Artificial Intelligence and Education: A Teacher’s Perspective

In this article, I explore the current state of AI in education, the perceptions of teachers and students of this technology, and I will seek to understand how it could shape our future in a positive way for all.

AI in Education: The Current State

According to a recent study published in the “Journal of Science Education and Technology,” AI is already being used in many aspects of education, including personalized teaching, student assessment, and even school management. More and more schools are already using AI in various aspects of education, offering new learning opportunities to students.

One of the main uses of AI is personalized teaching. Thanks to sophisticated AI systems, teachers can analyze students’ performances on an individual level. This allows for adapting teaching to the specific needs of each student, filling in the gaps in their learning, and fostering improved academic results.

Another study published in “Learning and Instruction” revealed that AI can also help to promote collaborative learning by facilitating communication and collaboration among students.

But that’s not all! Another exciting study published in “Learning and Instruction” highlights the role of AI in promoting collaborative learning. Through AI systems, students can collaborate more easily with each other. Group activities are coordinated efficiently, and online discussions are facilitated, encouraging an interactive and enriching learning environment.

However, it is important to note that AI in education is still in development. Additional research is needed to fully explore the benefits and limitations of this technology. Teachers, educators, and policymakers must continue to collaborate to integrate AI judiciously into classrooms and ensure that its use remains ethical and inclusive.

As we continue to explore the multiple facets of this technology, it is essential to ensure that its use is based on ethical principles and contributes to reducing inequalities by providing quality education to all learners.

Perception of Teachers and Students

The perception of AI varies considerably between teachers and students. In fact, while it converges in essence, it diverges in form and perception.

According to a study published in “Technology, Pedagogy and Education,” many teachers see AI as a threat to their profession, fearing that it will replace human teachers. However, this study also revealed that teachers with a deeper understanding of AI are more likely to see it as a valuable tool that can improve teaching and learning. We find the same sentiments from the same audience in several interviews and videos available on YouTube that concern teachers facing this evolution. As a human stakeholder in the field, I can only confirm this trend among my fellow teachers and trainers from various schools.

It is generally recognized that AI can be a powerful tool for education, but many professionals emphasize that its use must be guided by a deep understanding of AI and particular attention to equity and inclusion. For example, it has been highlighted that AI has the potential to exacerbate inequalities in education if used in a way that favors students who already have access to technological resources. On the other hand, if used wisely, AI could reduce existing barriers due to the difficult-to-scale human nature of today’s educational methods.

Some examples of ethical and responsible use of this technology aim for improved access to resources while offering personalized learning. AI can play a positive role in this regard.

I think that the introduction in education could offer expanded access to resources and learning opportunities: learning platforms (online or in support of physical teaching) can provide educational content of equal quality and content and accessible to all students regardless of their geo-political situation or motor, visual, auditory, cognitive, or language difficulties. This could help bridge the gaps in access to educational resources due to the lack of human resources in the education system and thus provide equitable learning opportunities without (political or other) borders in a short time.

AI can allow a more personalized approach to learning by adapting courses and activities to the specific needs of each student. This is particularly beneficial for students with special educational needs, as AI can provide individualized support and tailored recommendations based on their skills and interests. This personalization can help reduce performance gaps and promote a more inclusive education.

AI systems can analyze students’ performances in real-time and detect signs of learning difficulties. This allows teachers to intervene quickly and provide additional support to struggling students while avoiding learning delays and resulting inequities.

Finally, AI can be used to develop fair and unbiased assessment tools. Using sophisticated algorithms, AI can objectively assess students’ skills and knowledge, without bias due to the human factor or the resulting prejudices. This promotes fairer assessment and ensures that all students are evaluated based on their actual abilities, regardless of their socio-economic background or context.

Finally, we will note that while professionals in the field remain an audience we must convince with arguments about the benefits of this technical advancement regarding the educational system of our young learners, students are generally more optimistic about the use of AI in education. Testimonies available on YouTube from high school students generally show their enthusiasm, affirming that this technology can help personalize learning and make education more accessible. However, the student class also stressed the need for education on AI to help students understand and use it effectively. This enthusiasm is particularly expressed and supported by learners from disadvantaged or developing countries because it seems to be “a way to have quicker access to more up-to-date educational resources” without having to “spend on going abroad to study.”

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The Challenges of Societal Integration

The challenge of integrating AI into education does not only lie in the adoption of new technologies, but also in how we prepare students for a future where AI will play a predominant role. To successfully navigate this future, it is imperative that students develop not only a technical understanding of AI, but also the skills to use this technology ethically and responsibly. This involves an education that goes beyond the basics of AI to include critical reflection on its societal and ethical implications.

