Student modeling can help guide the behavior of a cognitive tutor system and provide insight to researchers on understanding how students learn. In this context, Bayesian Knowledge Tracing (BKT) is one of the most popular knowledge inference models due to its predictive accuracy, interpretability and ability to infer student knowledge. However,…

This cross-sectional survey examined the structure of university students' subjective knowledge of green computing--hypothesized to be a multidimensional construct with three important dimensions--and its association with pro-environmental behavior (PEB). Using a previously validated green computing questionnaire, data were collected from 842…

This study was conducted to examine the factors that influence informational text comprehension and to determine how these vary for students with higher and lower component skills. The sample included 177 students in grades 3-5. Regression analyses were used to predict informational text comprehension with decoding efficiency, vocabulary…

The purpose of this research was to conceptualize an R & D based learning-to-innovate (LTI) model. The problem to be addressed was the lack of a theoretical L TI model, which would inform science pedagogy. The absorptive capacity (ACAP) lens was adopted to untangle the R & D LTI phenomenon into four learning processes: problem-solving via…

This paper presents the detailed propositional analyses of the text employed in a study that compared the contents of recall protocols of high knowledge (HK) and low knowledge (LK) groups. The paper also includes the propositional analyses of the recall protocols of the HK and LK individuals, as well as detailed analyses of the results. (Author/FL)