Academic Listening Mini-Lectures Course
Course Content
We’ve released a new course that will improve your academic listening note-taking skills. This mini lecture listening course is designed to improve your note-taking skills using PowerPoint slides. There are ten mini PPT video lectures on a range of subjects, detailed PowerPoint slides (PPTs) for note taking, and comprehension questions (open answer questions, gap fill, table completion and multiple choice) to check your understanding after watching the lecture.
Key skills
- English Level B1-C2.
- 10-12-hour course.
- 10 mini video lectures.
- Vocabulary building.
- Note-taking with PPTs.
- 3-4 minute lectures.
- Comprehension questions.
- Lots of listening practice.
- All answers included.
- Duration: 30 Days.
What will learn on the course?
The course is divided into ten lessons: Each lesson includes vocabulary building, PPT slides, video, comprehension questions and answers.
Example of a course on Big Data
Task 1: Introduction
Do some research and take some notes on the following questions:
- What do you know about big data?
- How would you define ‘big data’?
- What are some of the issues with big data?
- How has big data changed how we live?
Task 2: Vocabulary
Check these words from the lecture:
- Algorithm.
- Public / private sector.
- Carbon emissions.
- Data breach.
- Explicit.
- Substantial.
- Misinformation.
- Privacy policy.
- General Data Protection Regulation (GDPR).
- Fraud.
- Digitalised world.
- Not all the words are included…
Look at the reference list sources used and make a note of the names as these will be referred to in the lecture.
Task 3: PPT Slides
Study these slides and try to predict what the lecture will be about:
These are key pre-lecture strategies to help you be prepared for a academic lecture.
Task 4: Lecture Video
Listen to the lecture and take notes using the four PPT slides provided: Listen two times only.
Task 5: Comprehension Questions
Now use your notes to answer these comprehension questions:
Task 6: Post lecture
Here are some post lecture tasks you can do:
- Write a 100-word summary of the lecture.
- Apply critical thinking strategies to the lecture. Use this critical thinking question document: here
- Research other types of big data.
- Find and read a case study on one area of big data.