The advent of artificial intelligence (AI) has opened up new perspectives in many fields, including education. AI-based technologies have the potential to transform educational practices, improve learning processes and prepare learners for the challenges of our digital society. In this doctoral thesis, we propose to explore the impact of artificial intelligences on education, taking an in-depth look at the opportunities, challenges and implications of these emerging technologies.
The problematic of this research lies in the growing need to adapt education to the demands of the 21st century, integrating technological innovations to deliver a more effective, personalised and relevant learning experience. Artificial intelligences represent a promising response to this problematic, but their integration into the field of education raises fundamental questions about the pedagogical, ethical and social consequences of these technological advances.
The main objective of this thesis is therefore to analyse in depth the impact of artificial intelligences on education, focusing on their applications, their potential benefits, and the challenges and concerns they raise. To achieve this aim, we will adopt a multidisciplinary approach, combining conceptual analyses, case studies and empirical investigations.
Structure of the dissertation
This thesis is structured in six main parts. In the first part, we present the context and the problematic linked to the use of artificial intelligences in education. We will raise the current educational issues and the needs that AIs can meet, identifying the research questions that guide our work.
The second part will be devoted to an in-depth literature review, where we will analyse previous work and existing research on the impact of artificial intelligences in education. We will examine the different applications of AIs, such as intelligent tutoring systems, learning data analysis, personalisation of teaching, etc.
In the third part, we will describe our research methodology, explaining how we designed our case studies and empirical investigations. We will discuss the tools and methods used to collect and analyse the data, as well as the measures taken to ensure the validity and reliability of our research.
Then, in the fourth section, we will present the results of our case studies and surveys, analysing them in the light of our research problematic. We will examine the potential benefits of AI in terms of improved learner performance, adaptation to individual needs, personalised feedback, and so on.
In the fifth part, we will address the challenges and concerns associated with the use of AI.