Adapting tutoring feedback strategies to motivation

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

  • Susanne Narciss - , University of Passau (Author)
  • Sergey Sosnovsky - , German Research Center for Artificial Intelligence (DFKI) (Author)
  • Eric Andres - , German Research Center for Artificial Intelligence (DFKI) (Author)

Abstract

This paper investigates tutoring feedback strategies adaptive to student motivation. Several static feedback adaptation strategies have been designed based on the interactive tutoring feedback (ITF) model, implemented within the Adaptive Educational System (AES) ActiveMath and evaluated in a study with 6th and 7th graders. Student motivation profile (high vs. low perceived competence and intrinsic motivation) has been used to assign them to either conceptual or procedural feedback condition. The data analysis shows that, for low motivated students, the benefits of adapting feedback to motivational profiles are visible in both, performance during treatment and knowledge gain from pre- to post-test. For highly motivated students, no significant effects have been registered. These findings shed light on the role of motivation in tutoring feedback processing and have important methodological implications for designing feedback strategies in AESs.

Details

Original languageEnglish
Title of host publicationOpen Learning and Teaching in Educational Communities
EditorsChristoph Rensing, Sara Freitas, Tobias Ley, Pedro J. Muñoz-Merino
PublisherSpringer, Cham
Pages288-301
Number of pages14
ISBN (electronic)978-3-319-11200-8
ISBN (print)978-3-319-11199-5
Publication statusPublished - 2014
Peer-reviewedYes
Externally publishedYes

Publication series

SeriesLecture Notes in Computer Science, Volume 8719
Volume8719
ISSN0302-9743

Conference

Title9th European Conference on Technology Enhanced Learning, EC-TEL 2014
Duration16 - 19 September 2014
CityGraz
CountryAustria

External IDs

ORCID /0000-0002-4280-6534/work/142251715

Keywords