Dave Johnson,Laura Jensen,Gwen Gorzelsky,James Folkestad
This series of sessions will inform attendees of recent progress and ongoing projects related to building academic and learning analytics capacity at CSU. Come learn more about the potential of learning analytics to support learning and teaching, as well as about major initiatives behind learning analytics, including efforts to outline an operational ethics and policy, build digital infrastructure, pilot and assess analytics tools, and get faculty involved in learning analytics research through CSU’s new Center for the Analytics of Learning and Teaching (C-ALT).
Description of Session: Learning analytics is often discussed in terms of technical capability and technical expertise. For example, it relies on capabilities such as long-term data storage, the use of statistical analyses and machine algorithms, the use of web-based reporting tools and data visualizations, and more. Questions about technical expertise are often focused on whether or not we can or could. However, the conversation should also address should and how. In other words, how do we advance ethical considerations for learning analytics in pace, or even ahead of, the conversation about whether or not we can do learning analytics? Those who attend this session should expect a brief, but comprehensive presentation on the ethical considerations related to learning analytics that intends to answer the following questions: What are ethical considerations for learning analytics? How does a conversation about ethics inform campus projects and policy? How are those who are spearheading analytics efforts also making progress with ethics? The presentation will be followed by small group break-out sessions for focused discussion, and attendees will be provided resources for further reading and study.
Goals and Target Audience:
After attending this session, faculty members, administrators, and support staff should be able to hold an informed discussion about ethical considerations for the use of learning analytics.