A Rubric Accompanying the Student Success Analytics Framework
Practitioners across campus can use a newly developed rubric to help create and sustain student success initiatives.
Prior to working at The Ohio State University, Ham taught high school social studies for thirteen years while serving in various positions ranging from department chair, curriculum coordinator, and Teaching with Technology committee chair. She then worked for Baker College for five years as an instructional designer where she led faculty training seminars on online course design. She moved to Columbus, Ohio in 2013 to help The Office of Distance Education and eLearning (ODEE) establish their distance education instructional design department. She served as a senior instructional designer with the department while also starting up the Distance Education Learning and Teaching Academy (DELTA) within ODEE until the autumn of 2016 when she transitioned to managing DELTA full-time. In the spring of 2019, Marcia moved into a newly created position with ODEE as their Learning Analytics Consultant – a position aligned with her research work and interests. In this role, Marcia focuses efforts on establishing policies and procedures around learning analytics and its ethical use to support distance education at Ohio State along with encouraging research and innovation around learning analytics to enhance learning experiences and student success.
Along with teaching online and facilitating many workshops and webinars at Ohio State, Marcia has presented at various conferences including the 2014 OSU Innovate Conference, the EDUCAUSE Annual Conference in both 2016 and 2018, the Ohio Valley Philosophy of Education Society (OVPES) Conference 2017, the 2019 Learning Analytics Summit at Indiana University Bloomington, and the 2019 Unizin Consortium Summit. She was a guest panelist in October 2017 for the Ethics and Big Data in Higher Education discussion and for the Spring 2019 discussion Privacy Matters: Consent, Privacy, and the Ethical Use of Data both given at The Ohio State University. She also co-presented an EDUCAUSE webinar Learning Analytics: Integrating Privacy and Ethics for Improved Student Outcomes in April 2019. She is co-author of the chapter “Ethical Issues and Potential Unintended Consequences of Data-Based Decision Making” in Responsible Analytics and Data Mining in Education: Global Perspectives on Quality, Support, and Decision Making (Khan, Corbeil, & Corbeil, 2019) and wrote chapter one “Theories of Innovation Adoption and Real-World Case Analysis” for the ebook Driving Educational Change: Innovations in Action (Correia, 2019).
Marcia Ham has a Bachelor of Arts in Secondary Education from the University of South Florida, a Master’s in Education Technology from Grand Valley State University and a Ph.D. from The Ohio State University in Educational Policy with a research focus on the ethical implications of student data analytics in higher education.
Practitioners across campus can use a newly developed rubric to help create and sustain student success initiatives.
This framework introduces users to the four central components of a student success analytics initiative—Preparedness, Outcomes, Analysis, and Decisions—providing a shared point of reference for institutional stakeholders.
In a sea of data, the use of student success analytics may unintentionally result in consequences that benefit some students while harming others.
| Status: | Yes, current member |