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Levy, Roy – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2014
Digital games offer an appealing environment for assessing student proficiencies, including skills and misconceptions in a diagnostic setting. This paper proposes a dynamic Bayesian network modeling approach for observations of student performance from an educational video game. A Bayesian approach to model construction, calibration, and use in…
Descriptors: Video Games, Educational Games, Bayesian Statistics, Observation
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Thiede, Keith W.; Redford, Joshua S.; Wiley, Jennifer; Griffin, Thomas D. – Journal of Educational Psychology, 2012
We explored whether exposure to different kinds of comprehension tests during elementary years influenced metacomprehension accuracy among 7th and 8th graders. This research was conducted in a kindergarten through 8th grade charter school with an expeditionary learning curriculum. In literacy instruction, teachers emphasize reading for meaning and…
Descriptors: Charter Schools, Literacy, Reading Comprehension, Educational Experience
Rickles, Jordan H. – Society for Research on Educational Effectiveness, 2010
This paper illustrates how information collected through interviews can develop a richer understanding of the assignment mechanism, which can result in more plausible causal effect estimates from observational studies and provides a roadmap for sensitivity analysis. Focusing on the issue of assignment to algebra in 8th grade, the author shows how…
Descriptors: Middle Schools, Grade 8, Interviews, Algebra
Gong, Yue; Rai, Dovan; Beck, Joseph E.; Heffernan, Neil T. – International Working Group on Educational Data Mining, 2009
In this study, we are interested to see the impact of self-discipline on students' knowledge and learning. Self-discipline can influence both learning rate as well as knowledge accumulation over time. We used a Knowledge Tracing (KT) model to make inferences about students' knowledge and learning. Based on a widely used questionnaire, we measured…
Descriptors: Data Analysis, Self Control, Knowledge Level, Learning