Key Skills for the AI Era

Critical Thinking and Problem Solving: In a world where AI can process and analyze data at an unparalleled speed and scale, the ability to ask the right questions and interpret the results becomes crucial. Students must learn to use AI as a tool to complement and extend their own judgment and creativity, rather than as a replacement.

Ethics and Responsibility: As AI becomes more integrated into our daily lives, ethical questions and moral dilemmas become increasingly complex. Students must be equipped to consider the consequences of using AI, including impacts on privacy, fairness, and inclusion.

Numerical and Technological Skills: Familiarity with AI tools and platforms is essential, but students must also understand how these systems are built and function. This includes a basic knowledge of programming, data science, and human-machine interaction design, which, in my humble opinion and in the near future, will become just as essential as spelling and mathematics.

Collaboration and Communication: AI is transforming the way we work, emphasizing the importance of collaboration across disciplines. Students must be able to work effectively in teams, communicate their ideas clearly, and understand the perspectives of those from different fields.

Towards an Inclusive and Equitable Future

The integration of AI into education offers a unique opportunity to rethink teaching and learning for a digital future. However, to fully realize its potential, it is crucial that this integration be conducted ethically and inclusively. This means ensuring that all students, regardless of their background, have access to the same resources and learning opportunities. In addition, curriculums must be designed to promote a deep understanding of AI, its benefits, limitations, and ethical implications from a young age.

AI education should not be limited to technical aspects; it must also include reflection on the societal consequences of this technology. By teaching students how to use AI responsibly, we can prepare them to become not only technology consumers but also informed citizens and innovators aware of their responsibilities to society.

The integration of AI into education is both a challenge and an opportunity. By adopting a thoughtful and inclusive approach, we can use AI to enrich the educational experience while preparing students to thrive in a digital future. This requires close collaboration among educators, technologists, policymakers, and students themselves to ensure that AI education is accessible, equitable, and tailored to the needs of the 21st century.

Ultimately, the goal is to train not only AI-savvy minds, but also hearts aware of the deep impacts of this technology on society.

Impacts on Research

Having myself been an actor in research, other than teaching, this latter is a second annexed subject to the former that particularly concerns me as I have seen the complex workings of innovation and discovery.

The integration of artificial intelligence (AI) into innovation and research in the years to come with the first researchers and engineers who have completed all their studies with these tools, raises complex questions regarding the patentability and inventorship of inventions. The question of the patentability of innovations generated by artificial intelligence and the recognition of AI as an inventor raise profound questions about the future of research.

So, what is the state of perception among legal and scientific actors regarding the potential impact of these tools on researchers and the field of innovation?

The Challenge of Patentability

In the world of research, where each new discovery can be the key to a major breakthrough, the ability to patent these innovations is crucial. The integration of AI into this process poses a fundamental question: how to attribute the authorship of an invention when it is generated by a machine?

The European Patent Office (EPO) has adopted a common practice concerning the examination of computer-implemented inventions (IMO) and AI. For an AI-related invention to be patentable, it must produce a technical effect beyond the ordinary application of a computer. This implies that the characteristics of the data set needed to reproduce this technical effect must be sufficiently disclosed, even if the specific data set used by the inventors is not disclosed.

The Question of the Inventor

The perspective that a natural person must be designated as the inventor for an invention to benefit from patent protection, even in the absence of direct human involvement in the invention process, seems to me to be both restrictive and outdated in 2024 and in light of the imminent arrival of AI Assistive as successors to AI Ouvrière, since this approach does not fully recognize the potential of AI as a creative partner in the research process.

Towards a Sui Generis Right

The idea of protecting AI-created inventions through a sui generis right, similar to that of databases, seems to me a promising approach. This legal framework could recognize the unique contributions of AI while also addressing social and economic objectives, offering a new space for innovation.

Implications for Research

As a former actor in this field, I am curious about how these tools will serve the research community. Adopting a suitable legal framework could unlock new funding and encourage further innovation by clarifying how AI inventions can be protected and commercialized. This would open up new horizons for research, offering new possibilities for exploration and discovery.

I consider that the evolution of the legal framework for the patentability of AI inventions is essential to reflect the realities of contemporary research. Recognizing AI as a partner in the innovation process could profoundly transform our approach to intellectual creation and protection. It is imperative that researchers, legal experts, and decision-makers work together to develop solutions that encourage innovation while ensuring fair and appropriate protection for the contributions of AI. The landscape of patentability of AI inventions is evolving, with significant implications for research, education, and the development of AI. The recognition of AI as an inventor and the protection of the innovations it generates require in-depth legal reflection and perhaps the creation of new legal frameworks adapted to the unique challenges posed by AI.

