Key information
- Faculty
- IOE
- Teaching department
- Culture, Communication and Media
- Credit value
- 30
- Restrictions
-
Any student wishing to take this module from outside of the programme (MA Education and Technology) must apply to do so by submitting a short statement about why they want to join and how their background relates to the subject. The statement should be sent to ioe.ma.edtech@ucl.ac.uk
- Timetable
-
Alternative credit options
There are no alternative credit options available for this module.
The application of Artificial Intelligence (AI) in Education is of critical importance to the way that both fields of Education and AI evolve in the future as well as to influencing the direction the present debates in an informed way. This module will provide a wide range of students, including teachers, educators and current or potential start-up employees or aspiring entrepreneurs with an opportunity to reflect on their position to key debated topics related to Artificial Intelligence in Education and Data Analytics, and an introduction to fundamental concepts therein, along with an opportunity for practical application of those concepts to specific educational problems.
This module may be of interest also to students studying topics in media and education as it will tackle myths, ethical questions and future perspectives related to Artificial Intelligence in general and in Education in particular.
Module deliveries for 2024/25 academic year
Intended teaching term:
Term 2 ÌýÌýÌý
Postgraduate (FHEQ Level 7)
Teaching and assessment
- Mode of study
- Online
- Methods of assessment
-
100%
Coursework
- Mark scheme
-
Letter Grade
Other information
- Number of students on module in previous year
-
8
- Module leader
-
Professor Kaska Porayska-pomsta
- Who to contact for more information
- ioe.ma.edtech@ucl.ac.uk
Intended teaching term:
Term 2 ÌýÌýÌý
Postgraduate (FHEQ Level 7)
Teaching and assessment
- Mode of study
- Online
- Methods of assessment
-
100%
Coursework
- Mark scheme
-
Numeric Marks
Other information
- Number of students on module in previous year
-
0
- Module leader
-
Professor Kaska Porayska-pomsta
- Who to contact for more information
- ioe.ma.edtech@ucl.ac.uk
Intended teaching term:
Term 2 ÌýÌýÌý
Postgraduate (FHEQ Level 7)
Teaching and assessment
- Mode of study
- In person
- Methods of assessment
-
100%
Coursework
- Mark scheme
-
Letter Grade
Other information
- Number of students on module in previous year
-
27
- Module leader
-
Professor Kaska Porayska-pomsta
- Who to contact for more information
- ioe.ma.edtech@ucl.ac.uk
Intended teaching term:
Term 2 ÌýÌýÌý
Postgraduate (FHEQ Level 7)
Teaching and assessment
- Mode of study
- In person
- Methods of assessment
-
100%
Coursework
- Mark scheme
-
Numeric Marks
Other information
- Number of students on module in previous year
-
1
- Module leader
-
Professor Kaska Porayska-pomsta
- Who to contact for more information
- ioe.ma.edtech@ucl.ac.uk
Last updated
This module description was last updated on 19th August 2024.
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