Prediction of student performance is one of the most important subjects of educational data mining. Artificial neural networks are seen to be an effective tool in predicting student performance in e-learning environments. In the studies carried out with artificial neural networks, performance predictions based on student scores are generally made,…

The purpose of this case study was to describe the role of teacher knowledge in the instructional methods of a community college developmental literacy instructor and determine in what ways that knowledge may have impacted the perceptions of the student participants regarding their authority over their academic progress in the class. Therefore,…

This paper uses a multi-level model to identify course variables that affect the relationship between study activities and achievement. Data on course characteristics were collected from 12 high school biology classes, and study activity and achievement measures were collected from 136 students enrolled in these classes. The results indicate that…