Predicting student performance in Massive Open Online Courses (MOOCs) is important to aid in retention efforts. Researchers have demonstrated that video watching features can be used to accurately predict student test performance on video quizzes employing neural networks to predict video test grades from viewing behavior including video searching…

The "Morbidity and Mortality Weekly Report" ("MMWR") series of publications is published by the Office of Science, Centers for Disease Control and Prevention (CDC), U.S. Department of Health and Human Services. Articles included in this supplement are: (1) Overview and Methods for the Youth Risk Behavior Surveillance System --…

Educational data mining constitutes a recent research field which gained popularity over the last decade because of its ability to monitor students' academic performance and predict future progression. Numerous machine learning techniques and especially supervised learning algorithms have been applied to develop accurate models to predict…

In educational technology and learning sciences, there are multiple uses for a predictive model of whether a student will perform a task correctly or not. For example, an intelligent tutoring system may use such a model to estimate whether or not a student has mastered a skill. We analyze the significance of data recency in making such…

Engagement influences participation, progression and retention in game-based e-learning (GBeL). Therefore, GBeL systems should engage the players in order to support them to maximize their learning outcomes, and provide the players with adequate feedback to maintain their motivation. Innovative engagement monitoring solutions based on players'…

This report, first in a series of seven, addressed the question, "What events disrupt classroom instruction and what are the most effective techniques teachers use to cope with these distractions?" This report describes the events which occurred in the evolution of the research study. The major sections are: (1) selection of the…

Using a modified typewriter interaction analysis system, an observer is able to record specific teacher-pupil behaviors as they interact in an instructional setting and distinguish accurately and comprehensively the cause and effect relationship. The system has the capability to distinguish patterns of behavior between different teachers in such a…

Twenty students in an Experience-Based Career Education program were randomly selected for two periods of observation (Fall and Spring) at two kinds of sites (work-experience and school). Observations were coded, and then compiled and analyzed by computer. Results indicated a surprising similarity between activities of the resource…