Research
Research Areas
Selected Research Projects
Methodologically, most of my work applies educational data science, learning analytics, and quantitative research techniques. Strengths, challenges, and sampling techniques of these methodological approaches are described in the review articles below:
Zitzmann, S., Fischer, C., et al. (2021). How many classes and students should ideally be sampled when assessing the role of classroom climate via student ratings on a limited budget? An optimal design perspective. Educational Psychology Review. https://doi.org/10.1007/s10648-021-09635-4
Fischer, C., Pardos, Z., Baker, R. S., Williams., J. J., Smyth, P., Yu, R., Slater, S., Baker, R., & Warschauer, M. (2020). Mining big data in education: Affordances and challenges. Review of Research in Education, 44(1), 130-160. https://doi.org/10.3102/0091732X20903304
Baker, R., Fischer, C., et al. (2020). The Benefits and Caveats of Using Clickstream Data to Understand Student Self-Regulatory Behaviors: Opening the Black Box of Learning Processes. International Journal of Educational Technology in Higher Education, 17(13), 1-24. https://doi.org/10.1186/s41239-020-00187-1