Artificial intelligence (AI) is no longer a futuristic concept, but a reality that is profoundly changing how we access knowledge, learn, and teach. From the emergence of tools like ChatGPT in 2022, through the expansion of virtual assistants, to the integration of algorithms into educational platforms, AI is rapidly reshaping learning environments. But what does this really mean for students, teachers, and educational institutions?

A bit of history: from idea to classroom

The term artificial intelligence AI was born in 1956 at Dartmouth College (USA), in a summer course organized by John McCarthy and other pioneers in the field (Ganascia, 2018). Since then, AI has evolved rapidly: from reactive and simple systems, such as IBM's Deep Blue—capable of beating the world chess champion—(Campbell et al., 2002), to generative models that today can write essays, create images, compose music, program, and analyze large volumes of data in a matter of seconds (Juca-Maldonado, 2023).

Currently, we distinguish at least four major types of AI:

• generative AI, which creates original content (text, images, code, music).
• Predictive AI, which analyzes data to anticipate trends.
• Reactive AI, which responds to immediate stimuli.
• AI with limited memory, which learns from recent experiences (Schaeffer & van den Herik, 2002; Dezzai, 2024).

These technologies are not mutually exclusive and are often combined for better results. What matters most today is not just what they do, but how they do it. They are integrated into daily life and education.

AI and education: opportunities and challenges

In 2019, UNESCO was already warning about the need

d of To integrate AI into education in an equitable, inclusive, and ethical manner, with 44 strategic recommendations (UNESCO, 2019). Since then, its impact on universities, schools and continuing education spaces has grown exponentially.

The European University Association (2023) has indicated that the main repercussions are in the teaching and learning processes and, especially, in assessment. Students are increasingly using these tools not only to search for information, but also to create content, organize your study and automate repetitive tasks (Popenici & Kerr, 2017; Salloum et al., 2024).

Among the most notable advantages are:

• Personalized learningAI adapts content and pace to individual needs.
• Intelligent tutoring: virtual assistants that provide guidance and immediate feedback.
• Greater access to resourcesThe information is available in multiple formats and languages.
• Task automationIt allows you to dedicate more time to critical and creative thinking.

However, There are also risks. One of the main challenges is the difficulty of detecting plagiarism in AI-generated content (Juca-Maldonado, 2023), as well as the loss of privacy, the homogenization of academic discourse (Wilson & Thompson, 2023), and the so-called hallucinations, false but convincing answers that some models generate (Ji et al., 2022).

The rise of generative AI and its impact on learning

In academia, tools like ChatGPT, DALL·E, and Copilot have become part of the daily lives of millions of students. According to Nature Editorial (2023), 38% of researchers already use AI in their scientific work. This phenomenon also extends to secondary and higher education: between 70% and 90% of young people aged 16 to 22 use AI in their academic work.

In a survey of 221 students (Edukia, 2025) —149 high school and 72 university students—, 100% of respondents said they knew ChatGPT and 30% said they used conversational AI weekly.

Other recent studies indicate that 21.4% of university students perceived improvements in their grades after using these tools, while 75% observed no changes. 71.4% acknowledged detecting errors in the generated responses (Acosta-Enríquez et al., 2024; Becićirović et al., 2025). This suggests that AI does not replace human learning, but rather accompanies and amplifies it —provided it is used judiciously—.

PLE + AI: a flexible learning ecosystem

Personal Learning Environments (Personal Learning Environments Personal Learning Environments (PLEs) are flexible systems where each person builds their own ecosystem of tools, networks, and resources for learning (González-Calatayud et al., 2022). AI enhances this approach by offering:

• Sensors and algorithms that recommend relevant content.
• Virtual assistants that guide the process.
• Automatic feedback that improves autonomy.

Recent studies show that integrating AI into PLEs improves self-efficacy, the customization of learning paths and the emotional regulation (Liu et al., 2024; Xu et al., 2023). This means that learning ceases to be linear and homogeneous, and adapts to each individual, strengthening personal agency and motivation (Javorcik, 2017).

Ethics, biases, and hallucinations: the limits of AI

Despite its advantages, educational AI has limitations that cannot be ignored:

• Hallucinations: false answers with an appearance of truth (Ji et al., 2022).
• Biases: the models reproduce biases present in the data with which they were trained (Mantelero, 2018).
• PrivacySharing sensitive information on free platforms involves risks.
• Lack of original creativityAI combines previous data, but does not genuinely innovate (Wang et al., 2022).

Therefore, several organizations and authors propose digital literacy and ethics strategies, that allow users to use these tools critically and responsibly (Castaneda-Fernández et al., 2024; Montebello, 2018).

A revolution underway: trends and future challenges

Bibliometric studies show a exponential growth of research in educational AI since 2020 (Aria & Cuccurullo, 2017; Aria et al., 2024). Current trends point to:

• Personalized learning with generative AI.
• Use of chatbots and intelligent tutors.
• Ethical regulation and data protection.
• Integration with university digital ecosystems.
• Teacher training in AI and technological literacy.

Higher education is one of the most dynamic sectors: 71% of European universities have implemented innovative strategies and 86% actively analyze technological trends applied to teaching (Artiaga et al., 2023).

Conclusion: Use AI without losing our humanity

AI will not replace teachers or students, but Yes, it will profoundly transform the way they learn, teach, and collaborate.. In the face of this silent revolution, the following is essential:

• Training in critical thinking and digital literacy.
• Establish ethical frameworks and clear regulations.
• Promote the responsible and equitable use of tools.
• Ensure that technology complements—and does not replace—the human dimension of learning.

Like all disruptive technologies, AI brings both opportunities and risks. Its impact will depend less on what the machine can do… and more on how the educational community decides to use it.