References – learning analytics project

References

Bichsel, J. (2012). Analytics in higher education: Benefits, barriers, progress, and recommendations (Research report) [PDF file]. Educause Center for Applied Research. https://library.educause.edu/-/media/files/library/2012/6/ers1207.pdf?la=en&hash=B6E84D1B3A1A0921609BF64F298D741297DA3006

CanvasLMS. (2017, August 29). Canvas data for the rest of us – Jonathan Thomas, Qin Li [Video]. YouTube. https://www.youtube.com/watch?v=ZVS4MqWMmP4

Guarcello, M. Feng, L., Shahriar, P., Machajewski, S., & Ham, M., (2021, August 24). Discrimination in a sea of data: exploring the ethical implications of student success analytics. Educause. https://er.educause.edu/articles/2021/8/discrimination-in-a-sea-of-data-exploring-the-ethical-implications-of-student-success-analytics

Heath, M. (2020). Buried treasure or ill-gotten spoils: the ethics of data mining and learning analytics in online instruction [PDF file]. Education Tech Research Dev. https://lethbridgecollege.sharepoint.com/sites/LXD/Shared%20Documents/04%20LXD%20Projects/Learning%20Analytics/TG_Article_BuriedTreasure%20(1).pdf

Lockyer, L., Heathcote, E., Dawson, S. (2013). Informing pedagogical action: Aligning learning analytics with learning design. American Behavioral Scientist 57(10) 1439–1459. https://doi.org/10.1177/0002764213479367

Marachi, R., & Quill, L. (2020) The case of Canvas: Longitudinal datafication through learning management systems. Teaching in Higher Education, 25(4), 418-434. https://doi.org/10.1080/13562517.2020.1739641

Parnell, A., Wesaw, D., Brooks, C. (2018). Data and analytics for students success: A focus on collaboration between institutional research, student affairs, and information technology [PDF file]. NASPA Student Affairs Administrators in Higher Education, Association for Institutional Research, and Educause. https://files.eric.ed.gov/fulltext/ED606404.pdf

Richards, G. (2011). Measuring engagement: Learning analytics in online learning. Invited paper presented at “Electronic Kazan 2011” on 19 April 2011, Kazan, Tatarstan, Russian Federation.  https://www.academia.edu/779650/Measuring_Engagement_Learning_Analytics_in_Online_Learning

Salihoun, M., (2020). State of the art of data mining and learning analytics tools in higher education. International Journal of Emerging Technologies in Learning, 15(21). https://online-journals.org/index.php/i-jet/article/view/16435

Slade, S. (2016). Applications of student data in higher education: Issues and ethical considerations. Ithaka S+R. https://sr.ithaka.org/publications/applications-of-student-data-in-higher-education/

Taylor, S., Munguia, P. (2018) Towards a data archiving solution for learning analytics. LAK ’18: Proceedings of the 8th International Conference on Learning Analytics and Knowledge. https://lethbridgecollege.sharepoint.com/sites/LXD/Shared%20Documents/04%20LXD%20Projects/Learning%20Analytics/TG_towards-a%20data-archiving-solution.pdf

UDL on Campus: Universal Design for Learning in Higher Education. (n.d.). Using LMS data to inform course design. http://udloncampus.cast.org/page/assessment_data

Zeide, E. (2019, August 26). Artificial intelligence in higher education: Applications, promise and perils, and ethical questions. Educause Review. https://er.educause.edu/articles/2019/8/artificial-intelligence-in-higher-education-applications-promise-and-perils-and-ethical-questions