Assessment and Teaching Methods
Assessment Methods
The assessment of student achievements in this program will be carried out through a variety of methods, allowing for a comprehensive and accurate evaluation of their skills, in accordance with the requirements of the diploma or professional certification awarded. These methods include, but are not limited to:
- Case Studies: Students will be required to analyze complex real-life situations and propose innovative solutions.
- Exams and Written Assignments: These will assess the understanding of theoretical concepts and the ability to apply them to real-world problems.
- Individual Presentations and Group Discussions: These will evaluate students' communication skills, collaboration abilities, and critical thinking.
- Immersive Simulations: These will allow students to practice their skills in realistic environments.
- Professional Situational Assessment: Projects and Internships: These will enable students to apply their knowledge and skills in real-world professional contexts.
Other Assessment Methods
In addition to the assessment methods mentioned above, other approaches may be used based on the specific needs of the program and the skills to be evaluated. These approaches may include portfolios, self-assessment questionnaires, peer assessments, and evaluations by industry professionals.
Selection of Assessment Methods
Using a variety of assessment methods allows for a more comprehensive and objective evaluation of students' achievements. It also takes into account students' different learning styles and provides them with the opportunity to demonstrate their skills in various ways.
Pedagogical Methods
The program relies on a variety of pedagogical methods aimed at fostering active, engaging, and stimulating learning for students. These pedagogical methods include, but are not limited to:
- Conceptual and theoretical foundations: Classroom lectures and presentations allow students to acquire fundamental theoretical knowledge. These courses are taught by domain experts and are supported by concrete examples and case studies.
- Group work: Group assignments enable students to develop collaboration, communication, and problem-solving skills. They also encourage idea exchange and peer learning.
- Professional situational assessment (AI Clinic): Simulations, role-playing, and hands-on projects allow students to apply their knowledge and skills in realistic professional contexts. This helps them develop analytical skills, creativity, and decision-making abilities.
- Flipped classrooms: In flipped classrooms, students prepare assignments, case studies, and research before class. In class, they discuss, share ideas, and work together to deepen their understanding and solve problems. This approach promotes active, student-centered learning.
Other pedagogical methods
In addition to the pedagogical methods mentioned above, other approaches may be used depending on the specific needs of the program and learning objectives. These approaches may include guest lectures, workshops, company visits, and research projects.
Selection of pedagogical methods
The selection of pedagogical methods will be guided by the program's educational objectives, learner characteristics, and available resources. The goal is to create a dynamic and stimulating learning environment that fosters the acquisition of skills and knowledge necessary for success in the field of AI/Data.
Importance of diversity in pedagogical methods
Using a variety of pedagogical methods helps cater to different learning styles of students and keeps them engaged in their learning. It also creates a richer and more stimulating learning environment that promotes critical thinking, creativity, and problem-solving.