Paper ID
2898
Paper Type
short
Description
In this research study, we address the issue of fostering the students’ motivation to learn in large-scale lectures in which the student-to-lecturer ratio is high. A common challenge in large-scale lectures is that providing adequate learning support for each student on an individualized basis is often not possible (esp. due to resource constrains). In order to provide an enhanced learning support in large-scale courses by fostering the students’ (intrinsic) motivation to learn on a daily basis, we apply a problem-centered design science research approach in this study. We developed an enhanced learning concept and a mobile learning app. After two design iterations, we finished the development of the mobile learning artifact that we are currently testing in a field study in a large-scale information systems lecture. In this paper, we present the design cycles and outline our future research steps.
Recommended Citation
Hobert, Sebastian and Berens, Florian, "Fostering Students’ Motivation to Learn Daily on a Voluntary Basis – A Gamified Mobile Learning Approach for Formal Learning Settings" (2019). ICIS 2019 Proceedings. 11.
https://aisel.aisnet.org/icis2019/learning_environ/learning_environ/11
Fostering Students’ Motivation to Learn Daily on a Voluntary Basis – A Gamified Mobile Learning Approach for Formal Learning Settings
In this research study, we address the issue of fostering the students’ motivation to learn in large-scale lectures in which the student-to-lecturer ratio is high. A common challenge in large-scale lectures is that providing adequate learning support for each student on an individualized basis is often not possible (esp. due to resource constrains). In order to provide an enhanced learning support in large-scale courses by fostering the students’ (intrinsic) motivation to learn on a daily basis, we apply a problem-centered design science research approach in this study. We developed an enhanced learning concept and a mobile learning app. After two design iterations, we finished the development of the mobile learning artifact that we are currently testing in a field study in a large-scale information systems lecture. In this paper, we present the design cycles and outline our future research steps.