Abstract
New learning resources are created and minted in Massive Open Online Courses every week – new videos, quizzes, assessments and discussion threads are deployed and interacted with – in the era of on-demand online learning. However, these resources are often artificially siloed between platforms and artificial web application models. Facilitating the linking between such resources facilitates learning and multimodal understanding, bettering learners’ experience. We create a framework for MOOC Uniform Identifier for Resources (MUIR). MUIR enables applications to refer and link to such resources in a cross-platform way, allowing the easy minting of identifiers to MOOC resources, akin to #hashtags. We demonstrate the feasibility of this approach to the automatic identification, linking and resolution – a task known as Wikification – of learning resources mentioned on MOOC discussion forums, from a harvested collection of 100K+ resources. Our Wikification system achieves a high initial rate of 54.6% successful resolutions on key resource mentions found in discussion forums, demonstrating the utility of the MUIR framework. Our analysis on this new problem shows that context is a key factor in determining the correct resolution of such mentions.
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Notes
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MUIR refers to MOOC Uniform Identifier for Resources as well to the eponymous framework that creates such identifiers.
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or “Multimedia Educational Resource for Learning and Online Teaching”, https://www.merlot.org/.
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Acknowledgement
This research is funded in part by NUS Learning Innovation Fund – Technology grant #C-252-000-123-001, and also in part by the scholarship from China Scholarship Council (CSC), National Natural Science Foundation of China under Grant Nos.: 61673085 and 61433014, and UESTC Fundamental Research Funds for the Central Universities under Grant No.: ZYGX2016J196. We also thank the anonymous reviewers for their useful comments.
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An, YH., Chandresekaran, M.K., Kan, MY., Fu, Y. (2018). The MUIR Framework: Cross-Linking MOOC Resources to Enhance Discussion Forums. In: Méndez, E., Crestani, F., Ribeiro, C., David, G., Lopes, J. (eds) Digital Libraries for Open Knowledge. TPDL 2018. Lecture Notes in Computer Science(), vol 11057. Springer, Cham. https://doi.org/10.1007/978-3-030-00066-0_18
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