How Does Artificial Intelligence Extract?

The use of artificial intelligence in universities is now seen as a structural transformation that directly affects academic assessment systems, not only as a technological innovation. In recent years, especially ChatGPT and so on The prevalence of productive artificial intelligence tools carried out a new discussion in the educational world: Does artificial intelligence increase note inflation?

A comprehensive research conducted in the University of California Berkeley Campus gives remarkable answers to this question. The results of the research reveal that students raise the note averages of using artificial intelligence-supported tools intensively, but also weaken the reliability of the GPA system.

Is GPA Reliability Hazard?

Fair evaluation and academic integrity in higher education, in case digital transformation has entered one of the most sharp bends. "not inflation", which has been discussed as a structural problem of educational world for many years, the productive artificial intelligence (Generative AI) has won an unprecedented momentum with massization.

University of California, Berkeley Centre for Higher Education Studies (CSHEA new study carried out by the researcher Igor Chirikov, revealed with scientific data that the use of artificial intelligence in higher education directly blowers the note inflation and the most basic indicator of academic success is considered GPA (General Note Average).

Research shows that artificial intelligence is not only an efficiency tool but also the measuring-revaluation mechanisms face a structural crisis.

GPA Reliability Slimming and Academic Justice

GPA in the academic world is the most prestigious signal mechanism that advertises information accumulation, discipline and competence of a student to potential employers or postgraduate programs. However, note inflation that artificial intelligence blowers, this signal seriously disrupts.

1. Devaluation of diplomas and Response of Business World

In a climate that everyone graduated with high notes, the difference between students who are really qualified and students hiding behind AI is lost. This is the trust of employers with GPA criteria. Recently some global companies recruitmentIt is a tangible reflection of this unsecuredness to apply their own independent selection exams by completely ignored the base GPA requirement or university notes.

2. 2. Unfair Competition For Honest Students

The uncontrolled domination of artificial intelligence in academic processes gives birth to a great unfairness for students who prepare homework with their own labor, depending on the technology-distance or ethical principles. A student who takes "B" with his own mental effort, is exposed to the equality of the opportunity by returning a "A" domain friend with the assignment printed on artificial intelligence.

'A' Note Explosion in Directly Affected Lessons from Artificial Intelligence"

Within the scope of Berkeley research, notes and academic records received more than 500 thousand students from 2018-2025 in a major research university in Texas were taken under the lens. In the study, fracture points were analyzed especially after 2022 that ChatGPT enters our lives.

The most striking bulgus of the research was note increases in the courses affected directly from this technology, which is open to the use of productive artificial intelligence. Especially in assignment-oriented lessons such as writing and coding, the ratio of students receiving "A" showed a dramatic increase in about 30%, compared to ChatGPT before.

On the face-to-face exam, which is more closed to the effects of artificial intelligence, a radical deviation was observed. This situation directly validates the hypothesis caused by the manipulative effect of artificial intelligence tools rather than a general student success of note growth.

When the global financial giants such as Barclays and Morgan Stanley are thought to be looking for a minimum GPA threshold in the internship applications, this measure becomes increasingly misleading. The researchers characterize this situation as a new ring of inflation, which consists of the CV and preliminary articles of artificial intelligence.

ChatGPT Training Effect: Three Different Use Format

The researchers identified AI student usage under three basic categories. This classification reveals that the matter only goes beyond a simple ethical problem such as copying:

1. Supporting Use (Augmentation)

The large part of the student work itself completes; artificial intelligence is only undertaken supporting roles, such as research, resource proposal or draft improvement. This way of use does not threaten the learning process seriously.

2. 2. Re-Frameing (Reinstatement)

AI-based tasks are substituted instead of traditional assignments. For example, to design a prompt that redirects an artificial intelligence tool instead of writing an article. The skills gained vary, measured competencies are different.

3. Logging (Displacement)

Artificial intelligence completely automates the work that student needs to be undertaken in person. Print a trial from AI is the most pronounced example of it. Research points out that note increases are mainly caused by behaviour in this third category.

Artificial Intelligence in Universities: The Policy No Gap

Research findings also show that the use practice of policy development remains very back. The U.S. teacher and students are seen to refer to artificial intelligence tools with 85 percent of each two sides at the time of 2024–25. The academic policies against this cannot capture this speed.

Princeton University has concreted its reaction with a corporate step: Faculte board was forced to perform all the exams from July 1, 2026. As required, uncontrolled access to AI was announced. Similar angles are seen in European universities, but corporate reactions are largely left to the individual academic initiative.

Is Learning, Performance?

The most striking detection of the Berkeley researcher Chirikov is perhaps the question of this: Do students who graduated with high note have cognitive skills that can independently write reports when they work and produce analysis? The learning experience defined as "Verimous struggle" requires difficulty, error, and lesson from these errors. This process of AI disables the development of long-term competence while short-term note increases.

How Does Mechanism Work? Payable Systems Alarm

Igor Chirikov, the main mechanism behind this uncontrolled note inflation Home explains the load as being transferred to artificial intelligence. The notes of artificial intelligence are based on the dynamics:

Home Weight of Home Payers: Research data shows that note inflation is much more pronounced in courses where the final grade effect of home-made assignments and projects are high. Students offer their own work as their outputs from ChatGPT and similar vehicles without supervision in home environment.

Home Determination of cognitive Order: Artificial intelligence does not only inspire students or control their work; it is completely undertaken cognitive processes such as critical thinking, synthesis and producing original content.

Home Evaluation of Teaching Elements: Text or codes produced by artificial intelligence are taking high notes from academicians, as it is perfect for language information. But this situation does not reflect whether the student really grasps the topic.

Solution Advice for Academicians and Universities

This structural crisis reveals that high school institutions need to urgently revise traditional measuring-value methods. Artificial intelligence refers to the realization of the following radical transformations in universities in order to prevent the inflation and maintain academic integrity:

Home Changing Test Strategies: The note weight of home assignments and remote delivered projects should be reduced; in-class, surveillance (invigilated), instant typing and coding exams (in-class assessments).

Home Oral Defense Systems: In particular, in high-point projects and thesis studies, students should be forced to prove their judges to defend and methodical details in front of the jury.

Home Artificial Intelligence Literacy and Transparent Policies: It is not a realistic solution to completely ban artificial intelligence. Universities should specify the course watch (syllabus) with clear lines where artificial intelligence can be used in the limits and develop mechanisms of "heffaf use declaration".

Academy Increases a New Reference Framework

Artificial intelligence note inflation, educational institutions Home Reviews He pushes his understanding to design. While traditional noteing is not enough alone, complementary criteria such as oral exam, process portfolyosu and surveillance assessment are regaining value. The main question for academicians is no longer "Do we banAI?" but "We can measure real learning with what means?" is turning into the question.

OECD 2026 Digital Education View ü The report also pays attention to similar findings: The performance increase in artificial intelligence-supported assignments is observed, but this increase always turns into a permanent learning. It can restrict the development of skills in the long run of cognitive load to artificial intelligence. Turkey is among the countries that use artificial intelligence intensively outside the school, this situation reveals that the subject is not only a US-based problem.

Academic camia can be called "A" letters in note cards as long as it does not rebuild measuring-value criteria in accordance with the era of artificial intelligence.