Abstract
AbstractThe ever-growing amount of learning material poses a challenge to both learners and teachers. In order to perform a learning task, students often need to search for additional information. Inquiry might be hampered if they do not know what exactly to search for, especially if they lack prior knowledge in a domain. Furthermore, they might need to recall meta-information, e.g., the implicit links between learning resources or the location of an explanation within a document. In addition, their performance in a learning task might suffer from the constant need for further information. As the authoring of learning material is a time-intensive task, reusability of resources in different contexts should be enabled. In this paper, we present the ALMA-Yactul ecosystem, a holistic approach for student-centered integration of learning material. Based on semantic annotations, learners are provided with scaffolding support for retrieving material related to their current study task. This integration of resources is showcased in a variety of applications and domains, such as a plugin for an IDE or an enhanced sketchnoting app. Moreover, we show how Yactul, a gamified student response platform, can benefit from semantic annotations and integration of learning material. Additionally, teachers are provided with semi-automatic annotation support in the popular Office 365 suite to foster the reusability of their content. Apart from presenting the results of its usage in university classes, we also show how high school students without prior knowledge benefitted from this scaffolding support. A significantly better performance in resolving programming-related tasks could be observed compared to a traditional search process. Finally, the ecosystem is evaluated against a state-of-the-art technology integration model.
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Education
Reference56 articles.
1. Alfieri, L., Brooks, P.J., Aldrich, N.J., Tenenbaum, H.R. (2011). Does discovery-based instruction enhance learning?Journal of Educational Psychology, 103(1), 1–18. https://doi.org/10.1037/a0021017.
2. Andrews, P., Zaihrayeu, I., Pane, J. (2012). A Classification of Semantic Annotation Systems. Semantic Web, 3(3), 223–248. https://doi.org/10.3233/SW-2011-0056.
3. Atashpendar, A., Grévisse, C., Rothkugel, S. (2019). Enhanced Sketchnoting through Semantic Integration of Learning Material. In: Florez, H., Leon, M., Diaz-Nafria, J.M., Belli, S. (Eds.) In Proceedings of the Second International Conference on Applied Informatics. https://doi.org/10.1007/978-3-030-32475-9_25. Springer International Publishing, Cham, (pp. 340–353).
4. Beaudoin, L.P. (2013). Cognitive Productivity: Using Knowledge to Become Profoundly Effective. Port Moody: CogZest.
5. Chandler, P., & Sweller, J. (1992). The split-attention effect as a factor in the design of instruction. British Journal of Educational Psychology, 62(2), 233–246. https://doi.org/10.1111/j.2044-8279.1992.tb01017.x.
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献