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Khayi, Nisrine Ait; Rus, Vasile – International Educational Data Mining Society, 2019
In this paper, we applied a number of clustering algorithms on pretest data collected from 264 high-school students. Students took the pre-test at the beginning of a 5-week experiment in which they interacted with an intelligent tutoring system. The primary goal of this work is to identify clusters of students exhibiting similar knowledge…
Descriptors: High School Students, Cluster Grouping, Prior Learning, Intelligent Tutoring Systems
Shute, Valerie J.; Smith, Ginny; Kuba, Renata; Dai, Chih-Pu; Rahimi, Seyedahmad; Liu, Zhichun; Almond, Russell – Grantee Submission, 2020
In honor of Jim Greer, we share our recent work--a design and development study of various learning supports embedded within the game "Physics Playground." This 2-dimensional computer game is designed to help students learn Newtonian physics and uses stealth assessment to measure, in real-time, their physics understanding. The game…
Descriptors: Physics, Educational Games, Computer Games, Science Education
Scheuer, O.; McLaren, B. M. – IEEE Transactions on Learning Technologies, 2013
One of the main challenges in tapping the full potential of modern educational software is to devise mechanisms to automatically analyze and adaptively support students' problem solving and learning. A number of such approaches have been developed to teach argumentation skills in domains as diverse as science, the Law, and ethics. Yet,…
Descriptors: Intelligent Tutoring Systems, Persuasive Discourse, Cooperative Learning, Legal Education (Professions)

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