Abstract
Open Educational Resources (OER) are free and open-licensed educational materials widely used for learning. OER quality assessment has become essential to support learners and teachers in finding high-quality OERs, and to enable online learning repositories to improve their OERs. In this work, we establish a set of evaluation metrics that assess OER quality in OER authoring tools. These metrics provide guidance to OER content authors to create high-quality content. The metrics were implemented and evaluated within SlideWiki, a collaborative OpenCourseWare platform that provides educational materials in presentation slides format. To evaluate the relevance of the metrics, a questionnaire is conducted among OER expert users. The evaluation results indicate that the metrics address relevant quality aspects and can be used to determine the overall OER quality.
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References
Achieve, A.: Rubrics for evaluating open education resource (OER) objects. Achieve, Inc., Washington, DC (2011). Accessed 9 Jan 2020
Atenas, J., Havemann, L.: Questions of quality in repositories of open educational resources: a literature review. Res. Learn. Technol. 22 (2014)
Custard, M., Sumner, T.: Using machine learning to support quality judgments. D-Lib Mag. 11(10), 1082–9873 (2005)
Haughey, M., Muirhead, B.: Evaluating learning objects for schools. E-J. Instr. Sci. Technol. 8(1) (2005)
Kurilovas, E., et al.: Methodology for evaluating quality and reusability of learning objects. Electron. J. e-Learn. 9(1), 39–51 (2011)
Leary, H., et al.: Developing and using a guide to assess learning resource quality in educational digital libraries. In: Digital Libraries-Methods and Applications, pp. 181–196 (2011)
Moise, G., Vladoiu, M., Constantinescu, Z.: MASECO: a multi-agent system for evaluation and classification of OERs and OCW based on quality criteria. In: Ivanović, M., Jain, L.C. (eds.) E-Learning Paradigms and Applications. SCI, vol. 528, pp. 185–227. Springer, Heidelberg (2014). https://doi.org/10.1007/978-3-642-41965-2_7
Nesbit, J., Li, J.: Web-based tools for learning object evaluation. In: International Conference on Education and Information Systems: Technologies and Applications, pp. 21–25 (2004)
OEC. What is Open Courseware? https://www.oeconsortium.org/faq/what-is-open-courseware/
Palvia, S., et al.: Online education: worldwide status, challenges, trends, and implications. J. Global Inf. Technol. Manag. 21(4), 233–241 (2018)
Pérez-Mateo, M., et al.: Learner generated content: quality criteria in online collaborative learning. EU J. Open Distance E-Learn. 14(2) (2011)
Tavakoli, M., Elias, M., Kismihók, G., Auer, S.: Quality prediction of open educational resources a metadata-based approach. arXiv:2005.10542 (2020)
Vahdati, S., et al.: Opencourseware observatory: does the quality of opencourseware live up to its promise? In: Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, pp. 73–82 (2015)
Yuan, M., Recker, M.: Not all rubrics are equal: a review of rubrics for evaluating the quality of open educational resources. Int. Rev. Res. Open Distrib. Learn. 16(5), 16–38 (2015)
Acknowledgements
This research was funded by the BMBF project InclusiveOCW (grant no. 01PE17004D).
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Elias, M., Oelen, A., Tavakoli, M., Kismihok, G., Auer, S. (2020). Quality Evaluation of Open Educational Resources. In: Alario-Hoyos, C., Rodríguez-Triana, M.J., Scheffel, M., Arnedillo-Sánchez, I., Dennerlein, S.M. (eds) Addressing Global Challenges and Quality Education. EC-TEL 2020. Lecture Notes in Computer Science(), vol 12315. Springer, Cham. https://doi.org/10.1007/978-3-030-57717-9_36
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