EMERGING TECHNOLOGIES FOR EDUCATION AND TRAINING - TEEF (M1 + M2) 

BECOME THE ARCHITECT OF THE FUTURE OF LEARNING  

The Master of Science aims to train“educational technology engineers”who are capable of designing, developing, and implementing training and learning systems that utilize emerging technologies such as XR (Extended Reality, which encompasses Virtual and Augmented Reality), Digital Twins, or AI (Artificial Intelligence) for educational purposes. 

This Master of Science program is offered by Arts et Métiers in partnership with Le Mans University. It is offered exclusively asa work-study program lasting one or two years, directly aligned with the needs of the educational and business sectors. It draws on the internationally recognized expertise of two local research teams: the IEIAH team at LIUM (Computer Science Laboratory of the University of Le Mans), which specializes in designing digital tools for education, and the Presence & Innovation team at LAMPA (Arts et Métiers), which studies learning with immersive technologies.

Taught at the Institut Arts et Métiers in the prestigious setting of the Laval Virtual Center, in partnership with Le Mans University, the TEEF program focuses on project-based learning.

The first year consists of approximately 400 hours of training and a work-study internship throughout the school year in a company, training organization, or research laboratory. 

> The courses offered in M1 focus on engineering and educational accessibility, course design and facilitation, introduction to research, emerging technologies for training (XR, AI), learning analytics, trainer support, English, and project management. 

> The second year (M2), which is directly accessible to final-year Arts et Métiers students Arts et Métiers graduates with a five-year degree, comprises approximately 400 hours of training and a work-study internship throughout the academic year in a company, training organization, or research laboratory. 

The M2 aims to strengthen students' expertise with new projects and courses on the cognitive psychology of learning, the creation of multimedia resources, training evaluation, the design of an e-learning module, resistance to change in individuals/organizations, training ethics, and training law.  

Four skill modules are offered to first-year (M1) and second-year (M2) students in the Master of Science program:

  • Advanced and specialized uses of digital tools (NUM)
  • Development and integration of highly specialized knowledge (SAVOIRS)
  • Specialized communication for knowledge transfer (COM)
  • Support for transformation in a professional context (TRANSF) 

MULTIPLE CAREER OPPORTUNITIES  

With a focus on emerging technologies, the Master of Science offers graduates a wide range of career opportunities, including roles as researchers and faculty members in the fields of education and training, trainers, training engineers, instructional designers, developers of XR and AI training tools, project managers specializing in emerging technologies and/or training, and directors of digital and innovation...  

Graduates of Master of Science acquired both a broad understanding of the field of computer science and an in-depth knowledge of emerging technologies (AI, XR, etc.) and innovative educational tools (tools for designing immersive courses, etc.). In addition, they will have a strong pedagogical foundation that will enable them to make informed decisions. They may be hired by public or private higher education institutions, companies that develop educational technology (edtech), corporate training departments at large companies, or organizations specializing in vocational training. 

ADMISSION REQUIREMENTS

The M1 is accessible after a bachelor's degree (licence or BUT in computer science and MMI), while the M2 can be taken after an M1, another M2 program, an engineering degree, or in the final year of engineering school.  

Applications for Master of Science are submitted through the national platform https://www.monmaster.gouv.fr/   

After their application materials have been reviewed, selected candidates participate in a remote interview to assess their motivation, educational background, and the alignment of their career goals with the Master of Science requirements. Final admission to the Master of Science upon the candidate securing a work-study placement (company, training organization, research laboratory, etc.).  

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