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Chen, Fu; Cui, Ying – Journal of Educational Data Mining, 2020
Effective learning outcome modeling is crucial to the success of learning evaluation in education. In the digital age, the movement towards online learning and computerized assessments has resulted in an explosion of structured and unstructured educational data (e.g., learners' problem-solving process data), which offers new opportunities for…
Descriptors: Models, Outcomes of Education, Data Analysis, Psychometrics
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Chen, Fu; Cui, Ying; Chu, Man-Wai – International Journal of Artificial Intelligence in Education, 2020
The purpose of this case study is to demonstrate how to utilize machine learning approaches to analyze student process data for validating and informing digital game-based assessments (DGBAs) with an evidence-centered game design (ECgD). The first analysis was conducted to examine whether students' mastery of the overall skill required by the game…
Descriptors: Game Based Learning, Learning Analytics, Design, Evidence Based Practice