FeedBook will provide individual, intelligent feedback for students working in a web-based workbook. While working with FeedBook at home students receive hints regarding form and meaning, just as a tutor would provide hints. This enables a stepwise understanding of the concepts and mastering of the exercise. Based on the learning gains students achieve at home teachers can focus their classes more on communicative and task-based activities, while at the same time being informed about what issues their students face at the moment.
The FeedBook is an intelligent electronic workbook is designed to accompany the English teaching at the German Gymnasium. It is developed by computational linguists at the University of Tübingen in collaboration with the publisher Diesterweg on the basis of a current workbook for 7th grade English classes, Camden Town.
The main goal of the FeedBook is to develop a system that provides immediate, individualized feedback to English language learners working on a range of tasks. To provide this kind of scaffolding feedback, state-of-the-art compuational analyses of meaning and form are implemented and further developed.
A first version of the FeedBook is already used and tested at 4 German schools, containing 55 exercises. These include fill-in-the-blank and reading comprehension exercises that cover the entire English curriculum for the 7th grade at the Gymnasium.
The University of Tübingen is one of the oldest universities in Europe and one out of only 11 excellence universities in Germany. It hosts the project and provides financial resources.
Diesterweg is a publisher of educational materials. They manage the pilot classes and provide the materials used as a basis for the digital form.
The development of the FeedBook is funded through the Knowledge Transfer Project (T1) as part of the of the collaborative research center 833 "The Construction of Meaning". The computational analyses implemented in the FeedBook are based on research results of the SFB Project A4 (Comparing Meaning in Context) on state-of-the-art meaning assessment of learner answers.
Start of the development of the system prototype.July 2016
Rollout of prototype to five schools, start of data collection phase.October 2016
First major system update focusing on mobile and touchscreen optimization.November 2016
Second major system update introducing among other features an intelligent feedback memory system.December 2016
Third big system update with lots of system polishing and the introduction of a statistics module.February 2017
Fourth big system update with the introduction of a mosaic design and improved automatic feedback.February 2017
System update with reworked navigation bar and options for automatic system suggestions.April 2017
System update with first automatic input analysis and many functional improvements.June 2017
Update with 3rd generation of student perspective and new functions for adding new tasks to the system.July 2017
First version of interactive, direct, intelligent feedback.September 2017