Multi-Mediator Models of Learning

J. A. Levin
Education Studies, UC San Diego

Data Driven Decision Making with Amanda Datnow			School Reform with Dave White			Digital Video with Chris Halter			Computational Educational Research with Michael Jacobson & John Vulic
Principal-Teacher Self-Repair	Principal-Teacher Reorganization		Student self-expectation	2 tipping points combined		Reflection	Communicating		Emergence in Two Domains	Cycles in Two Domains
	District-Principal-Teacher-Student		Reform tipping point	Reform tipping point elaborated		Reminding	Reflection & Comunicating		Emergence & Cycles	Non-linearity in Two Domains
									Math Learning Model, 2023
		Simple interactions				Model building tools
		Two interacting concepts	Three interacting concepts	Four interacting concepts	Five interacting concepts	Model editor		Model editor tutorials

This modeling system was built with NetLogo.

A screenmovie describes what Distributed Learning is and how these models illustrate Distributed Learning.

References

Halter, C., & Levin, J. (2014). Digital video projects of, by, and for new teachers: The multiple educational functions of creating multimedia. Journal of Educational Multimedia and Hypermedia 23(1), 383-406.

Halter, C., & Levin, J. (2013). Multi-mediator models of new teacher learning through creating multimedia. Paper presented at the 2013 American Educational Research Association meetings. San Francisco, CA. Available online at http://tinyurl.com/Halter-Levin-AERA2013-paper

Jacobson, M. J., Levin, J. A., & Kapur, M. (2019). Education as a complex system: Conceptual and methodological implications. Educational Researcher, 48(2), 112-119. https://doi.org/10.3102/0013189X19826958

Jacobson, M. J., Levin, J. A., & Vulic, J. (2023). Computational experiments of learning mathematics by low SES students: An innovation for educational measurement and assessment? [Paper presentation]. The Sydney Educational Measurement and Assessment Symposium 2023, Sydney, Australia.

Levin, J. (2015). Creating and evaluating multi-agent models of learning with qualitative and quantitative data.

Levin, J. A., & Ching, C. C. (2016). A multi-mediator framework for understanding teaching and learning in higher education classrooms.

Levin, J., & Datnow A. (2012). The principal role in data driven decision making: Using case study data to develop multi-mediator models of educational reform. School Effectiveness and School Improvement, 23(2), 179-201. [Available online at http://tinyurl.com/levin-datnow-sesi-2012 ]

Levin, J. A., & Datnow, A. (2012). Multiple mediator models of educational reform: Organizational learning as persistent change. Paper presented at AERA 2012. Vancouver CA. [Available online at http://tinyurl.com/Levin-Datnow-AERA2012-paper ]

Levin, J. A., & Jacobson, M. J. (2017). Education as a complex system: Implications for educational research and policy. Paper presented at the 2017 American Educational Research Association meetings. San Antonio, TX.

Levin, J. A., Jacobson, M. J., & Markauskaite, L. (2014). Combining computational modeling, theory, and data: Steps toward a meta-model framework for the study of learning. Paper presented at the 2014 American Educational Research Association meetings. Philadelphia, PA. [Available online at: http://tinyURL.com/LJM-AERA2014 ]

White, D. G. (2011). Using purposeful perturbations as a strategy for school reform: A design experiment at an alternative high school with low-performing students. Doctoral dissertation, University of California, San Diego. http://proquest.umi.com/pqdweb?did=2432867041&sid=1&Fmt=2&clientId=1561&RQT=309&VName=PQD

White, D. G., & Levin, J. A. (2013). Navigating the turbulent waters of school reform guided by Complexity Theory. Paper presented at the 2013 American Educational Research Association meetings. San Francisco, CA.

White, D. G., & Levin, J. A. (2016). Navigating the turbulent waters of school reform guided by complexity theory. Complicity: An International Journal of Complexity and Education, 13(1).

Wilensky, U. (1999). NetLogo. Evanston, IL: Center for Connected Learning and Computer-Based Modeling, Northwestern University. Retrieved from http://ccl.northwestern.edu/netlogo .

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