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Established under the Center for Excellence in Teaching, Learning, and Online Education (CETLOE), Learning Analytics Research Services (LARS) provides research development and learning analytics support across Georgia State University. By combining support services at every phase of the process, LARS assists departments and principal investigators with the resources and expert knowledge needed to promote their research endeavors.
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Ready to begin consultation on your research or idea?
How We Can Help
At the core, CETLOE’s Learning Analytics Team leverages data to enhance teaching and learning outcomes across Georgia State University. To serve faculty in their research endeavors, the following services are offered to support the work of departments and institution-level initiatives across the downtown and Perimeter College campuses.
Writing and Dissemination
Assisting faculty with grant proposal writing, manuscript edits, literature review, and dissemination of research findings.
Research Design
Supporting practitioners with IRB preparation, research methodology, survey design, and interpretation of results.
Data Strategy
Collaborating with faculty to examine project goals, analyze data, and recommend possible academic interventions.
Data Presentation
Providing data visualizations and presentations to identify and understand trends, outliers, and patterns.
Our Process
The research roadmap followed by LARS helps in providing the best possible products to all clients on time. Learn more about these different stages below or in this roadmap graphic.
Identify Grant
(Write & Receive)
Identify Partners
(Research Partners, Subject Matter Experts, Relevant Stakeholders)
Conduct Research
(IRB, Methodology/Design, & Analyze)
Disseminate Research
(Articles, Journals, Conferences, & Pedagogical Best Practices)
Our Work
Coming Soon!
Zhang, H., Marchong, C., & Li, Y. Present at Scholarship of Teaching and Learning Summit. Kennesaw State University, October 2021.
Zhang, H. & Li, Y. (2021). Integrating active learning activities and metacognition into STEM writing courses. Advances in Physiology Education.
Zhang, H., Marchong, C. & Li, Y. (2021). Tab-meta key: a model for exam review that promotes students’ academic performances and career-readiness competencies. Journal of College Science Teaching. (Accepted for Publication).
Our Team
The Learning Analytics Team combines a wide range of experience and expertise and remains committed to helping you to advance your research endeavors. With support for pre- and post-award services, LARS serves as a single contact center for meeting your faculty research needs.
