Alan Nong: Reflections on 15 Years of the Joan Ganz Cooney Center

Alan Nong was a Cooney Center research intern from February 2014 to March 2015.

 

At the Cooney Center, I had the opportunity to work with some of the most amazing people as we investigated the issues facing modern Latino families and media use. From creating a Mission Impossible-style briefing video to site visits with the kids and their families, I knew the work we were doing was truly impactful.

My time with the Cooney Center had played a major role in my life as I had recently applied to graduate school during this time. From this research experience, I developed a strong interest in the measurement of learning and educational media. I eventually ended up attending the Research, Evaluation, Measurement, and Statistics program at the University of Kansas, and my dissertation topic was on evaluating the impact of serious games. Needless to say, my experience with the Cooney Center was a strong influence in the years that followed.

Currently, I work in the Office of Institutional Research and Decision Support at Loyola Marymount University. As a Senior Institutional Research Associate, I help coordinate and streamline the reporting of official university statistics to various institutional, agency, state, and federal reports, questionnaires, and surveys. I also provide leadership in the development of research studies to inform university planning and decision-making and assist in data management and governance processes.

 

 

Alan Nong, PhD, is a Senior Institutional Research Associate at Loyola Marymount’s Office of Institutional Research. Previously, Alan supported a variety of research initiatives and program evaluations within the Department of Educational Psychology at the University of Kansas. Alan received his B.A. in Psychology from the University of California, Riverside, M.A. in Education and Human Development from George Washington University, and Ph.D. in Educational Psychology and Research with a concentration in Research, Evaluation, Measurement, and Statistics from the University of Kansas.