Duration
18h Th, 1d FW
Number of credits
| Master of education, Section 5: Biology | 3 crédits | |||
| Master of education, Section 4: Biology | 3 crédits |
Lecturer
Language(s) of instruction
French language
Organisation and examination
Teaching in the second semester
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
During DD partim II, lectures and practical exercises will continue to explore the issues raised during DD partim I and will address the following questions:
How can we establish contacts and exchanges with stakeholders close to the school environment who can help students and teachers in their professional practice?
How can teachers broaden their training to develop their profession? How should science teachers approach school trips with science students? How can teachers engage in continuing professional development?
How can teachers develop a specific methodology for teaching science to technical and professional audiences? How can teachers conduct experiments with students and make effective use of ICT?
How can we educate responsible citizens? How can we approach EVRAS and QSV (socially sensitive issues)?
Learning outcomes of the learning unit
The objectives pursued in DD partim I are maintained, and the specific objectives for this second part are as follows:
- to create a learning activity that addresses an issue encountered during the internship and justify the choices made in light of theoretical concepts
- to learn to go beyond the traditional school format and dare to visit places outside the school with pupils (museums and excursions)
- Integrate the use of ICT, experiments and models into teaching and learning
Prerequisite knowledge and skills
Having followed the DD partim I of the course.
Planned learning activities and teaching methods
Training is intended to be concrete in nature, concerning active methods:
- Practical scenarios are organised on topics such as the scientific method in the classroom, field trips and the use of ICT in education.
- a one-day field trip (Hautes Fagnes) is organised and compulsory
Mode of delivery (face to face, distance learning, hybrid learning)
Face-to-face course
Further information:
Face-to-face course
Further information:
Attendance is mandatory for classes. Classes are held on Wednesday afternoons, unless otherwise specified (Wednesday mornings, as indicated in the schedule on Celcat at the beginning of the year). Everyone's participation and involvement are necessary for the program to run smoothly.
Course materials and recommended or required readings
Platform(s) used for course materials:
- eCampus
Further information:
The documents needed for activities can be downloaded from eCampus
Exam(s) in session
Any session
- In-person
written exam AND oral exam
Written work / report
Other : presentation of the written work alone, and after improvement, in front of the group
Further information:
Exam(s) in session
Any session
- In-person
written exam AND oral exam
Written work / report
Further information:
Exam(s) in session
Any session
- In-person
written exam AND oral exam
Written work / report
Other : presentation of the written work alone, and after improvement, in front of the group
The DD partim II course will conclude with a two-part oral examination:
- individual, with presentation of an individual written assignment followed by questions for clarification;
- group, with oral presentation in front of peers.
These sequences will take place on Wednesdays in late May and June. Notation will related to this exam (individual oral presentation and report based on theorical elements and reflexive posture)
If hisher personal evaluation is not suffisant, one can't take part to the collectiv part of exam
Instructions can be downloaded from eCampus
Uses of Artificial Intelligence
You are required to review the ULiège Guidelines for the Use of Generative Artificial Intelligence (GAI) in Academic Work in order to use it in a thoughtful, responsible, critical, and transparent manner.
https://www.student.uliege.be/cms/c_19230399/fr/faq-student-charte-uliege-d-utilisation-des-intelligences-artificielles-generatives-dans-les-travaux-universitaires
Any omission or concealment of the use of GAI may be considered a violation of academic integrity guidelines.
Work placement(s)
Organisational remarks and main changes to the course
not applicable
Contacts
Teacher:
Marie-Noëlle HINDRYCKX
MN.Hindryckx@uliege.be
assistants :
Mercedes Avignon
mercedes.avignon@uliege.be
Clara Cravatte
clara.cravatte@uliege.be
Quartier Agora, 7 allée du Six Août
B6c local 2/5
B-4000 Liège
04 366 34 89