The College of Education Data Analytics team assists college leadership, faculty and staff with student data collection and analysis for accreditation and in pursuit of inclusive excellence. The team is currently working to improve access to data, data accuracy and efficiency of use through a collaborative effort with the College’s Office of Student and Academic Affairs.
Data Analytics and the ways we help you
About the Team
The College of Education Data Analytics team is committed to student data optimization and accuracy for the benefit of student communication, student recruitment, student retention, program experience and learning outcomes. We seek to leverage data in order to narrow disparities such as unequal representation, variations in educational opportunities driven by socio-economic and demographic factors and achievement gaps. Our goal is to improve the program experience for all students, empower and give voice to potential, current and future College of Education students.
Laleah Fernandez, Ph.D, Associate Director of the Data Analytics
Laleah joined the College of Education in 2019. Before her role as Director of Data Analytics, she served as the Assistant Director of the James H. and Mary B. Quello Center in the Media & Information Department at Michigan State University. Prior to coming to MSU, Laleah taught courses in Data Science and Information Technology for the University of Wisconsin – Green Bay, in the Department of Information and Computing Science as Assistant Professor and Program Advisor for Information Science majors. Laleah earned her Ph.D. in Media and Information Studies, her M.A. in Advertising and her B.A in Journalism, all from MSU. Her research examines the role of technology, policy and regulation for citizens, communities, and society. Current studies include digital inequalities in urban and rural settings, and the role of broadband access on student performance and well-being. She has published research and reviews in the areas of digital inequities, advertising, economic development, mobilization, and science communication.
Carmen L. Elliott, Data Analyst
Carmen L. Elliott has been serving the College of Education for the past 21 years providing support to assistant deans. Her extensive knowledge and understanding has been instrumental in the data analysis she provides to our college’s administration. Her recent addition to the Data Analytics team provides the ability to create analytical reports for different stakeholders at the college, university level and external entities. Her knowledge and expertise in querying the university data sources such as SISInfo, SISFrzn andSISFull is extremely valuable for data reporting. You may have seen her work in the data sets of many national and federal reports such as Title II, US News and World Report and the accreditor for our Teacher Preparation Program, CAEP. The Data Analytics team is lucky to have her with such great expertise in this field.
Qian joined the data analytics team in 2021. She has been specializing in evaluation, measurement and research. Since 2014, She has been actively involved in nationally and organizationally funded research projects and worked with many different researchers within education area as a research and analysis expert. Her research focuses on research design, student success, student and teacher outcomes, educational interventions and meta-analysis. Qian has extensive experience in conducting educational research and data analytics with large-scale data sets. She has published research in the areas of evaluation, effectiveness of interventions and quantitative research methods. Prior to attending MSU, Qian attended Western Michigan University to pursue her Ph.D. degree in Evaluation, Measurement and Research. She earned her M.A. in Educational Technology and investigated the development of different types of education resources.
Xuran Wang is a Ph.D. student majoring in Measurement & Quantitative Methods at Michigan State University. She has joined the Data Analytics team since August 2020. Her research interests focus on the evaluation of educational policies and school interventions for improving academic performances, especially mathematics performance. A major part of her research agenda is to conduct empirical analysis for exploring relevant predictors that influence students’ academic performances. Since her research is drawn predominantly from large-scale national databases, it holds particularly strong comparisons between different systems/cultures/values. The Program for International Student Assessment (PISA) 2003, 2012 (and later 2021) mathematics survey datasets are her primary data source.
Jiachen Liu is a Ph.D. student in the Measurement & Quantitative Methods program. She joined the Data Analytics team in February, 2020. Her research interest currently focuses on the effect of education finance on student achievement through student opportunity to learn.
Student Data Request
The College of Education Data Analytics team provides timely and accurate data to support targeted communication with students, accreditation and ranking reports, and data-informed policy and decision making within the college. To make a data request please complete this Student Data Request form. Please note that we currently offer this service for student data.
Routine Data Pulls
Every semester the Data Analytics Teams pulls student data as it pertains to enrollment and admission of the College of Education students after the last day of drop/add classes. This will help ensure a consistent population for reporting throughout the academic year. If you would like a particular data point, please contact us at firstname.lastname@example.org and if possible, we will add it to the datasets below.
The groups being pulled are:
- CED Undergraduate Enrollment
- CED Graduate Enrollment
- CED Teacher Preparation students with a PEND code on their 1900 and 1903 TE codes. This population will include all juniors, senior and Interns.
- CED students with a pending codes in the UECP and GECP cohort.
Student Data Inventory
Our team is mapping student data sources across the College of Education and Michigan State University. This inventory assists in our aim to preserve the accuracy and integrity of student data used to inform research and policy decisions. If you work with data as part of job in the College of Education please complete our 5 minute survey.
Data Needs Assessment
As part of our mission to optimize student data collection and use for data-informed policy and decision making within the college, we are asking College of Education stakeholders to complete a needs assessment. The needs assessment tracks and monitors student data challenges, including, but not limited to: missing data points needed to make informed decisions, data inaccuracies and data analysis limitations. Please use the Data Needs Assessment form to describe your data challenges or unmet student data needs.
Collaborations and Support
We are looking for opportunities to assist and collaborate with College of Education stakeholders in pursuit of student success and inclusive excellence. If you are interested in collaborating with the Data Analytics team, please use this Collaboration Inquiry form and someone will be in touch to discuss ways that we can support your work.
If you are currently working student data as part of your job in the College of Education, please add your name to our College of Education Student Data Network. This group serves as support to those who query, collect or analyze student data for the various programs, departments and units within the College. Our aim is to streamline student data work through systemized data queries, reduce redundancy across the college through data sharing efforts and generate customized training materials tailored to the unique challenges faced by program coordinators, program secretaries and support staff within the College.
Office: 246 Erickson Hall