For research institutions and education, this legal evolution (if correctly put in place) could unlock new tracks and funding and encourage innovation by clarifying how AI inventions can be protected and commercialized. By anticipating these changes, researchers and institutions can better navigate the intellectual property landscape and maximize the potential of their innovations.

Existing and Future AI Tools

Finally, we address the state of the art of existing tools in the field of Worker AIs (while waiting for the disruptive evolution as Assistant AIs). These already available tools for learners, researchers, and teachers are revolutionary not only in terms of facilitating access to information and automating repetitive tasks but also in creating more personalized and interactive learning environments.

Platforms like Yippity and SchoolHack offer innovative features for interactive learning, such as creating quizzes and thematic study groups, enabling effective review and self-paced learning. Scholarcy, on the other hand, revolutionizes the reading and analysis of research articles by providing quick and accurate summaries, extracting key information to facilitate academic research.

Tools like Fetchy simplify the creation of engaging lessons and the management of administrative tasks, allowing teachers to maximize their pedagogical potential. IBM Watson Education proposes a suite of AI-based solutions to personalize the learning experience, adapting content to the individual needs of students and providing performance analytics.

For researchers, tools like Scholarcy play a crucial role in optimizing the time spent reading and analyzing publications, creating a personalized summary library and facilitating access to important research.

The AI Trainer as a Bridge between Students, Researchers, and Teachers

In my reflection on the impact of new technologies, particularly artificial intelligence (AI), on educational pathways, I draw on my direct experience with technological innovation in education. AI is not merely a new way of doing things; it represents an opportunity to amplify our teaching and learning capabilities. In experiences conducted with certain universities, I have experimented with modules where AI is at the service of teachers, transforming the way students access and interact with knowledge.

Considering a project that serves as a bridge between these three areas, such as an immaterial trainer (AI) accessible 24/7, is not only a futuristic vision but an imminent reality. I have addressed the existence of early studies and experiences in this direction as early as 2023 during the Web3Lille conference (replay of the segment available on YouTube), this AI trainer could not only consolidate and apply concepts and knowledge but also guide the learner towards acquisition without replacing. This AI trainer would represent a significant evolution in how we approach education and research, offering personalized and on-demand support that transcends traditional limitations in teaching and learning.

The use of AI in education often sparks debates, with some fearing that these technologies will replace teachers. However, from my experience, AI is more of an augmentation tool. For example, in our experiments where AI acts as an intermediary layer between the teacher and the student, offering resources and clues to help students find their own answers, this model has not only allowed for personalized learning but also significantly improved accessibility to education for all students, including those who may have different learning styles or special needs.

An especially interesting aspect of these experiences is the AI’s ability to provide personalized feedback to each student. Instead of waiting for individual guidance from the teacher, students can receive immediate guidance and tailored exercises based on their level of understanding. In some of my pilot projects, AI has been used to generate custom exercises and provide personalized corrections, allowing students to progress at their own pace.

What I see is that the integration of AI into education paves the way for revolutionary teaching and learning methods. Rather than fearing innovation, we should embrace it as a means to enrich and broaden educational possibilities for all. These tools and initiatives underline the importance of AI in reshaping education and research, offering enriched and more accessible learning opportunities to all.

In the end, and in view of my experiences, I am optimistic about the future of education supported by AI: a future where students, researchers, and teachers can make the most of these technologies to explore, innovate, and learn more efficiently and engagingly.

About the sourcing

The analysis of artificial intelligence (AI) and its impact on the educational structure of modern society is a topic of increasing importance. To fully understand these complex issues, it is essential to rely on reliable and varied sources of information.

In this article, we will examine the use of arXiv and doi.org, journals of official scientific publications, as sources of excellent quality. However, we will also emphasize the importance of not neglecting YouTube as a resource, although it requires sorting and qualifying the content beforehand: it is essential to exercise caution because the content is not systematically verified and can vary in terms of quality and accuracy.

The quality of sources:

arXiv and doi.org are recognized as reliable sources for accessing official scientific publications. These platforms provide peer-reviewed scientific articles, ensuring rigor and quality of content. Researchers, educators, and experts can rely on these sources to obtain accurate and verified information.

YouTube, a mass resource:

This platform offers easy access to a wide range of content, including videos related to AI, education, and their users.

Sorting and qualifying content:

To fully leverage YouTube as a research base, it is crucial to sort and qualify the content beforehand by examining the references and cross-referencing the information mentioned. YouTube channels run by recognized experts in the field of AI and education can be particularly valuable. It should be noted that it would be a mistake to exclude content based on the absolute reliability of content creators because the remaining data such as the wealth of the

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