, transforming academic pursuit into mere workload management.

Conclusion

Princeton will implement supervised testing this summer to mitigate AI-driven cheating and alleviate the social burden of peer reporting.

Learning

The Architecture of Nominalization and High-Density Lexis

To transition from B2 to C2, a student must move beyond describing actions and begin conceptualizing states. The provided text is a masterclass in Nominalizationβ€”the process of turning verbs or adjectives into nouns to create an objective, academic distance.

⚑ The 'Cognitive Shift': From Action to Concept

Compare these two versions of the same idea found in the text:

  • B2 approach: AI makes it easier for students to cheat and harder for teachers to see it.
  • C2 approach (The Text): *"...these technologies have lowered the threshold for obtaining unfair advantages and obscured the visibility of misconduct."

In the C2 version, the writer doesn't just say "it's harder to see"; they create a noun phrase (the visibility of misconduct) and apply a precise verb (obscured). This transforms a simple observation into a systemic analysis.

πŸ”¬ Precision Anatomy: The 'Latinate' Power-Pairings

C2 mastery is signaled by the ability to pair high-level adjectives with abstract nouns to create specific nuance. Notice these pairings in the text:

AdjectiveAbstract NounC2 Nuance
SystemicStrainNot just 'stress,' but a failure of the entire structure.
FrictionlessNatureNot just 'easy,' but devoid of the effort required for learning.
SubsequentAdjudicationNot just 'later decision,' but a formal legal/academic process.

πŸ› οΈ The 'Outsourcing' Metaphor

One of the most sophisticated linguistic moves in the article is the phrase:

*"...the outsourcing of cognitive labor..."

By using "outsourcing" (a business term) and "cognitive labor" (a psychological term), the author frames academic cheating not as a moral failing, but as an economic transaction of the mind. This intersection of disciplines is a hallmark of C2-level writing: using terminology from one field to provide a critique of another.

Vocabulary Learning

proliferation (n.)
the rapid increase or spread of something
Example:The proliferation of smartphones has transformed everyday communication.
predicated (v.)
based on or founded upon
Example:Her argument was predicated on the assumption that all participants were honest.
dispensed (v.)
to provide or to do away with
Example:The school dispensed with the old exam schedule to accommodate online learning.
systemic (adj.)
relating to or affecting the whole system; widespread
Example:The company faced systemic corruption that required a full audit.
prevalence (n.)
the state or condition of being widespread or common
Example:The prevalence of the flu increased during the winter months.
convergence (n.)
the process of coming together or aligning
Example:The convergence of technology and education has led to new teaching methods.
ubiquity (n.)
the state of being present everywhere; omnipresence
Example:The ubiquity of social media makes it hard to escape online influence.
intervenors (n.)
persons who intervene or act as mediators
Example:The intervenors tried to calm the heated debate between the parties.
adjudication (n.)
the legal process of making a judgment or decision
Example:The adjudication of the dispute took several months.
pedagogical (adj.)
relating to teaching methods and practice
Example:The university adopted a pedagogical approach that emphasizes active learning.
frictionless (adj.)
lacking friction; smooth and effortless
Example:The new payment system is frictionless, allowing instant transfers.
outsourcing (v.)
the act of delegating tasks or responsibilities to external parties
Example:The company outsourced its customer support to a call center abroad.
cognitive (adj.)
relating to mental processes such as thinking, understanding
Example:Cognitive development is crucial during early childhood.
mitigate (v.)
to make less severe or reduce
Example:The new policy aims to mitigate the impact of climate change.
alleviate (v.)
to relieve or ease
Example:The medicine helped alleviate her chronic pain.
doxxing (v.)
the act of publicly revealing personal information about someone
Example:The hacker engaged in doxxing to intimidate the whistleblower.
proctored (adj.)
supervised or monitored during an exam
Example:All online courses now require proctored exams to ensure integrity.
unproctored (adj.)
not supervised during an exam
Example:The shift to unproctored exams raised concerns about cheating.