ABSTRACT
Recent work has studied real-life social and usage datasets from educational applications, highlighting the opportunity to combine or merge them. It is expected that being able to put together different datasets from various applications will make it possible to support learning analytics of a much larger scale and across different contexts. We examine how this can be achieved from a practical perspective by carrying out a study that focuses on three real datasets. More specifically, we combine social data that has been collected from the users of three learning portals and reflect on how they should be handled. We start by studying the data types and formats that these portals use to represent and store social and usage data. Then we develop crosswalks between the different schemas, so that merged versions of the source datasets may be created. The results of this bottom-up, hands-on investigation reveal several interesting issues that need to be overcome before aggregated sets of social and usage data can be actually used to support learning analytics research or services.
- Elias, T. Learning analytics - definitions, processes and potential, http://learninganalytics.net/learning-analyticsdefinitionsprocessespotential.pdf, 2012.Google Scholar
- Ferguson, R. The state of learning analytics in 2012: A review and future challenges. Tech. Rep. Technical Report KMI-12-01, Knowledge Media Institute, The Open University, UK, 2011.Google Scholar
- Massart, D., and Shulman, E. Interaction data exchange. D-Lib Magazine 21, 5/6 (2013).Google Scholar
- Scheffel, M., Niemann, K., Leony, D., Pardo, A., Schmitz, H.-C., Wolpers, M., and Delgado Kloos, C. Key action extraction for learning analytics. In EC-TEL (2012), A. Ravenscroft, S. N. Lindstaedt, C. Delgado Kloos, and D. Hernández Leo, Eds., vol. 7563 of Lecture Notes in Computer Science, Springer, pp. 320--333. Google ScholarDigital Library
- Schmitz, H.-C., Wolpers, M., Kirschenmann, U., and Niemann, K. Dynamic ambient paradigms. In Paradigm Gems 2, A. Doe, Ed. Addison Wesley, 2005, pp. 223--233.Google Scholar
- Shane, D. Analytics to literacies: Emergent learning analytics to evaluate new literacies. Workshop on New Media, New Literacies, and New Forms of Learning, 2011.Google Scholar
- Verbert, K., Manouselis, N., Drachsler, H., and Duval, E. Dataset-driven research to support learning and knowledge analytics. Educational Technology & Society 15, 3 (2012), 133--148.Google Scholar
- Verbert, K., Manouselis, N., Ochoa, X., Wolpers, M., Drachsler, H., Bosnic, I., and Duval, E. Context-aware recommender systems for learning: A survey and future challenges. IEEE Transactions on Learning Technologies 99, PrePrints (2012). Google ScholarDigital Library
Index Terms
- Aggregating social and usage datasets for learning analytics: data-oriented challenges
Recommendations
Imitation Learning Datasets: A Toolkit For Creating Datasets, Training Agents and Benchmarking
AAMAS '24: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent SystemsImitation learning field requires expert data to train agents in a task. Most often, this learning approach suffers from the absence of available data, which results in techniques being tested on its dataset. Creating datasets is a cumbersome process ...
IncluSet: A Data Surfacing Repository for Accessibility Datasets
ASSETS '20: Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and AccessibilityDatasets and data sharing play an important role for innovation, benchmarking, mitigating bias, and understanding the complexity of real world AI-infused applications. However, there is a scarcity of available data generated by people with disabilities ...
Comments