Matters of Frequency, Immediacy and Regularity: Engagement in an Online Asynchronous Course

Author:

Hoffman Daniel L.ORCID,Furutomo FayeORCID,Eichelberger ArianaORCID,McKimmy PaulORCID

Publisher

Springer Science and Business Media LLC

Subject

Education

Reference44 articles.

1. Advanced Distributed Learning Initiative (2022). Experience API (xAPI) Standard. Defense human resources activity. Retrieved January 24, 2022, from https://adlnet.gov/projects/xapi/

2. Agudo-Peregrina, ÁF., Iglesias-Pradas, S., Conde-González, M., & Hernández-García, Á. (2014). Can we predict success from log data in VLEs? Classification of interactions for learning analytics and their relation with performance in VLE-supported F2F and online learning. Computers in Human Behavior, 31, 542–550. https://doi.org/10.1016/j.chb.2013.05.031

3. Anseeuw, J., Verstichel, S., Ongenae, F., Lagatie, R., Venant, S., & De Turck, F. (2016). An ontology-enabled context-aware learning record store compatible with the experience API. In A. Fred, J. Dietz, D. Aveiro, K. Liu, J. Bernardino, & J. Filipe (Eds.), KEOD: Proceedings of the 8th international joint conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management  (vol. 2, pp. 88–95). SCITEPRESS (Science and Technology Publications). https://doi.org/10.5220/0006049000880095

4. Asarta, C. J., & Schmidt, J. R. (2013). Access patterns of online materials in a blended course. Decision Sciences Journal of Innovative Education, 11(1), 107–123. https://doi.org/10.1111/j.1540-4609.2012.00366.x

5. Avella, J. T., Kebritchi, M., Nunn, S. G., & Kanai, T. (2016). Learning analytics methods, benefits, and challenges in higher education: a systematic literature review. Online Learning, 20(2), 13–29. https://doi.org/10.24059/olj.v20i2.790

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