17. June 2024

Paris Conference on Education 2024

Paris Conference on Education 2024
Research

From 13.-17.06.2024, Dr. Sandra Hummel and Mana-Teresa Donner joined the Paris Conference on Education 2024. They presented two of the current research topics developed within the junior research group “Situating AI-Based Mentoring” at ScaDS.AI Dresden/Leipzig.

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We had the opportunity to engage in intensive exchanges with many colleagues, gaining insights into various research topics and networking extensively. Fascinating were the questions and stimulating discussions that emerged around our presentations on AI-powered learning assistants. These discussions highlighted the need for such assistance systems, which support and accompany learners individually in their learning process rather than merely providing copy-paste answers to posed questions. The feedback underscored the importance of tailored support in the education sector through advanced AI technologies.

Mana-Teresa Donner

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Presentations

Digital Companions for Learners: Design Principles for AI Assistants in Education

The first presentation “Digital Companions for Learners: Design Principles for AI Assistants in Education” addressed the development of empirically validated design principles for AI assistants in educational settings, focusing on learner acceptance and preferences. Their research highlighted the importance of transparency, trust, and fairness in AI design, proposing, for example, user-friendly interfaces, adaptability, customization options, and emotional intelligence to enhance the learning experience. These empirically grounded design principles offer a comprehensive framework for developers and educators to create AI assistants that align with user needs, promoting acceptance, and fostering positive learning outcomes.

Motivational Impacts of Artificial Intelligence on Student Learning

In their second work, “Motivational Impacts of AI on Student Learning,” they focused on understanding how AI influences student motivation and learning dynamics. The mixed-method approach revealed that AI can significantly enhance personalized learning experiences and foster critical metacognitive skills. Six distinct motivational categories emerge:

  • Efficiency Enhancement,
  • Productivity,
  • Autonomy,
  • Understanding/Competence Acquisition,
  • Competitive Advantage, and
  • Practical Application.

Consequently, this study unveils both the potentialities and challenges presented by AI in cultivating a tailored, learner-centric educational environment, emphasizing AI’s transformative capacity to reshape global educational paradigms. Understanding motivation-related factors is crucial for integrating AI into educational contexts in a didactically sound manner, enabling the creation of efficient, student-centered learning environments.

About the Paris Conference on Education 2024

In 2024, the Paris Conference on Education was organized for the third time. The venue was La Maison de la Chimie in Paris, situated in close approximinity to the Hôtel des Invalides. The International Academic Forum (IAFOR), organizor of the event, has several annual and international conferences on education. Learn more about the conference on its official website.

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funded by:
Gefördert vom Bundesministerium für Bildung und Forschung.
Gefördert vom Freistaat Sachsen.