How Colleges & Educational Institutions Detect AI-Generated Content

How Colleges & Educational Institutions Detect AI-Generated Content

How Colleges & Educational Institutions Detect AI-Generated Content

2025-02-25

Artificial intelligence solutions are becoming a part of users’ daily lives. Such innovative tools can significantly contribute to more productive work results. However, these AI solutions are not always used correctly and ethically. Students who discover AI text generation tools can instantly create high-quality texts. Meanwhile, educational institutions, aware of this and wanting students to demonstrate their unique knowledge, are looking for solutions to detect work done using advanced technologies instead of the students themselves. For this purpose, AI detection tools come to the rescue.

AI Text Generation and AI Detection Tools Tendencies

The current capabilities of AI far exceed imagined expectations. Today, AI text generation tools can create texts of the same quality as human resources. It’s no wonder that people are inclined to use such tools. According to Market Us statistics, the global AI text generator market in 2023 was valued at $425 million, with OpenAI, CopyAI, INK, and others remaining the market leaders.

At first glance, this seems like an excellent alternative, especially for those working in creative fields, such as marketing and content management specialists. On the other hand, the expectations for analytical texts or those created in academic environments are stricter.

Creating such texts using AI tools, especially without disclosure, is considered unethical. It also fails to reveal the unique thoughts, knowledge, and insights of an individual. Thus, particularly in academic settings, there arose a need to find ways to detect potentially illegitimate student activities.

AI detection tools help educational institutions determine whether the content submitted by students was created using AI. These tools indicate the level of originality of the submitted content.

Researchers at Northeastern University studied AI text structures (AI-generated texts of specific types) and made several conclusions about AI-generated content. They found that AI tools create content that is fairly template-based: recurring adjectives and identical sentence structures are commonly found. This can often be detected, at least partially, even without AI detection tools.

It is also worth highlighting that AI-generated texts exhibit the following characteristics:

  • Completely free of grammatical errors.
  • Excessive repetition of certain words or phrases.
  • Lack of emotion and an absence of a distinct tone.
  • Factual inaccuracies.
  • Lack of context and abrupt transitions in the text.

While this may be harder to detect in universities, schoolteachers who are familiar with their students’ writing styles can already identify certain inconsistencies based on these aspects. These inconsistencies may indicate the use of AI.

AI Detection Tools for Text Verification

When it comes to the operation of such programs, it can be noted that certain text characteristics are analysed. These tools evaluate the submitted text based on features such as word choice, voice, grammar, and overall style. By comparing the features of AI-written texts with datasets of human-written texts, they can identify and detect AI-generated content.

AI detection tools are considered a highly powerful solution, with accuracy rates reaching up to 98%. However, as this is still relatively new technology, attention must be paid to the remaining 2% margin of error.

Despite this, there are several robust AI detection tools available on the market that can help teachers or professors check for AI use in students’ work. These tools highlight potential AI-generated sections within the submitted text and often indicate the overall percentage of AI integration:

  1. TraceGPT. A tool rated as highly accurate.
  2. Avilys. A free tool that analyses not only text but also images, videos, and audio.
  3. GPTZero. This platform uses a seven-layer detection model and integrates two AI evaluation elements: perplexity and burstiness.

Final Thoughts

As we can see, colleges and educational institutions are catching up with the advancements in AI technology and its application by students in completing assigned tasks. While any AI detection tools must be critically evaluated for now, it is one of the alternatives that enables the reliable identification of AI use in generating texts.

If you are interested in this topic, we suggest you check our article:

Sources: BuiltIn, Market Us, Northeastern Global News, Originality.ai, Zapier

How Colleges & Educational Institutions Detect AI-Generated Content
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