English Speaking and Listening (3 cr)
Code: NV00CR09-3019
General information
Enrolment period
14.12.2024 - 03.03.2025
Timing
17.03.2025 - 16.05.2025
Credits
3 op
Virtual portion
3 op
Mode of delivery
Online learning
Unit
TAMK Languages and Communication
Campus
TAMK Main Campus
Teaching languages
- English
Seats
10 - 18
Teachers
- Henri Annala
- Marianna Leikomaa
Person in charge
Henri Annala
Objectives (course unit)
Learning outcomes of the course unit:
After completing the course, the students
- are familiar with various listening and speaking theories
- are fluent in communicating orally in a fully on-line environment
- are more aware of various cultural issues which may arise in multi-cultural work groups
- are able to create a video presentation in groups
- know how to use different on-line communication tools
Level: European Framework of Reference: B2-C1
Content (course unit)
Course contents
Speaking theory
Listening theory
Pronounciation exercises
Cultural aspects
The course consists of theory material which the students are required to study independently, individual assignments which are submitted to the teacher as well as a small group project. In the group project the students create a short video in small groups.
Prerequisites (course unit)
Prerequisites and co-requisites
Prerequisites: upper secondary school English or equivalent. This is an advanced course on English.
Further information (course unit)
The English course in speaking and listening is aimed at students who wish to improve their pronunciation in English, learn to listen to and comprehend spoken English better and who want to improve their skills in on-line collaboration and the use of contemporary on-line discussion tools.
The course is also suitable for all students from all degree programmes. It is also suitable for exchange students as the teaching language of the course is English.
This is a fully on-line course with no classroom meetings. The course consists of both independent work as well as a small final project which will be done in groups. Even though the course has a schedule with set deadlines, the students need to be able to also work independently.
Assessment methods and criteria
The students will be assessed both individually and in groups. Individual assignment consists of learning diaries and podcasts and the group assessment on the final product of the project the students will be doing in groups. The assessment methods will include assessment by the teacher, self-assessment as well as peer assessment.
Assessment scale
0-5
Teaching methods
The course takes place in an on-line learning environment with no actual classroom meetings, and half of the students in the course will be from Masaryk University, Czechia. There will be on-line meetings with the other students and the teacher through various on-line communication tools. The students will also be working on video project together in small groups. Other learning activities include producing audio and video recordings.
Learning materials
All the course materials are submitted through the learning environment and the students have no need to buy any materials.
Student workload
The course is divided into 3 sections, which each take approximately 3 weeks to complete, and 1 week at the end for feedback. The students need to plan their schedules individually and with their group members.
Note: There are no weekly classes!
Content scheduling
The course will begin in March.
Further information
The participants need to have access to a computer with speakers/headphones and a microphone. Laptop quality equipment is sufficient. They also need to have video recording equipment, but smartphone quality is quite enough (the students do not need to own a video camera).
Guidelines for using AI in this implementation
If a student uses AI tools in an allowed manner to assist with their learning tasks, they must cite the AI tools used and provide the prompts they used alongside their task responses. If a student presents AI-generated results as their own without citations, sources, and/or prompts, the teacher may reject the work or require it to be redone. The teacher has the right to ask the student if they have used AI in their learning task.