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Student behavior in error-correction-tasks and its relation to perception of competence

Schnaubert, Lenka; Andrès, Eric; Narciss, Susanne; Eichelmann, Anja; Goguadze, George; Melis, Erica

Authors

Eric Andrès

Susanne Narciss

Anja Eichelmann

George Goguadze

Erica Melis



Contributors

Carlos Delgado Kloos
Editor

Denis Gillet
Editor

Raquel M. Crespo García
Editor

Fridolin Wild
Editor

Martin Wolpers
Editor

Abstract

This paper investigates students' behavioral patterns within web-based multi-trial error-correction-tasks. By analyzing logfiles and considering students' initial perception of competence, we contribute to micro- as well as macro-adaption. We describe and visualize task processing data of 159 students, considering performance as well as attempts to solve a task. Taking preceeding behavior into account, it was possible to identify (maladaptive) behavioral patterns. Furthermore we compare the behavior of students with low vs. high perceptions of competence subsequent to a failure. In line with research regarding the influence of self-concept on performance and motivation, our findings suggest that students with a low perception of competence perform poorer and tend to skip trials more often after a failure, indicating motivational losses. Further research should build upon this study to enhance technology-based learning by designing learning environments and adaption strategies that take student behavior and prerequisites into account.

Citation

Schnaubert, L., Andrès, E., Narciss, S., Eichelmann, A., Goguadze, G., & Melis, E. (2011, September). Student behavior in error-correction-tasks and its relation to perception of competence. Presented at 6th European Conference on Technology Enhanced Learning, EC-TEL 2011, Palermo, Italy

Presentation Conference Type Edited Proceedings
Conference Name 6th European Conference on Technology Enhanced Learning, EC-TEL 2011
Start Date Sep 20, 2011
End Date Sep 23, 2011
Publication Date Sep 28, 2011
Deposit Date Apr 21, 2023
Publisher Springer
Peer Reviewed Peer Reviewed
Pages 370-383
Series Title Lecture Notes in Computer Science
Series Number 6964
Series ISSN 1611-3349
Book Title Towards Ubiquitous Learning
ISBN 9783642239847
DOI https://doi.org/10.1007/978-3-642-23985-4_29
Public URL https://nottingham-repository.worktribe.com/output/19009429
Publisher URL https://link.springer.com/chapter/10.1007/978-3-642-23985-4_29