@inproceedings{681b9dc6f8094d97aaefb9f47491c5b2,
title = "Affect matters: Exploring the impact of feedback during mathematical tasks in an exploratory environment",
abstract = "We describe a Wizard-of-Oz study that investigates the impact of different types of feedback on students{\textquoteright} affective states. Our results indicate the importance of matching carefully the affective state with appropriate feedback in order to help students transition into more positive states. For example when students were confused affect boosts and specific instruction seem to be effective in helping students to be in flow again. We discuss this and other effective ways to and implications for the development of our system and the field in general",
keywords = "Artificial intelligence, Education, Feedback",
author = "Beate Grawemeyer and Manolis Mavrikis and Wayne Holmes and Alice Hansen and Katharina Loibl and Sergio Guti{\'e}rrez-Santos",
year = "2015",
month = jun,
day = "17",
doi = "10.1007/978-3-319-19773-9_70",
language = "English",
isbn = "9783319197722",
volume = "9112",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag London Ltd",
pages = "595--599",
booktitle = "Artificial Intelligence in Education - 17th International Conference, AIED 2015, Proceedings",
address = "United Kingdom",
note = "17th International Conference on Artificial Intelligence in Education, AIED 2015 ; Conference date: 22-06-2015 Through 26-06-2015",
}