Abstract
The amount of data extracted from learning experiences has grown at an astonishing pace both in depth due to the increasing variety of data sources, and in breath with courses now being offered to massive student cohorts. However, in this emerging scenario instructors are now facing the challenge of connecting the knowledge emerging from data analysis with the provision of meaningful support actions to students within the context of an instructional design.
The objective of this tutorial is to give attendees a set of hypothetical scenarios in which the knowledge extracted from a learning experience needs to be used to provide frequent personalized feedback to students.
The objective of this tutorial is to give attendees a set of hypothetical scenarios in which the knowledge extracted from a learning experience needs to be used to provide frequent personalized feedback to students.
Original language | English |
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Title of host publication | Proceedings of the 7th International Conference on Learning Analytics and Knowledge (LAK 2017) |
Publisher | ACM Press |
Pages | 522-523 |
Number of pages | 2 |
ISBN (Electronic) | 978-1-4503-4870-6 |
DOIs | |
Publication status | Published - 13 Mar 2017 |
Publication series
Name | ACM International Conference Proceeding Series |
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Keywords / Materials (for Non-textual outputs)
- learning analytics
- feedback
- predictive analytics
- instructional design
- student support