AncientGeek: Primary Sources Powering Historical Language Learning PROCEEDINGS
Maria Moritz, Monica Lent, Thomas Köntges, Emily Franzini, Maryam Foradi, Gregory Crane, University of Leipzig, Germany
E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in New Orleans, LA, USA ISBN 978-1-939797-12-4 Publisher: Association for the Advancement of Computing in Education (AACE), Chesapeake, VA
This paper showcases development on a digital learning environment built for users interested in ancient languages. The environment adopts a two-pronged approach: first, it assesses user progress during the language learning phase by using exercises such as treebanking and alignment; then, it offers users the opportunity to contribute their own annotated data. This paper provides a description of user testing conducted by the eLearning team in order to understand how these methods affect user engagement and persistence. The results of user testing showed higher user engagement and retention rates when compared to a more traditional quizzing method.
Moritz, M., Lent, M., Köntges, T., Franzini, E., Foradi, M. & Crane, G. (2014). AncientGeek: Primary Sources Powering Historical Language Learning. In T. Bastiaens (Ed.), Proceedings of World Conference on E-Learning (pp. 1407-1416). New Orleans, LA, USA: Association for the Advancement of Computing in Education (AACE). Retrieved March 23, 2018 from https://www.learntechlib.org/p/149021/.
© 2014 Association for the Advancement of Computing in Education (AACE)