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…

Educational data mining focuses on exploring increasingly large-scale data from educational settings, such as Learning Management Systems (LMS), and developing computational methods to understand students' behaviors and learning settings better. There has been a multitude of research dedicated to studying the student learning process, leading to…

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'…

The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…

An investigation which develops a method for the automatic collection of meaningful statistical information about the causes of program resubmittal in a batch-processing environment. (Author)

This is the fourth in a series of four reports describing a study of 1,614 junior high school mathematics and English students and 69 of their teachers that was undertaken to discover the effects of different teaching behaviors on cognitive and affective student outcomes. This booklet is the working manual used for coder training and includes…

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…

TO DETERMINE WHAT EFFECTS A STUDENT TEACHER'S COURSE WORK HAS ON HIS ACTUAL CLASSROOM BEHAVIOR, 22 STUDENT TEACHERS WERE GIVEN 90 HOURS OF OBSERVATION AND BEHAVIOR TRAINING, WITH PARTICULAR EMPHASIS ON THE FLANDERS SYSTEM OF INTERACTION ANALYSIS. A CONTROL GROUP OF 22 STUDENTS WAS GIVEN TRAINING IN LEARNING THEORY. THE FLANDERS SYSTEM WAS USED TO…

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…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…