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Automated Learner Classification Through Interface Event Stream And Summary Statistics Analysis, Edgar E. Troudt
Automated Learner Classification Through Interface Event Stream And Summary Statistics Analysis, Edgar E. Troudt
Dissertations, Theses, and Capstone Projects
Reading comprehension is predominately measured through multiple choice examinations. Yet, as we will discuss in this thesis, such exams are often criticized for their inaccuracies. With the advent of "big data" and the rise of ITS (Intelligent Tutoring Systems), increasing focus will be placed on finding dynamic, automated ways of measuring students' aptitude and progress.
This work takes the first step towards automated learner classification based on the application of graphic organizers. We address the following specific problem experimentally: How effectively can we measure task comprehension via human translation of written text into a visual representation on a computer? Can …