Nia Dowell
I am a postdoctoral research fellow in the School of Information and Digital Innovation Greenhouse at the University of Michigan. I completed my PhD at the Institute for Intelligent Systems in the University of Memphis under the advisement of Professor Arthur Graesser.
My primary interests are in cognitive psychology, discourse processing and learning sciences. In general, my research focuses on using language and discourse to uncover the dynamics of socially significant, cognitive, and affective processes. I am currently applying computational techniques to model discourse and social dynamics in a variety of learning environments including intelligent tutoring systems (ITSs), small group computer-mediated collaborative learning environments, and massive open online courses (MOOCs). My research has also extended beyond the educational and learning sciences spaces and highlighted the practical applications of computational discourse science in the clinical, political and social sciences areas.
Supervisors: Art Graesser
My primary interests are in cognitive psychology, discourse processing and learning sciences. In general, my research focuses on using language and discourse to uncover the dynamics of socially significant, cognitive, and affective processes. I am currently applying computational techniques to model discourse and social dynamics in a variety of learning environments including intelligent tutoring systems (ITSs), small group computer-mediated collaborative learning environments, and massive open online courses (MOOCs). My research has also extended beyond the educational and learning sciences spaces and highlighted the practical applications of computational discourse science in the clinical, political and social sciences areas.
Supervisors: Art Graesser
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The workshop will focus on the utility of Coh-Metrix in discourse theory and educational practice. We will begin with an introduction to the Coh-Metrix and Test Easability Assessor (TEA) tools, including a detailed description of the indices in the context of multilevel theoretical frameworks of discourse comprehension and learning. A review of published studies will help illustrate the relationship between discourse and learning. We will then walk participants through a series of practical exercises that will give hands-on experience with cleaning, preparing, and analyzing texts using Coh-Metrix, conducting statistical analyses with Coh-Metrix data, and data interpretation.
Intended learning outcomes:
Participants will become familiar with the structure of the Coh-Metrix and Test Easability Assessor (TEA) tools and their applications, with particular focus on the analysis of educational data. Participants will learn about the various indices available in each tool, and how to interpret their significance.
The workshop will focus on the utility of Coh-Metrix in discourse theory and educational practice. We will begin with an introduction to the Coh-Metrix and Test Easability Assessor (TEA) tools, including a detailed description of the indices in the context of multilevel theoretical frameworks of discourse comprehension and learning. A review of published studies will help illustrate the relationship between discourse and learning. We will then walk participants through a series of practical exercises that will give hands-on experience with cleaning, preparing, and analyzing texts using Coh-Metrix, conducting statistical analyses with Coh-Metrix data, and data interpretation.
Intended learning outcomes:
Participants will become familiar with the structure of the Coh-Metrix and Test Easability Assessor (TEA) tools and their applications, with particular focus on the analysis of educational data. Participants will learn about the various indices available in each tool, and how to interpret their significance.